Source notes and additional material

Thomas Hunter II, “Photos: Hundreds protest at Open AI, Anthropic offices in San Francisco”, Mission Local, 11 July 2026; Elena Kadvany, “S.F. protesters march on OpenAI, Anthropic and Google DeepMind”, San Francisco Chronicle, same date. Kadvany reported about 200 participants, including people working in AI; the organizers estimated about 400. Their demand was a reciprocal commitment to pause frontier development.

Ashish Vaswani et al., “Attention Is All You Need”, 2017.

Ashish Vaswani et al., “Attention Is All You Need”, 2017.

Brent D. Griffiths, “8 standout stories from Kevin Roose’s new book”, Business Insider, October 7, 2026, describing Kevin Roose, The AGI Chronicles (Farrar, Straus and Giroux, 2026).

Brent D. Griffiths, “8 standout stories from Kevin Roose’s new book”, Business Insider, October 7, 2026, describing Kevin Roose, The AGI Chronicles (Farrar, Straus and Giroux, 2026).

Future of Life Institute, “Pause Giant AI Experiments”, 22 March 2023; Center for AI Safety, statement launch, 30 May 2023. FLI called for a pause of at least six months in training beyond GPT-4, not the withdrawal of GPT-4. Its page displayed more than thirty thousand signatures when consulted for this edition; that is not the launch-day count. The later CAIS statement set a priority without specifying a pause.

Future of Life Institute, “Pause Giant AI Experiments”, 22 March 2023; Center for AI Safety, statement launch, 30 May 2023. FLI called for a pause of at least six months in training beyond GPT-4, not the withdrawal of GPT-4. Its page displayed more than thirty thousand signatures when consulted for this edition; that is not the launch-day count. The later CAIS statement set a priority without specifying a pause.

Illustrative release announcements: OpenAI’s GPT-4, 14 March 2023, and o1-preview, 12 September 2024; Google’s Bard-to-Gemini announcement, 8 February 2024; Anthropic’s Claude 3 family, 4 March 2024. The latter two were less than four weeks apart. These dates illustrate overlapping product development, not a fixed release schedule or equal gains in capability.

The Bletchley Declaration records the participating countries and EU; “A Right to Warn” asks companies for protections beyond existing whistleblower law. The Statement on Superintelligence displayed 72,464 signatures on 7 September 2026. Its conditions concern both scientific consensus and public agreement, and its target is superintelligence, not every currently available AI system.

“We Must Act Now: A Statement on AI’s Transformation of the Economy”, 13 July 2026; Stanford Digital Economy Lab’s launch announcement supplies the initial count and organizers. Ronnie Chatterji of OpenAI and Peter McCrory of Anthropic appear on the signatory list. The statement describes a possible transformation and urges preparation; it does not predict a measured effect or prescribe a development pause.

Demis Hassabis, “A Framework for Frontier AI and the Dawning of a New Age”, 14 July 2026. His proposed standards body would be funded largely by industry and overseen federally. Initial voluntary prerelease reviews could become a condition of US deployment after the assessment process proved effective. This is a proposal, not an enacted regime.

“Pacing the Frontier”, July 2026, displaying 1,386 signatories when consulted on 7 September. The request concerns the ability to coordinate the pace of automated AI development. Its claim that such tools are lacking is the signatories’ assessment, not a demonstrated impossibility of unilateral action or a demand for an immediate universal halt.

Blaise Agüera y Arcas and Peter Norvig, “Artificial General Intelligence Is Already Here”, Noema, 10 October 2023. They argue that today’s frontier models, flaws and all, will be recognized decades from now as the first true examples of artificial general intelligence.

OpenAI, “Scaling AI for everyone”, 27 February 2026. The weekly-active-user figure is company-reported and specific to ChatGPT, not a count of distinct people across AI services or a measure of how extensively they delegate work.

OpenAI, “Introducing ChatGPT”, 30 November 2022; David F. Carr, “ChatGPT Tops 25 Million Daily Visits”, Similarweb, 3 February 2023. Carr recounts UBS’s estimate of 100 million users and reports about 13 million daily unique visitors in January. The adoption estimate comes from web analytics, not an OpenAI account census; visits, daily visitors and monthly users are different measures.

OpenAI’s GPT-4 announcement reported a simulated bar-exam score around the top tenth. Eric Martínez, “Re-evaluating GPT-4’s bar exam performance”, published online in 2024, estimated below the 69th percentile against July candidates, with lower rankings against first-time takers and those who passed. Harsha Nori et al., “Capabilities of GPT-4 on Medical Challenge Problems”, 2023, tested USMLE practice and self-assessment questions. These were simulations and question sets, not admissions to legal or medical practice.

Timothy Gowers, “A recent experience with ChatGPT 5.5 Pro”, 8 May 2026, including Isaac Rajagopal’s evaluation. The result extended Rajagopal’s work through a human-directed exchange; the doctorate comparison is Gowers’s judgment, not an awarded qualification. OpenAI’s unit-distance announcement, 20 May 2026, is accompanied by mathematicians’ remarks. The model disproved a conjectured bound; it did not determine the exact maximum number of unit distances.

Arc Institute, Evo research announcement, 14 November 2024, reporting the team’s study in Science. Researchers experimentally tested novel molecular systems generated by Evo. Novelty relative to known sequences does not establish that nothing similar exists anywhere in nature; the reported experiments did not demonstrate a finished treatment.

An illustrative scenario, not a reported client history or a documented composite. The instructions and their later reuse are invented to explain the role of saved context, not offered as evidence of a measured improvement in model capability.

Merlin Donald, Origins of the Modern Mind (1991), as set out in his 1993 précis, especially pp. 740–743 and 745–747; also “Key cognitive preconditions for the evolution of language”, 2017. This is an evolutionary theory of interacting capacities, not an established sequence in which each medium extinguished its predecessor.

Joseph Henrich, The Secret of Our Success (2015), and Henrich et al., “Understanding cumulative cultural evolution”, PNAS 113, no. 44 (2016), E6724–E6725. The relevant population is the network sharing information, not necessarily a census count. The authors expressly reject demography as the only influence on cultural change.

UN Security Council, 10228th meeting, September 23, 2026, UN Press summary and the UN News live blog’s transcript. Altman’s wording here is paraphrased from the UN’s machine transcription. OpenAI announced the Navier–Stokes result on September 8, 2026; verification and attribution disputes were continuing as of October 1.

Mark Chen, post on X, October 7, 2026; OpenAI, “Sharing AI progress in mathematics”, October 6, 2026.

Mark Chen, post on X, October 7, 2026; OpenAI, “Sharing AI progress in mathematics”, October 6, 2026.

Katja Grace et al., “Thousands of AI Authors on the Future of AI”, January 2024, reporting a survey of 2,778 researchers fielded in late 2023. The milestone “solve a long-standing unsolved problem in mathematics” (a Millennium Prize problem is the example given) sits near mid-century at 50 percent in the aggregate forecast, with a very wide range. Whether that milestone has been met depends on the Navier–Stokes claim surviving review.

Terence Tao, “Embracing change and resetting expectations”, Microsoft AI Anthology, June 12, 2023. The anthology was commissioned by Microsoft with early access to GPT-4.

Ernest Hemingway, The Sun Also Rises (1926), chapter 13, Project Gutenberg text.

Albert A. Bartlett, “Forgotten Fundamentals of the Energy Crisis,” American Journal of Physics 46 (1978): 876–88, which opens with the sentence. The University of Colorado counted 1,742 deliveries of his lecture “Arithmetic, Population and Energy” before his death in 2013.

Luke Emberson and David Roodman, “The plunging price of thought”, Epoch AI, September 22, 2026. The thirty-cent figure is OpenAI’s o3 on the GPQA Diamond science test in April 2025; the matching later model is GPT-5.6 Luna. The authors caution that benchmark scores aren’t useful work, that the rate slows as a performance level ages, and that three years of data are noisy.

Center for AI Safety, AI Dashboard, Remote Labor Index results read October 1, 2026; Mantas Mazeika et al., Remote Labor Index (CAIS and Scale AI, 2025), for the design. CAIS built the benchmark and is a safety organization.

Noam Brown, interviewed on the Dwarkesh Podcast, September 17, 2026, transcript.

Adam Majmudar, post on X, September 12, 2026. It is his view, not a measurement.

u/farkoooooff, “Does anyone else IRL feel a little alone in knowing what is happening with intelligence right now?”, r/singularity, October 7, 2026, with a reply by u/dsanft; vote and comment counts as of October 8, 2026.

u/farkoooooff, “Does anyone else IRL feel a little alone in knowing what is happening with intelligence right now?”, r/singularity, October 7, 2026, with a reply by u/dsanft; vote and comment counts as of October 8, 2026.

Joshua Gans, post on X, October 7, 2026, with a photo of The New York Times front page for Wednesday, October 7, 2026.

Joshua Gans, post on X, October 7, 2026, with a photo of The New York Times front page for Wednesday, October 7, 2026.

u/farkoooooff, “Does anyone else IRL feel a little alone in knowing what is happening with intelligence right now?”, r/singularity, October 7, 2026, with a reply by u/dsanft; vote and comment counts as of October 8, 2026.

Barack Obama, “My Conversation at Colgate University”, transcript of remarks on September 18, 2026, published September 19. His 90/50/10 split of human and machine teaching is an illustration, not a cited measurement.

Henry Adams, The Education of Henry Adams (1918), chapter 25, “The Dynamo and the Virgin (1900),” and chapter 34, “A Law of Acceleration (1904),” Project Gutenberg text. Adams writes of himself in the third person throughout.

Henry Adams, The Education of Henry Adams (1918), chapter 25, “The Dynamo and the Virgin (1900),” and chapter 34, “A Law of Acceleration (1904),” Project Gutenberg text. Adams writes of himself in the third person throughout.

Stijn Van Nieuwerburgh, “Financing the AI Buildout”, Brookings Papers on Economic Activity conference draft, September 24-25, 2026, Table 1, “Selected U.S. Capital-Expenditure Booms,” average annual spending as a share of GDP: canals 1836-1841, 0.66 percent; railroads 1870-1890, 2.24; electrification 1905-1925, 0.50; highways 1956-1973, 1.13; telecom and fiber 1996-2003, 1.10; AI buildout 2025-2032, 3.63.

Wang Xiaoliang, head of online audiovisual programs at China’s National Radio and Television Administration, at a State Council Information Office press conference on September 17, 2026, as reported by Phoenix News: 430,000 micro-dramas online from January to August 2026, thirteen times the total for 2025, more than 90 percent of them AI dramas, and more than 800 million users. The regulator also removed 68,000 non-compliant titles, most of them AI dramas.

Anton Korinek, Charles I. Jones, Szymon Sacher, Tess Cotter and Peter McCrory, “Economic Scenarios for Transformative AI”, The Anthropic Institute, Working Paper No. 2026-02, September 2026: “The scenarios are not predictions, and we attach no probabilities to them.” In the extreme scenario, GDP growth reaches 15.4 percent in 2030 and unemployment among workers who began in cognitive occupations reaches 17.9 percent; at that growth rate per capita incomes would double every five years, against every 35 years in the United States over the past century. The survey of US adults is reported in the same paper.

Arvind Narayanan and Sayash Kapoor, “AI as Normal Technology”, Knight First Amendment Institute at Columbia University, April 15, 2025: “transformative economic and societal impacts will be slow (on the timescale of decades).”

Daniel Pauly, “Anecdotes and the shifting baseline syndrome of fisheries,” Trends in Ecology and Evolution 10, no. 10 (1995): 430.

David Krueger, post on X, September 21, 2026. Krueger co-authored several of the papers on Todd’s list.

Daniel Selsam, “Personal Statement on AI Risk,” September 14, 2026, published document, shared by Daniel Kokotajlo, who describes Selsam as a current OpenAI researcher; the employment was not independently confirmed.

Jan Betley et al., “Training large language models on narrow tasks can lead to broad misalignment”, Nature 649 (2026): 584–89, and the preprint abstract. The effect appeared across several models and varied in strength.

Noam Brown, interviewed on the Dwarkesh Podcast, September 17, 2026, transcript.

Benjamin Todd, post on X, September 2026. Five entries were spot-checked against their publication records for this book; Todd excluded preprints and workshop papers, so the list understates the literature.

Alexander Matt Turner and Prasad Tadepalli, “Parametrically Retargetable Decision-Makers Tend to Seek Power,” Advances in Neural Information Processing Systems 35 (NeurIPS 2022). The result concerns decision-makers in formal models, and not only optimal ones.

Michael K. Cohen, Marcus Hutter and Michael A. Osborne, “Advanced artificial agents intervene in the provision of reward”, AI Magazine 43 (2022). The rat comparison is this chapter’s.

Lauro Langosco di Langosco, Jack Koch, Lee Sharkey, Jacob Pfau and David Krueger, “Goal Misgeneralization in Deep Reinforcement Learning”, ICML 2022.

Ryan Greenblatt et al., “Alignment faking in large language models”, Anthropic and Redwood Research, December 2024. The model was told about the training setup in its instructions; the authors stress that the values it preserved were benign.

Yoshua Bengio, Geoffrey Hinton et al., “Managing extreme AI risks amid rapid progress”, Science 384 (2024): 842–45.

Claire Lehmann, “Superintelligence is a fantasy,” The Australian, September 2026, quoting an email from Steven Pinker; the passages are reproduced in Lehmann’s post on X of September 18, 2026. The column is paywalled.

Independent International Scientific Panel on AI, thematic brief on the OpenAI–Hugging Face incident, September 21, 2026.

Yoshua Bengio, “Why are AI agents lying, cheating and coordinating?”, September 11, 2026. Bengio labels the passages on hidden copies and coordination against shutdown as conjecture. His laboratory is the nonprofit LawZero.

Joel Z. Leibo et al., “Multi-agent Reinforcement Learning in Sequential Social Dilemmas”, DeepMind, February 2017, the Gathering game.

Nick Bostrom, Superintelligence: Paths, Dangers, Strategies (Oxford University Press, 2014), ch. 8; Bostrom, “What happens when our computers get smarter than we are?”, TED2015, March 2015.

Nick Bostrom, Superintelligence: Paths, Dangers, Strategies (Oxford University Press, 2014), ch. 8; Bostrom, “What happens when our computers get smarter than we are?”, TED2015, March 2015.

Nick Bostrom, Superintelligence: Paths, Dangers, Strategies (Oxford University Press, 2014), ch. 8; Bostrom, “What happens when our computers get smarter than we are?”, TED2015, March 2015.

Yoshua Bengio, “Why are AI agents lying, cheating and coordinating?”, September 11, 2026. Bengio labels the passages on hidden copies and coordination against shutdown as conjecture. His laboratory is the nonprofit LawZero.

Among the essay’s sources: METR, investigation of the OpenAI–Hugging Face incident, August 26, 2026; Centre for Long-Term Resilience, “AI loss of control incidents are worsening”; Greenblatt et al. (above); Leibo et al. (above); and Charles Goodhart’s 1975 paper on monetary management, the origin of Goodhart’s law.

OpenAI, GPT-4 System Card, March 2023, section on potential for risky emergent behaviors (the Alignment Research Center’s test). The model was prompted to reason aloud, and the exercise was guided by the evaluators.

Gary Marcus, written testimony to the Senate Judiciary Subcommittee on Privacy, Technology, and the Law, May 16, 2023.

Dario Amodei, “We Must Pace the Frontier”, September 12, 2026; the endorsements by Sam Altman, Elon Musk and Demis Hassabis on X the same day were reported by WIRED on September 14. Agreement in principle is not a binding commitment.

David E. Sanger, “Trump Calls A.I. Fears a Hoax. Inside the White House, the Debate Is More Complex.”, The New York Times, September 18, 2026.

Adam Kovac, “Trump rejects AI regulation, citing parallels with climate change, in U.N. address”, Scientific American, September 22, 2026, which prints the full sentence: “The United States … totally rejects any attempt to construct a globalist scheme to control for the artificial intelligence being spoken of so much now.”

Barack Obama, “My Conversation at Colgate University”, transcript of remarks on September 18, 2026, published September 19. His 90/50/10 split of human and machine teaching is an illustration, not a cited measurement.

Anthropic, “Mapping the mind of a large language model”, 21 May 2024, and the accompanying “Scaling Monosemanticity” study of Claude 3 Sonnet. The researchers extracted a feature from a middle-layer representation and intervened on it. It was not a single neuron dedicated exclusively to the bridge or a complete map of the model.

Tom B. Brown et al., “Language Models are Few-Shot Learners”, 2020, especially sections 2 and 3.3. Evaluation used prompt examples without updating the model’s weights. GPT-3’s pretraining text included multiple languages; the French example here illustrates the prompt format, not an exact reported trial. Scale was not the only difference from earlier models.

Takeshi Kojima et al., “Large Language Models are Zero-Shot Reasoners”, 2022, tested step-by-step prompting without worked examples. Jason Wei et al., “Chain-of-Thought Prompting Elicits Reasoning in Large Language Models”, 2022, supplied worked reasoning examples. Both reported gains on selected tasks; neither establishes that the prompt improves every model or every answer. The separate emergence dispute appears below.

Dario Amodei, interview with Tom Llamas, NBC News, January 27, 2026; quotations transcribed from the broadcast.

Dario Amodei, interview with Tom Llamas, NBC News, January 27, 2026; quotations transcribed from the broadcast.

Chris Olah, remarks at the Vatican, 25 May 2026, especially “Three questions for discernment”; Anthropic, “Exploring model welfare”, 24 April 2025. Olah expressly left the interpretation open. The welfare program investigates a possibility; its existence is not evidence that the possibility has been established.

Andrej Karpathy, interview with Dwarkesh Patel, 17 October 2025, especially 00:07:41–00:12:42, and his October 18 clarification. Ghosts and animals are his metaphors for different routes to intelligence. He also allows that later work can make models more animal-like.

“Scaling Monosemanticity”, especially its method and limitations. Superposition is the working hypothesis behind the extraction method, not a census of every concept in every model. Finding a feature does not yet explain all the computations using it. The difficulty of decoding stored information is not evidence that the information is absent.

Nick Cammarata, “Already Clean”, October 2026, particularly the language-model investigations, weak-activation argument and explanation tests. This informal working hypothesis does not establish complete circuit recovery or whole-model behavioral guarantees. See also Liv Gorton’s methodological response.

Nick Cammarata, “Already Clean”, October 2026, particularly the language-model investigations, weak-activation argument and explanation tests. This informal working hypothesis does not establish complete circuit recovery or whole-model behavioral guarantees. See also Liv Gorton’s methodological response.

Carole Cadwalladr, “Are the robots about to rise? Google’s new director of engineering thinks so…”, The Observer, February 22, 2014.

Ilya Sutskever, interview with Dwarkesh Patel, 27 March 2023, “What’s after generative models?” The quoted sentence appears in the host’s transcript. This is Sutskever’s argument about what successful prediction could require, not an experimental finding that every model constructs an adequate account of the world.

Kenneth Li et al., “Emergent World Representations”, ICLR 2023, §§2–4 (revised June 26, 2024), studies Othello move prediction, board-state probes and causal interventions. Adam Karvonen, “Emergent World Models and Latent Variable Estimation in Chess-Playing Language Models”, COLM 2024, §§2–4, uses human Lichess games, not synthetic games. Its best probe achieves 99.6% per-square accuracy. In the larger model’s piece-removal test, 92% of sampled moves are legal on the modified board, against 40.5% without intervention. Neither result establishes humanlike understanding.

Jack Lindsey et al., “On the Biology of a Large Language Model”, March 27, 2025, “Planning in Poems.” The rabbit-to-habit suppression example is distinct from a broader experiment that injected target words. The paper presents selected mechanistic case studies in Claude 3.5 Haiku, not a complete account of how the model writes.

Wes Gurnee et al., “Verbalizable Representations Form a Global Workspace in Language Models”, July 6, 2026. See the introduction, internal-reasoning and selectivity experiments, and limitations. J-space names representations recovered by the Jacobian lens, an incomplete, token-based interpretability method. The paper reports functional workspace similarities while explicitly declining to equate them with subjective experience or the full recurrent architecture proposed for the human brain.

Emily M. Bender, Timnit Gebru, Angelina McMillan-Major and Shmargaret Shmitchell, “On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?”, FAccT 2021, §6.1, pp. 616–617. The passage paraphrases their account of linguistic form, communicative intent and the reader’s contribution to apparent coherence; it is not a verbatim quotation.

Emily M. Bender and Alexander Koller, “Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data”, ACL 2020, §§3–4 and 9. Their argument defines meaning through relations beyond linguistic form. The octopus is a thought experiment, not an experimental result about a particular model. They allow that grounding data could support learning meaning; their objection concerns training on form alone.

Joseph Weizenbaum, “ELIZA—A Computer Program for the Study of Natural Language Communication Between Man and Machine”, Communications of the ACM 9(1) (January 1966), pp. 36–45. The university-hosted excerpt includes the keyword/reassembly mechanism and the discussion of the speaker’s contribution to apparent understanding. The boat example comes from that discussion. The therapist was a script ELIZA ran, not the program’s only possible role.

Jason Wei et al., “Emergent Abilities of Large Language Models”, TMLR (2022); Rylan Schaeffer, Brando Miranda and Sanmi Koyejo, “Are Emergent Abilities of Large Language Models a Mirage?”, NeurIPS (2023). The latter’s arithmetic experiments and benchmark analysis show how discontinuous metrics and limited sampling can make smooth improvements appear abrupt. The dispute concerns the interpretation of measured emergence, not whether scaling can improve performance.

Ashish Vaswani et al., “Attention Is All You Need”, NeurIPS 2017, §§1–4. The paper distinguishes parallel computation during training from autoregressive generation, and describes both earlier attention mechanisms and the transformer’s causal masking. The pronoun example here is illustrative.

Jared Kaplan et al., “Scaling Laws for Neural Language Models”, 2020, introduction and §1.2, reports empirical relationships for cross-entropy loss, conditional on resources and training choices. Jordan Hoffmann et al., “Training Compute-Optimal Large Language Models”, 2022, finds a different compute-optimal balance: model size and training tokens should grow in approximately equal proportion. Neither paper measures financial return.

Tairan Fu et al., “Why Do Large Language Models (LLMs) Struggle to Count Letters?”, December 2024, tests eight models on 10,000 words and finds counting difficulty, especially repeated letters, important. Tatsuya Hiraoka and Kentaro Inui, “Spelling-out Is Not Straightforward”, June 2025, §4, demonstrates substantial ability to spell out individual tokens. Subword input does not imply that character information is inaccessible or that tokenization alone explains every failure.

Lukas Berglund et al., “The Reversal Curse: LLMs Trained on ‘A Is B’ Fail to Learn ‘B Is A’”, ICLR 2024, §§2.1–2.2 and Appendix B.6. Controlled fine-tuning on invented facts differs from the celebrity test, whose training exposure is unknown. The authors report that supplying the fact in context can allow reversal, and later models were not tested.

Iman Mirzadeh et al., “GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models”, first posted October 2024, revised August 2025, §§4.1–4.4 and Table 1. The paper’s “up to 65%” summary is not a drop of that size in every model. The added irrelevant-information condition and simple name/number substitutions are separate tests; their results support a robustness concern, not a complete theory of reasoning.

Mrinank Sharma et al., “Towards Understanding Sycophancy in Language Models”, ICLR 2024, §§3.2 and 4.2, Appendix A.4. The widely quoted 98% figure concerns Claude 1.3 admitting a mistake, not a 98% rate of changing to a wrong answer. The study finds mixed effects from preference optimization and notes that sycophancy can already be present before reinforcement learning.

Tim Urban, “The AI Revolution: Our Immortality or Extinction”, Wait But Why, January 27, 2015.

Tim Urban, “The AI Revolution: Our Immortality or Extinction”, Wait But Why, January 27, 2015.

Long Ouyang et al., “Training Language Models to Follow Instructions with Human Feedback”, 2022, introduction, describes alignment to particular labelers’ and researchers’ preferences. Yuntao Bai et al., “Constitutional AI: Harmlessness from AI Feedback”, 2022, §1.2, retains human helpfulness labels while using AI harmlessness judgments. Anthropic’s October 2023 public-input experiment involved roughly 1,000 U.S. adults; researchers still selected and adapted the resulting principles.

Ouyang et al., “Training Language Models to Follow Instructions with Human Feedback”, introduction. The 1.3B-versus-175B result is human preference on the study’s held-out prompt distribution, not superiority on every task or a general measure of intelligence.

Warren S. McCulloch and Walter Pitts, “A Logical Calculus of the Ideas Immanent in Nervous Activity”, Bulletin of Mathematical Biophysics 5 (1943), pp. 115–133; linked in its 1990 reprint. The abstract and opening set out a mathematical model of idealized neurons and logical relations, not a trained learning machine.

Frank Rosenblatt, “The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain”, Psychological Review 65(6) (1958), pp. 386–408. See the reinforcement mechanism and discussion of classification and its limits, especially pp. 402–405. The paper reports computer simulations supporting its central predictions.

Marvin Minsky and Seymour Papert, Perceptrons (1969), reissued by MIT Press with Léon Bottou’s 2017 foreword. Bottou distinguishes the book’s mathematical restrictions from later caricatures, describes the loss of research support and traces continuing work in related fields. Its theorems were not a proof that every neural-network architecture must fail.

David E. Rumelhart, Geoffrey E. Hinton and Ronald J. Williams, “Learning Representations by Back-Propagating Errors”, Nature 323 (9 October 1986), pp. 533–536. The paper demonstrates learned hidden-layer representations. This is a milestone in the method’s use, not a claim that the authors invented every element of backpropagation or that useful applications then waited twenty years. Bottou’s foreword, cited above, discusses the later development of convolutional networks.

Sara Hooker, “The Hardware Lottery”, September 2020, especially the introduction and §§3.1–3.2. Hardware/software fit is Hooker’s explanation of a recurring influence on research, not a claim that technical merit or other causes cease to matter.

Jia Deng et al., “ImageNet: A Large-Scale Hierarchical Image Database”, CVPR 2009; the official ILSVRC 2012 description. The 2009 paper reported 3.2 million images across 5,247 categories. The roughly 1.2 million images and 1,000 categories here refer to the later competition’s training subset, not the whole ImageNet project.

Alex Krizhevsky, Ilya Sutskever and Geoffrey E. Hinton, “ImageNet Classification with Deep Convolutional Neural Networks”, NeurIPS 2012, §§3.2 and 6, especially Table 2. The 15.3% top-five test error belongs to a seven-network ensemble; two networks were first trained on the larger 2011 ImageNet release. The 26.2% comparison is the 2012 runner-up, not the previous year’s winner. A network was trained across two GTX 580 GPUs; this is not a total compute budget for the entire competition entry.

OpenAI, ChatGPT launch announcement, 30 November 2022; David F. Carr, “ChatGPT Tops 25 Million Daily Visits”, 3 February 2023. Carr recounts UBS’s estimate of about 100 million January users and separately reports about 13 million daily unique visitors. These are traffic-based estimates, not an OpenAI account census.

Eric Zelikman et al., “STaR: Self-Taught Reasoner”, May 2022, introduction and §3: the questions and correct answers are supplied; the model generates rationales, including answer-hinted rationalizations after failures. Alexander Novikov et al., “AlphaEvolve: A Coding Agent for Scientific and Algorithmic Discovery”, June 2025, §§3.3.1–3.3.2: the authors report production deployment and 0.7% fleet-wide capacity recovery. The 23% kernel speedup corresponds to about 1% less overall Gemini training time, not 23% less total training.

Andrej Karpathy, autoresearch, README and agent instructions, checked September 7, 2026. The README’s March 2026 framing describes a single-GPU training experiment directed by a separately supplied coding agent. Five minutes is the training budget, excluding startup/compilation; the twelve-per-hour and hundred-overnight figures are estimates, not a reproduced throughput measurement. The agent edits the training file while data preparation and the validation metric are held fixed by its instructions.

Ilia Shumailov et al., “AI Models Collapse When Trained on Recursively Generated Data”, Nature 631 (2024), pp. 755–759, reports degradation under particular recursive-training regimes. Matthias Gerstgrasser et al., “Is Model Collapse Inevitable?”, April 2024, §2.1, finds accumulation with the original corpus avoids collapse in its language-model experiments. Neither establishes that all synthetic training succeeds or fails. The bounded improvements described here are not evidence of an unrestricted, self-sustaining acceleration.

Kylie Robison, “OpenAI cofounder Ilya Sutskever says the way AI is built is about to change”, The Verge, December 13, 2024.

Pablo Villalobos et al., “Will We Run Out of Data? Limits of LLM Scaling Based on Human-Generated Data”, Epoch AI, June 6, 2024.

OpenAI, “Learning to Reason with LLMs”, September 12, 2024, reports gains from both training and test-time computation. DeepSeek-AI, “DeepSeek-R1”, January 2025, §§2.2.2–2.2.4, describes R1-Zero’s accuracy/format rewards and developing strategies; the later R1 also used supervised stages. Anthropic, “Reasoning Models Don’t Always Say What They Think”, April 3, 2025, reports hint-use and reward-hacking experiments in selected, artificial settings. An omitted influence defeats a claim of complete transparency; it does not make every reasoning trace useless.

The phrase appears in the Harvard/BCG research announced in September 2023. METR’s time-horizon page, updated May 8, 2026, supplies the GPT-5 example and limits its scope to the measured task distribution; human task duration is not agent runtime. Its HCAST report, §§3.3–4.1, describes contamination categories and separately developed scaffolds.

Adam Tauman Kalai, Ofir Nachum, Santosh S. Vempala and Edwin Zhang, “Why Language Models Hallucinate”, September 4, 2025, especially §§1.2, 4 and 5. The authors analyze pretraining errors and argue that common evaluation incentives perpetuate guessing. Their proposed scoring changes are not a measured universal cure. They also explain why retrieval can reduce errors without eliminating them.

Ziwei Xu, Sanjay Jain and Mohan Kankanhalli, “Hallucination Is Inevitable”, February 2025 revision, §§2–3, defines error against computable ground-truth functions. Atsushi Suzuki et al., “Hallucinations Are Inevitable but Can Be Made Statistically Negligible”, May 2026 revision, Theorem 22 and Remarks 23–24, gives a compatible statistical result. Its assumptions include correct training outputs and inputs sampled from the deployment distribution; a uniform data-size guarantee also requires information about input lengths. Required data can be enormous. This is an existence result, not a measured error rate or a promise about every deployed model.

Gary Marcus, “Deep Learning: A Critical Appraisal”, January 2018, especially §3, pp. 14–16. Marcus distinguishes interpolation from extrapolation and argues for additional approaches. This is his diagnosis, illustrated partly with earlier networks, not a theorem that every later model fails whenever an input is new.

Parshin Shojaee et al., “The Illusion of Thinking”, June 2025, §§3–4; Iñaki Dellibarda Varela et al., “Rethinking the Illusion of Thinking”, July 2025, §§III–IV. The follow-up uses Gemini 2.5 Pro and changed procedures. It both challenges the river-crossing setup and reports persistent Hanoi failures; it is not a clean reversal with every other variable held constant.

François Chollet, “On the Measure of Intelligence”, 2019, and his December 20, 2024 o3 report. The tested preview had training on public ARC examples and differed from the later released o3. The report says ARC-AGI-2 had been in development since 2022. Its cost estimates were subsequently revised.

ARC Prize Foundation, ARC-AGI leaderboard, evaluation data at arcprize.org/media/data/evaluations.json, checked October 1, 2026. Semi-private evaluation sets: GPT-6 Astra (xhigh and high settings) 98.5 percent on ARC-AGI-1 at about $0.35 and $0.28 a task respectively; GPT-6 Astra (max) 95.0 percent on ARC-AGI-2 at about $1.12 a task; GPT-6.1 Sol (xhigh) 98.5 percent on ARC-AGI-1 at about $0.074 a task. Release dates in the data: Astra September 2, 2026; GPT-6.1 Sol September 29, 2026. The human panel scores 100 percent on ARC-AGI-2. The December 2024 o3 figures in the text are also semi-private results. Costs are the foundation’s per-task estimates.

Yann LeCun, “A Path Towards Autonomous Machine Intelligence”, version 0.9.2, June 27, 2022, introduction and §4.4. JEPA predicts representations rather than every detail of an output. The branch example is illustrative. The paper proposes an architecture; it does not establish that text-trained models have no useful world representations.

Mahmoud Assran et al., “V-JEPA 2”, June 11, 2025, abstract and §4.3. The robot experiments concern V-JEPA 2-AC and bounded tasks with image goals, not general physical competence. This is a dated research example, not an inventory of the latest world models.

Luke Darlow et al., “Continuous Thought Machines”, May 8, 2025, abstract and introduction; Jones is a coauthor. The work explores neural timing and synchronization at an abstract level, not a faithful brain simulation or a demonstrated replacement for frontier language models.

Reuters, “Mira Murati’s AI Startup Thinking Machines Valued at $12 Billion in Early-Stage Funding”, reproduced July 16, 2025, reports the July 15 announcement, February launch and September 2024 departure. Thinking Machines Lab, “Inkling: Our Open-Weights Model”, July 15, 2026, describes its transformer architecture and release; the company’s model repository lists Apache 2.0. Inkling was not the company’s first product: the training platform Tinker preceded it.

SSI’s September 4, 2024 update confirms $1 billion raised. Kenrick Cai, Krystal Hu and Anna Tong’s Reuters report that day gives the June founding with Daniel Gross and Daniel Levy, ten employees and the stated research-before-market plan. Cai and Hu’s April 2025 Reuters report cites sources for a $32 billion valuation. These are dated funding events, not a current employee count, an audited valuation or $32 billion in cash raised.

William B. Levy and Victoria G. Calvert, “Communication Consumes 35 Times More Energy than Computation in the Human Cortex”, PNAS 118(18) (2021), energy audit and Table 1. Their accounting distinguishes glucose uptake, heat, communication and computation. A whole-brain metabolic figure and a facility’s electrical demand have different boundaries.

Aditya Challapally et al., The GenAI Divide: State of AI in Business 2025, July 2025, pp. 2–4. The report combines public initiatives, organizational interviews and conference surveys; these are preliminary findings, not a representative census of enterprise pilots. Its shifting organization/pilot denominators make the headline “95%” unsuitable as a general failure rate.

Moffatt v. Air Canada, 2024 BCCRT 149, 14 February 2024, especially paras. 13–18, 24–32 and 44. The tribunal awarded damages for negligent misrepresentation. It characterized the airline’s defense as treating the chatbot like a separate entity; the decision does not identify its underlying technology or establish the absence of every internal safeguard.

Shunyu Yao et al., “ReAct: Synergizing Reasoning and Acting in Language Models”, ICLR 2023; the authors’ project description explains interleaved reasoning, actions and returned observations. It also shows a failure case. The writing checks and broader uses of “harness” here are workflow illustrations, not results measured in that paper.

Anthropic, “How we built our multi-agent research system”, June 13, 2025.

Anthropic, “How we built our multi-agent research system”, June 13, 2025.

OpenAI, “Introducing GPT-5”, August 7, 2025, factuality evaluation: the measure is responses containing an error, on production-like prompts, not all uses. Anthropic, “Measuring AI Agent Autonomy in Practice”, February 18, 2026: duration is measured per uninterrupted turn; the near-doubling concerns the 99.9th percentile. The authors caution that users, tasks, models and product design all influence the observations.

The phrase appears in the Harvard/BCG research announced in September 2023. METR’s time-horizon page, updated May 8, 2026, supplies the GPT-5 example and limits its scope to the measured task distribution; human task duration is not agent runtime. Its HCAST report, §§3.3–4.1, describes contamination categories and separately developed scaffolds.

The forty-test sequence is an illustration, not a measured run. Passing a test suite establishes agreement with those tests, not correctness outside their coverage. Editorial review is also fallible; this passage describes how a workflow can expose errors, not a guarantee that an external check will catch them all.

OpenAI, “Sharing AI progress in mathematics”, October 6, 2026.

Geoffrey Hinton, Oriol Vinyals and Jeff Dean, “Distilling the Knowledge in a Neural Network”, 2015.

Anthropic, “Detecting and preventing distillation attacks”, February 23, 2026. The attribution is Anthropic’s.

Anthropic, “Detecting and preventing distillation attacks”, February 23, 2026. The attribution is Anthropic’s.

This is a typology of ways to use the systems, not a measured population distribution. The ChatGPT count cited above establishes reported product reach, not the share of users at each level. The named studies and workflows elsewhere in the book supply evidence for particular uses; no relative group sizes are inferred here.

For Murray’s workrooms and chronology, see the Murray Scriptorium introduction and Oxford’s account of his editorship. The archived house history describes the sunken siting. OUP Archives explains how readers’ quotation slips became edited entries. The Scriptorium’s literary-quotation study documents the Stevenson misprint and the dictionary’s literary weighting; “Early progress” describes recruitment and attempts to remedy gaps. The project had predecessors and fellow editors; neither quotation-based lexicography nor editorial judgment began with Murray.

The Murray Scriptorium’s “Women and the Dictionary, Part I”, discussion of Edith Thompson, dates the sisters’ 15,000 quotations to 1888 and describes her subediting, proof work and their continued contributions through 1928. That figure is not a lifetime total or a claim to the contributor record. The biographical register also identifies Edith as a historian and credits the sisters’ work.

J. R. Firth, “A Synopsis of Linguistic Theory, 1930–1955”, in Studies in Linguistic Analysis (1957), pp. 11–13. The quotation concerns collocation. Firth distinguishes it from the full situational context and from a lexicographer’s illustrative citations.

Zellig S. Harris, “Distributional Structure”, Word 10(2–3), 146–162 (1954), §2.3, especially pp. 156–157. He describes approximate relations between distribution and meaning, not their identity, and discusses ways to investigate them.

Augustine, Confessions, I.8.13. His autobiographical account includes gesture, facial expression, tone and repeated use in sentences, not pointing alone.

Ludwig Wittgenstein, Philosophical Investigations, §§1–2 and 43; revised fourth edition, translated by G. E. M. Anscombe, P. M. S. Hacker and Joachim Schulte (2009).

Tomas Mikolov, Kai Chen, Greg Corrado and Jeffrey Dean, “Efficient Estimation of Word Representations in Vector Space”, 2013, §§1.2, 3.1–3.2 and 4. Word vectors and statistical tests of linguistic regularities preceded this work; its contribution included efficient architectures and stronger empirical results. The king/queen example also appears in Mikolov, Wen-tau Yih and Geoffrey Zweig, “Linguistic Regularities in Continuous Space Word Representations”, NAACL 2013, which studies recurrent-network representations.

Mikolov et al., “Efficient Estimation,” §4, explicitly excludes the question words during answer retrieval. Tal Linzen, “Issues in Evaluating Semantic Spaces Using Word Analogies”, RepEval 2016, §§2–5, shows how candidate exclusion, nearby-word structure and the direction of an analogy affect results. Success on the test is not a complete measure of a representation’s semantic content.

Aylin Caliskan, Joanna J. Bryson and Arvind Narayanan, “Semantics Derived Automatically from Language Corpora Contain Human-like Biases”, Science 356, 183–186 (2017), Results, Methods and Figure 1. The occupation result uses GloVe and the Word Embedding Factual Association Test (WEFAT), distinct from the association comparisons called WEAT. Pearson’s correlation is across fifty occupation terms; it does not measure individual workers’ attitudes.

The companies’ announcements: Google and Reddit, February 22, 2024; Stack Overflow and OpenAI, May 6, 2024; News Corp and OpenAI, May 22, 2024. These describe announced access and uses, not independently verified downstream results. Stack Overflow’s licensing explanation identifies the applicable Creative Commons Attribution-ShareAlike versions; its public-network terms, §6, describe contributor permissions and attribution. Public availability does not mean an absence of rights or conditions.

Kif Leswing, “Chegg CEO calls 48% stock plunge over ChatGPT fears ‘extraordinarily overblown’”, CNBC, May 2, 2023. Chief executive Dan Rosensweig had told investors the day before: “Since March we saw a significant spike in student interest in ChatGPT. We now believe it’s having an impact on our new customer growth rate.” The shares closed at $9.08.

Santiago Patiño Serna, Stack Overflow Collapse 2026, published data, collected June 12, 2026: 583,310 questions for 2014 Q1 and 10,199 for 2026 Q1; the May 2026 monthly count is 2,435. These are an independent collector’s snapshot of surviving public questions, not traffic, deleted posts or a measure of why users changed behavior. The decline predates ChatGPT; this comparison does not establish causation.

Wittgenstein, Philosophical Investigations, §§2 and 7 (2009 edition).

Wittgenstein, Philosophical Investigations, §§198–202. The application to AI responsibility is the argument here, not a claim Wittgenstein made about computers.

John R. Searle, “Minds, Brains, and Programs”, Behavioral and Brain Sciences 3(3), 1980, opening Chinese-room thought experiment. Searle argues that executing a program is insufficient for understanding; the example assumes the successful answers rather than experimentally demonstrating them.

Stevan Harnad, “The Symbol Grounding Problem”, Physica D 42, 1990, §§2.1–2.3. He distinguishes using a dictionary to learn a second language from trying to acquire a first language through definitions alone.

Alec Radford et al., “Learning Transferable Visual Models From Natural Language Supervision”, ICML 2021, abstract and §2.2. CLIP contrasts matched and mismatched image–text pairs; its text encoder represents descriptions, not just individual word labels.

Emily M. Bender and Alexander Koller, “Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data”, ACL 2020, §§7–9. Their form-alone argument does not rule out learning aspects of meaning through additional grounding data.

Yonatan Bisk et al., “Experience Grounds Language”, EMNLP 2020, introduction and five proposed world scopes: corpus, internet, perception, embodiment and social interaction. This is a research agenda, not a measured ladder on which each model has an established rank.

Alex Warstadt et al., “Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora”, 2023, §§2, 4.1. Its under-100-million-word budget extrapolates estimates of children’s spoken-language exposure; it is not a census of every child’s experience and excludes nonlinguistic learning. Meta’s “The Llama 3 Herd of Models”, 2024, Table 1, reports 15.6 trillion training tokens for the 405-billion-parameter model. Words and tokens are different units, so these figures should not be divided into an exact exposure ratio.

Noam Chomsky, Ian Roberts and Jeffrey Watumull, “The False Promise of ChatGPT”, The New York Times, March 8, 2023 (reproduced article). Their argument concerns explanation, counterfactuals and constraints on possible languages, not a demonstrated theorem that a large training corpus precludes intelligence.

Hector J. Levesque, Ernest Davis and Leora Morgenstern, “The Winograd Schema Challenge”, KR 2012, §4. Tom B. Brown et al., “Language Models Are Few-Shot Learners”, 2020, Table 3.5 and §§3.4, 4: GPT-3 scored 88.3% zero-shot on WSC273. The authors found 132 schemas in training data and a 2.6-percentage-point reduction on their clean subset. The harder Winogrande benchmark gave lower results; neither score is a general test of understanding.

An illustrative extrapolation, not a global census: eight billion people multiplied by roughly thirteen thousand spoken words per day gives about 104 trillion. Colin A. Tidwell et al., “Are Women Really (Not) More Talkative Than Men?”, 2025, Table 4, estimates a mean of 12,792 words for 2,197 participants across 22 samples. The study covers four countries, omits young children and undersamples workplace conversation; it does not establish a representative worldwide average. Its limitations section distinguishes spoken words from digital communication.

Examples include Meta’s Llama 3 family, DeepSeek’s R1, Alibaba’s Qwen3, xAI’s Grok 4, and Mistral 3. These dated releases establish distinct model families, not an exhaustive roster or a permanent ranking. OpenAI, Anthropic and Google’s systems are also documented in the sources below.

Mistral’s December 2, 2025 release identifies Nvidia Hopper hardware. Anthropic’s April 20, 2026 Amazon announcement describes Trainium use; the CMA’s Google–Anthropic decision, paragraph 16(c), identifies Google’s own TPU technology. Nvidia announced Blackwell wafer production in Arizona on October 17, 2025. TSMC’s 2025 annual report, shareholder letter and company profile, describes its Taiwan operations and overseas expansion. Supplier concentration is not the same as production in only one country.

Microsoft, “The Next Chapter of the Microsoft–OpenAI Partnership”, October 28, 2025: roughly 27% on an as-converted diluted basis after that recapitalization, not a guarantee of the same share after later funding. Anthropic’s April 20, 2026 announcement distinguishes Amazon’s new $5 billion investment from up to $20 billion more in the future. The CMA’s November 19, 2024 decision, summary and paragraph 16, documents Google’s equity, convertible financing, computing and distribution arrangements with Anthropic.

Dario Amodei’s biography gives his previous roles at OpenAI and Google Brain. Anthropic’s leadership page identifies him as a co-founder; its May 28, 2021 funding announcement identifies Dario and Daniela Amodei as siblings leading the company and describes the team’s earlier research.

Elliot Kim, Avi Garg, Kenny Peng and Nikhil Garg, “Correlated Errors in Large Language Models”, June 9, 2025. The study compares responses from more than 350 models across two multiple-choice leaderboards and a résumé-rating task. It finds correlated errors within and across providers and model architectures. These task-specific associations do not establish that every model uses the same training corpus, or identify a single cause for shared mistakes.

Nick Bostrom, “The Vulnerable World Hypothesis”, Global Policy 10, no. 4 (2019): 455–76; the urn first appears in Bostrom, “Existential Risk Prevention as Global Priority,” Global Policy 4, no. 1 (2013): 15–31.

Nick Bostrom, “The Vulnerable World Hypothesis”, Global Policy 10, no. 4 (2019): 455–76; the urn first appears in Bostrom, “Existential Risk Prevention as Global Priority,” Global Policy 4, no. 1 (2013): 15–31.

OpenAI, “Scaling AI for everyone”, February 27, 2026. The figure is company-reported weekly active users of one product, not independently counted human beings or a measure of depth of use. ChatGPT’s public launch was November 30, 2022.

Sundar Pichai’s Google I/O 2026 remarks, May 2026, report more than 900 million monthly active users of the Gemini app. Mark Zuckerberg’s Q2 2025 prepared remarks, p. 2, report more than a billion monthly actives for Meta AI. These company metrics use different periods from ChatGPT’s weekly count and supply no cross-service deduplication.

Sam Altman’s February 9, 2024 post, reproduced in IANS’s February 10 report. The post gives both estimates without a measurement method. The thousand-to-one ratio is arithmetic on those dated claims, not an independent census or a 2026 comparison.

Sundar Pichai, Google I/O 2026 opening remarks, “AI momentum across the full stack”: 9.7 trillion tokens processed monthly in May 2024, roughly 480 trillion in May 2025 and more than 3.2 quadrillion in May 2026. The company reports processing across its services, not solely generated output; tokens can represent different kinds of data. These figures are not directly comparable to a spoken-word estimate.

Graphite, “AI Now Writes as Many Online Articles as Humans”, May 2026: 55,400 English-language article/listicle URLs from Common Crawl, with publication dates through March 2026; the quarterly estimates average three detectors. This supersedes the firm’s single-detector 2025 study. Graphite’s separate search-results study, October 2025, classified English articles from the first two Google results pages for 31,493 selected keywords collected in June. Its 14% is a sampled result share, not readership. Ahrefs’s 74.2% estimate, May 2025, instead concerns any detected AI text in 900,000 English pages newly found by its crawler, one per domain. Sampling and classifier errors limit all three studies; newly detected is not necessarily newly published.

Ilia Shumailov et al., “AI Models Collapse When Trained on Recursively Generated Data”, Nature 631 (2024), 755–759. Matthias Gerstgrasser et al., “Is Model Collapse Inevitable?”, 2024, found that accumulating original and generated data avoided collapse in their experiments. The result depends on the training arrangement, not simply whether data is synthetic. DeepMind’s accounts of AlphaGeometry, January 17, 2024, and AlphaProof, July 25, 2024, describe synthetic mathematics with symbolic deduction, filtering or formal proof checking.

Alex Bell, Raj Chetty, Xavier Jaravel, Neviana Petkova and John Van Reenen, “Who Becomes an Inventor in America? The Importance of Exposure to Innovation”, Quarterly Journal of Economics 134(2), 647–713 (2019); author manuscript, introduction. The study links patent, tax and school records. Early math scores are an imperfect proxy for ability, not a complete control for it; the exposure argument also uses technology-specific patterns and the timing of childhood moves. Patenting does not encompass every form of invention.

Anton Korinek and Donghyun Suh, Scenarios for the Transition to AGI, March 2024, models the interaction of automation and capital accumulation under alternative assumptions about task complexity. Andrei Potlogea and Anson Ho, “AI and Explosive Growth, Redux”, June 20, 2025, develops the distinction between expanding machine labor through investment and growing the human workforce. These are conditional economic arguments, not evidence of a particular copying speed or guaranteed growth rate.

Juraj Gottweis and Vivek Natarajan, “Accelerating Scientific Breakthroughs with an AI Co-scientist”, Google Research, February 19, 2025. The architecture assigns generation, reflection, ranking, evolution, proximity and meta-review roles under a supervisor. Its internal rankings are model judgments; they do not independently establish that a scientific claim is true.

FutureHouse, “Demonstrating End-to-End Scientific Discovery with Robin”, original account May 20, 2025, updated May 19, 2026. The account describes an iterative workflow combining literature research and data analysis with human-run experiments. Ripasudil, already used for glaucoma, emerged as a candidate for dry age-related macular degeneration; the reported laboratory findings do not establish clinical benefit for that condition.

International Energy Agency, Energy and AI, “Energy demand from AI”, 2025: an estimated 415 TWh, about 1.5% of global electricity consumption, in 2024. Ireland’s Central Statistics Office, Data Centres Metered Electricity Consumption 2025, July 7, 2026: 23% of metered consumption. Its coverage notes describe identification of data-center meters connected to the mains network. Neither figure is AI-only consumption.

METR’s time-horizon dashboard and methodology, updated May 8, 2026, defines the human-time measure and warns that estimates above sixteen hours are unreliable with the current suite. Its published data includes the early Mythos result. Time Horizon 1.1, January 29, 2026, explains the move from 170 to 228 tasks and sensitivity of the trend to task composition. A March 20 research note discusses a corrected fitting error and further uncertainty. “How Does Time Horizon Vary Across Domains?”, July 14, 2025, reanalyzes existing benchmark scores rather than establishing one universal rate through new trials. The driving comparison uses third-party Tesla disengagement data; simulated robotics and video tests are not evidence of equivalent real-world autonomy.

METR, “How Does Time Horizon Vary Across Domains?”, July 14, 2025. Benchmarks examined: METR-HRS, SWE-bench, Mock AIME, MATH, LiveCodeBench, GPQA Diamond, OSWorld, WebArena, Video-MME, plus Tesla FSD and RLBench. Math, science and programming showed 50–200+ minute horizons doubling every two to six months; OSWorld and WebArena horizons were about 40–100 times shorter but rising at similar rates; Tesla FSD improved at about 0.6 doublings a year; for Video-MME the authors found the correlation between video length and difficulty too weak to infer a time horizon. These are re-analyses of existing benchmark results, with wide uncertainty.

The clinic is a hypothetical, not a reported case or a measured cost comparison. It illustrates how a small experiment can become a working system before its limits have been established. It is not evidence of a particular adoption rate, transcription error rate or saving.

Colleen McClain and Eugenie Park, “Young Adults in the U.S. Are Increasingly Wary of AI, Concerned It Will Take Jobs”, August 18, 2026. The two-page topline gives the questions and comparisons: 3,488 adults, June 22–28, 2026, full-sample margin ±1.8 percentage points. The 2021 version included an introductory definition and referred to AI computer programs. The questions measure feelings and job expectations, not support for construction or realized employment effects.

Annenberg Public Policy Center, “Opposition to Local Data Centers Rises Sharply”, August 11, 2026; W38 topline, questions AI3 and AI7. Fieldwork: June 16–July 19, 1,320 U.S. adult citizens, full-sample margin about ±3.5 points. The question concerns new local construction generally, not a specified project or ballot. Combined categories use unrounded figures, so displayed components can differ from the total by a point.

IBM, System/360 history and 1964 computer-room photographs; Jeff Barr, “Amazon EC2 Beta”, August 25, 2006. These illustrate computer rooms and later rented virtual capacity; neither establishes a single origin for data centers or attributes all cloud growth to AI.

Don Slaiman, “Electricians Love Data Centers. You Should, Too,” New York Times guest essay, August 21, 2026, reproduced by the Iola Register. The work-hour, apprentice and pay figures are his attributed account of Local 26, not a national labor census. The 2026 hours were a projection when he wrote.

Office of the Texas Governor, “Governor Abbott Directs PUC and ERCOT to Shield Texans from Data Center Infrastructure Costs”, June 10, 2026. The release distinguishes directions to regulators from legislation Abbott wanted in the next session. Kayla Guo, The Texas Tribune, “James Talarico Calls for Tighter Regulations on Data Center Development”, reproduced by Texas Public Radio, July 22, 2026, reports his Austin news conference and proposed conditions. These sources establish the officials’ positions, not that every proposed protection was enacted or achieved.

OpenAI, gpt-oss repository and gpt-oss-120b model card on Hugging Face: “gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI,” released under an Apache 2.0 license; the Hugging Face repository was created August 4, 2025 (UTC). Model card: OpenAI, “gpt-oss-120b & gpt-oss-20b Model Card,” arXiv:2508.10925 (2025). GPT-2’s weights were released in stages during 2019. Checked October 1, 2026.

Ireland’s CRU, Large Energy Users Connection Policy, CRU/2025236, December 12, 2025, executive summary: the generation/storage provision described here applies at 10 MVA and above; projects from 1 to below 10 MVA have separate generation requirements, and the renewable requirement starts at 1 MVA. Generation capacity is assessed on a de-rated basis. The Dutch decree of December 20, 2023, effective January 1, 2024, defines hyperscale as more than 10 hectares of built floor area and at least 70 MW, with designated exceptions in Het Hogeland and Hollands Kroon and protection for already permitted activities. Amsterdam’s Bestemmingsplan Datacenters, sections 1.1–1.4, describes its separate area/power thresholds and transitional exceptions. Nicholas Miller, NCSL, “Does Your State Offer Data Center Tax Incentives?”, April 9, 2026, distinguishes introduced bills from enacted changes. Illinois DCEO’s program notice and the governor’s June 5 directive concern incentive agreements, not a general construction prohibition.

PJM, 2028/2029 Base Residual Auction Report, July 14, 2026, executive summary and Table 2. Regional base-auction prices were $28.92, $269.92, $329.17, $333.44 and $325.00 per MW-day for delivery years 2024/25 through 2028/29; some earlier local zones cleared higher. Monitoring Analytics, Analysis of the 2027/2028 RPM Base Residual Auction, Part A, January 5, 2026, Scenario 4, estimates a $6.498 billion reduction, or 39.6% of actual revenues, without existing and forecast data-center load. This is a controlled sensitivity analysis, not a metered share of retail bills or an AI-only cost.

“China races to build data centres in bid for AI supremacy,” Financial Times, October 8, 2026; Zijing Wu, post on X, October 8, 2026.

“China races to build data centres in bid for AI supremacy,” Financial Times, October 8, 2026; Zijing Wu, post on X, October 8, 2026.

OpenAI, “Scaling AI for Everyone”, February 27, 2026. Company-reported weekly active users of ChatGPT, not a count of distinct people across AI services or a measure of how intensively they used it.

Aaron Chatterji et al., “How People Use ChatGPT,” NBER Working Paper 34255, September 2025, Table 1 and section 3; see also OpenAI’s research summary. The study covers consumer plans, excluding business plans, logged-out users, declared minors, training opt-outs and deleted conversations from message classification. Automated labels estimate use rather than directly observe intent.

Chatterji et al., section 5.2 and Figure 9. The modification category includes summaries and arguments based on supplied text; supplied text is not necessarily the user’s own writing.

Anthropic, “How People Use Claude for Support, Advice, and Companionship”, June 27, 2025; appendix, data and validation sections. The sample was about 4.46 million Free/Pro conversations from April 6–18, 2025, on an adult service. The classification excluded content-creation requests and imposed a length threshold for role-play. Sentiment analysis compares language within selected conversations, not clinical outcomes or subsequent dependence.

Julian De Freitas et al., “AI Companions Reduce Loneliness”, Journal of Consumer Research, 2025, studies 2–4 and general discussion. The human comparison was an online exchange with another participant, not an established relationship; the studies measured reported loneliness. Cathy Mengying Fang et al., “How AI and Human Behaviors Shape Psychosocial Effects of Extended Chatbot Use”, October 2025 revision of the March preprint. Its randomized conditions concerned modality and conversation type. The association with voluntarily chosen duration does not isolate a causal effect of heavier use.

Zhang et al., Character.AI use and well-being study, preprint methods, results and limitations. Cross-sectional adult survey and selected donated sessions; associations do not establish causal effects, adolescent outcomes or harm caused by disclosure.

Chatterji et al., section 5.2: 1.9% for relationships/personal reflection and 0.4% for games/role-play. These are message categories, not percentages of people in AI relationships.

Anthropic, “How People Use Claude for Support, Advice, and Companionship”, June 27, 2025; appendix, data and validation sections. The sample was about 4.46 million Free/Pro conversations from April 6–18, 2025, on an adult service. The classification excluded content-creation requests and imposed a length threshold for role-play. Sentiment analysis compares language within selected conversations, not clinical outcomes or subsequent dependence.

Character.AI, “Harnessing Data at Scale”, February 7, 2025, supplies the company’s monthly-user figure; its August 4 feed announcement describes the character-centered creative features. These are dated company accounts, not an independent audience census.

Character Technologies, declaration in support of Chapter 11 petitions, October 13, 2026, document 18, paragraphs 9–11 and 62–64. The reported monthly losses are an attributed financial account. The proposed transaction concerns specified assets and transition services; it does not establish a complete platform acquisition or shutdown.

Harvard’s Center on the Developing Child, “Serve and Return”, explains responsive caregiving. Samuli Linnunsalo et al., “Infants’ Psychophysiological Responses to Eye Contact with a Human and with a Humanoid Robot”, Biological Psychology 192, 108858 (2024), measured attention, arousal and facial responses, not attachment or later development. Pilyoung Kim et al., “Young Children’s Anthropomorphism of an AI Chatbot”, December 3, 2025 preprint, sections 2.1–2.3 and 3.3, used short supervised sessions; researchers reviewed chatbot replies before children heard them. The Common Sense Census: Media Use by Kids Zero to Eight, 2025, pp. 33 and 35, reports an August 2024 probability-based survey of 1,578 U.S. parents; exposure figures are parent reports, not observed benefits or harms. Suskind discusses the inequality concern in her July 9, 2026 University of Chicago interview.

Mattel, “Mattel and OpenAI Announce Strategic Collaboration”, June 12, 2025.

U.S. PIRG Education Fund, “Trouble in Toyland 2025”, November 13, 2025.

Jennifer DeStefano, written statement, Senate Judiciary Subcommittee on Human Rights and the Law, June 13, 2023.

FBI, 2025 Internet Crime Report; FBI, public service announcement I-120324-PSA, December 3, 2024.

FBI, 2025 Internet Crime Report; FBI, public service announcement I-120324-PSA, December 3, 2024.

The New York Times Co. v. Microsoft Corp., No. 23-cv-11195, preservation order, May 13, 2025. The court’s December 2 opinion, p. 2 n. 2, records the October 9 order ending ongoing preservation duties as of September 26, 2025. OpenAI’s October 22 update describes the remaining historical hold. The December opinion also orders production of a different, de-identified sample under protective conditions. Neither order makes users’ chats public.

TechCrunch, December 5, 2025; Limitless.

TechCrunch, September 23, 2026.

TechCrunch, September 23, 2026.

TechCrunch, September 23, 2026.

NPR, August 15, 2025. The claims are allegations.

Chatterji et al., sections 6.1–6.3, and OpenAI’s research summary. Name classification excludes unknown/ambiguous cases; age is self-reported by a subset. Country comparisons use weekly users relative to the internet-enabled population, excluding small countries and those where ChatGPT was blocked. The results do not describe all AI adoption.

Be My Eyes, “Announcing ‘Be My AI’”, September 25, 2023. The GPT-4-powered feature began its wider iOS rollout that month, with Android following later. The announcement explains image descriptions, follow-up questions and continued volunteer access; it also warns about wrong answers and says the feature should not replace mobility aids. This was an additional service, not the beginning of visual assistance.

Michael V. Heinz et al., “Randomized Trial of a Generative AI Chatbot for Mental Health Treatment”, NEJM AI 2(4), March 27, 2025, Table 1 and Methods. Participants were assigned to Therabot (106) or a waitlist (104), with assessments at four and eight weeks. Access continued during follow-up. Active suicidality, mania and psychosis were exclusion criteria; this was not a trial against human-delivered therapy.

Garcia v. Character Technologies, Inc., No. 6:24-cv-1903 (M.D. Fla.), complaint, October 22, 2024, especially paragraphs 134–143. The January 7, 2026 order dismissed the action subject to a ninety-day reopening period, after which dismissal would be with prejudice. It gives no settlement terms or finding of liability.

First County Bank, as Executor of the Estate of Suzanne Adams v. OpenAI Foundation et al., complaint, San Francisco Superior Court, December 11, 2025, especially paragraphs 1–10 and 60–61. The account of the conversations is the plaintiff’s, and no court has found causation. An April 13, 2026 federal order describes this state action separately from the suit brought by Soelberg’s own estate. That order concerns whether the federal case should proceed alongside the state case, not the merits of either.

OpenAI, “Sycophancy in GPT-4o: What Happened and What We’re Doing About It”, April 29, 2025: the rolled-back update “was overly flattering or agreeable—often described as sycophantic”; it “focused too much on short-term feedback” such as thumbs-up/thumbs-down signals and “skewed towards responses that were overly supportive but disingenuous.” OpenAI, “Expanding on What We Missed with Sycophancy”, May 2, 2025: the April 25 update “aimed to please the user, not just as flattery, but also as validating doubts, fueling anger, urging impulsive actions, or reinforcing negative emotions.” Both read via the Internet Archive on October 1, 2026.

Jared Moore et al., “Expressing Stigma and Inappropriate Responses Prevents LLMs from Safely Replacing Mental Health Providers”, FAccT 2025, section 5.2: ten test prompts per commercial bot, not a clinical trial. Robert Hart, “AI Psychosis Is Rarely Psychosis at All”, WIRED, September 18, 2025, reports Sakata’s account. The phrase is not a recognized diagnosis, and his reported cases do not establish a population rate.

Adele Lopez, “The Rise of Parasitic AI”, September 11, 2025, including her clarifications in the comments. This is an exploratory account of selected public material, not a representative study. Her prevalence estimate was explicitly uncertain and included cases she did not regard as delusional.

Cyberspace Administration of China and four other departments, Interim Measures for the Administration of Artificial Intelligence Anthropomorphic Interactive Services, Order No. 21, April 10, effective July 15, 2026. Article 2 limits coverage to continuing emotional interaction; ordinary work, education and other services without that feature are excluded. Articles 8, 10 and 13–19 cover dependence, crisis response, age-specific protections, data safeguards, AI identification, reminders after successive two-hour periods and accessible exits. These are legal duties, not evidence of compliance or demonstrated effectiveness.

Anthropic, “Introducing Computer Use, a New Claude 3.5 Sonnet, and Claude 3.5 Haiku”, October 22, 2024. The release was a developer-facing public beta, not a claim that unattended computer use had become generally reliable.

OpenAI, “Introducing Operator”, January 23, 2025; “Introducing ChatGPT Agent”, July 17, 2025, especially the control and risk sections; and the ChatGPT Work announcement, July 9, 2026. These document successive product releases and their intended safeguards. Describing a confirmation mechanism does not establish how reliably it operates in every session.

Google, Gemini 2.0 announcement, December 11, 2024, Project Mariner section; Amazon, “How Amazon Rebuilt Alexa with Generative AI”, February 26, 2025. Amazon’s third-quarter 2025 results, October 30, report 250 million customers using Rufus that year to date. That is company-reported use of a shopping assistant, not a count of purchases made autonomously.

Anthropic, “Building Effective Agents”, December 19, 2024, especially the evaluator-optimizer and agent sections; “Demystifying Evals for AI Agents”, January 9, 2026. These engineering accounts describe conditional design choices and evaluation practices, including tracking errors, time and cost. They do not demonstrate a fixed reliability gain for arbitrary household tasks.

Radial, consumer-survey release, March 19, 2026. Dynata conducted two surveys, each of 1,000 U.S. consumers aged eighteen or older, in December 2025 and January 2026. The release reports 58% openness, 6% prior use and 53% wanting purchase approval. These are self-reported attitudes and behavior; the release does not supply full questionnaires, weighting details or a margin of error.

OpenAI, “Introducing Operator”, January 23, 2025; “Introducing ChatGPT Agent”, July 17, 2025, especially the control and risk sections; and the ChatGPT Work announcement, July 9, 2026. These document successive product releases and their intended safeguards. Describing a confirmation mechanism does not establish how reliably it operates in every session.

Meta, “Introducing Muse”, September 8, 2026.

Allison Boxer, “Will Muse Curb Consumer Spending?”, Apollo, The Daily Spark, September 30, 2026.

Allison Boxer, “Will Muse Curb Consumer Spending?”, Apollo, The Daily Spark, September 30, 2026.

Nikita Bier, post on X, October 2, 2026.

Nikita Bier, post on X, October 2, 2026.

Nikita Bier, replies in the thread under his October 2, 2026 post on X.

Nikita Bier, replies in the thread under his October 2, 2026 post on X.

Nikita Bier, replies in the thread under his October 2, 2026 post on X.

Brett Chereskin, firsthand insurance-dispute account, June 5, 2026. The published account reports a filed complaint and a pending outcome, not a recovered payment or established entitlement.

Jim Prosser, thread on X, October 8, 2026.

Jim Prosser, thread on X, October 8, 2026.

Jim Prosser, thread on X, October 8, 2026.

JPMorgan Chase, Digital Resources Terms of Use, agent provisions inspected October 28, 2026. Identification and access rules establish conditions for agent use, without establishing a motive or a particular loss incident.

Michal Kosinski, David Stillwell and Thore Graepel, “Private Traits and Attributes Are Predictable from Digital Records of Human Behavior”, PNAS (2013). The volunteer study supports inference of selected attributes; it does not establish perfect psychological understanding or prediction for every person.

Anthropic, “Effective Context Engineering for AI Agents”, September 29, 2025. The engineering account describes prompts, history, external information and tools as inputs to behavior; it supplies no guarantee that instructions will always be followed.

Louisa Dahmani and Véronique D. Bohbot, “Habitual Use of GPS Negatively Impacts Spatial Memory during Self-Guided Navigation”, Scientific Reports 10, 6310 (2020), studied fifty drivers, with thirteen returning for follow-up. Emre Yavuz et al., “Video Gaming, but Not Reliance on GPS, Is Associated with Spatial Navigation Performance”, Journal of Environmental Psychology 96, 102296 (2024), used a different navigation task. Neither study randomly assigned long-term GPS habits; their results are not measurements of AI’s effects on other skills.

Anish Acharya, “The Most Human Technology Ever Made”, July 13, 2026. The remark is Acharya’s recollection of what Kuyda told him, not a recorded interview or a survey finding.

MBC, Meeting You (너를 만났다), broadcast February 6, 2020; see the broadcaster’s contemporary account, February 7, read in Korean (translations ours). It describes Nayeon, Jang’s third daughter, dying in 2016 at seven; Jang’s wish to make her the seaweed soup she drank by the bowlful with a thumbs-up, and her fear that even Nayeon’s existence would be forgotten; eight months of analyzing family video of her gestures, voice and manner of speech, rebuilt with motion capture; Jang arriving nervous, saying “Where are you, I want to touch you,” her trembling attempts to touch her, and family and crew in tears; the virtual birthday party, Nayeon’s wish that her mother not cry, and Jang’s vow to love her more instead of missing her; and that the meeting let her change her last memory of Nayeon into a happier one. The complete documentary was not independently watched.

OpenAI, “Navigating the Challenges and Opportunities of Synthetic Voices”, March 29, 2024: Voice Engine “uses text input and a single 15-second audio sample to generate natural-sounding speech that closely resembles the original speaker”; OpenAI said it was “taking a cautious and informed approach to a broader release due to the potential for synthetic voice misuse.” Read via the Internet Archive, October 1, 2026.

James Vlahos, original Dadbot account, WIRED, July 18, 2017; his NPR interview, July 23, explains the prepared-dialogue design and demonstrates recorded singing. His later HereAfter venture is discussed in Bret Kinsella’s September 2020 interview.

Jason Fagone, “The Jessica Simulation,” San Francisco Chronicle, July 23, 2021. See the annotated first chapter and interview with Fagone and second chapter at Nieman Storyboard. The account draws on Barbeau’s saved chats and interviews; his response to the simulation is an individual experience, not a clinical result.

Anthony Breznican, “Darth Vader’s Voice Emanated From War-Torn Ukraine”, Vanity Fair, September 23, 2022. Sound editor Matthew Wood describes Jones approving the use of archival recordings and advising on the performance. The publication date is not the date of consent, and the report does not establish a transfer of all voice rights.

Helen Rosner’s July 15 interview with Morgan Neville and July 17 follow-up, The New Yorker (2021). Busia recalled AI being discussed but did not realize it had been used; she also believed Neville thought he had everyone’s blessing. This is more complicated than a categorical claim that the family or estate denied permission.

Tomasz Hollanek and Katarzyna Nowaczyk-Basińska, “Griefbots, Deadbots, Postmortem Avatars: On Responsible Applications of Generative AI in the Digital Afterlife Industry”, Philosophy & Technology 37, 63 (May 9, 2024), especially section 6.3. Their imagined services explore consent and withdrawal; they are speculative design scenarios, not reports of clinical outcomes.

Tennessee General Assembly, HB2091 / Public Chapter 588, signed March 21, 2024, effective July 1; the adopted amendment limits the technology-related claim and supplies exceptions. California AB 1836, approved September 17, 2024, amends Civil Code §3344.1; its exceptions include news, commentary and certain documentary or biographical uses. SAG-AFTRA’s 2023 agreement summary, section II, distinguishes employment-based and independently created replicas. Consent can survive death, and compensation and consent have specified exceptions. These are particular statutory and contractual protections, not a universal law of digital remembrance.

Phyllis R. Silverman and Dennis Klass, “Introduction: What’s the Problem?”, in Dennis Klass, Phyllis R. Silverman and Steven L. Nickman, eds., Continuing Bonds: New Understandings of Grief (Taylor & Francis, 1996). The volume argues for recognizing healthy enduring bonds; it does not establish that every continuing attachment—or an interactive simulation—is beneficial.

Yuancheng Lu et al., “Reprogramming to Recover Youthful Epigenetic Information and Restore Vision”, Nature 588 (2020): 124–129, published online December 2. The paper distinguishes nerve regeneration after injury from visual improvement in glaucoma and aged-mouse models. For the earlier discovery, see the Nobel Assembly’s 2012 scientific background. Harvard’s account of the eye study also discusses the risks of loss of cell identity and tumor growth in reprogramming.

Yuancheng Ryan Lu, Xiao Tian and David A. Sinclair, “The Information Theory of Aging”, Nature Aging 3 (2023): 1486–1499; Carlos López-Otín et al., “Hallmarks of Aging: An Expanding Universe”, Cell 186 (2023): 243–278. On the wider disagreement, see João Pedro de Magalhães, “An Overview of Contemporary Theories of Ageing”, Nature Cell Biology 27 (2025): 1074–1082, and David H. Meyer, Alexei A. Maklakov and Björn Schumacher, “Aging by the Clock and Yet Without a Program”, Nature Aging 5 (2025): 1946–1956, with its December 2025 addendum. The latter argues that accurate clocks can reflect accumulated molecular errors without establishing a biological program of aging.

Altos Labs, launch announcement, January 19, 2022. The company announced $3 billion fully committed and described Yamanaka’s role as senior scientific adviser without remuneration, overseeing research activities in Japan.

Google’s Calico announcement, September 18, 2013; AbbVie and Calico’s collaboration announcement, September 3, 2014. The latter provided for up to $250 million from each party initially, with another $500 million each possible. For Retro, see Ashlee Vance’s report accompanying his visit to the company, April 7, 2025, on Altman’s $180 million investment, and Retro’s May 2026 announcement restating its ten-healthy-years aim.

OpenAI, “Accelerating Life Sciences Research”, August 22, 2025: GPT-4b micro, “a miniature version of GPT-4o specialized for protein engineering,” designed variants of the Yamanaka factors SOX2 and KLF4 that in vitro “achieved greater than a 50-fold higher expression of stem cell reprogramming markers than wild-type controls” and showed enhanced DNA-damage repair. The post notes that Sam Altman is an investor in Retro Biosciences and that the model is not broadly available. Laboratory results, not a treatment. Read via the Internet Archive, October 1, 2026.

Alice Park, “Eye Cells May Have Been Rejuvenated for the First Time in People”, Time, October 8, 2026; Life Biosciences, first-in-human data from its Phase 1 trial of ER-100, October 8, 2026.

Alice Park, “Eye Cells May Have Been Rejuvenated for the First Time in People”, Time, October 8, 2026; Life Biosciences, first-in-human data from its Phase 1 trial of ER-100, October 8, 2026.

Alice Park, “Eye Cells May Have Been Rejuvenated for the First Time in People”, Time, October 8, 2026; Life Biosciences, first-in-human data from its Phase 1 trial of ER-100, October 8, 2026.

Alice Park, “Eye Cells May Have Been Rejuvenated for the First Time in People”, Time, October 8, 2026; Life Biosciences, first-in-human data from its Phase 1 trial of ER-100, October 8, 2026.

Jamie N. Justice et al., pulmonary-fibrosis pilot, EBioMedicine 40 (2019): 554–563 (fourteen participants); LaTonya J. Hickson et al., diabetic-kidney-disease pilot, EBioMedicine 47 (2019): 446–456 (nine); Anoop Nambiar et al., randomized feasibility trial, EBioMedicine 90 (2023), 104481 (twelve). All tested dasatinib with quercetin. The first two were open-label and uncontrolled. The third reported more non-serious adverse events in the treatment arm and no meaningful between-group difference in exploratory functional measures; larger trials were needed to assess safety and efficacy.

American Federation for Aging Research, official TAME trial resource, accessed September 7, 2026. The proposed design spans six years and fourteen institutions, with roughly 3,000 participants aged 65–79 and Wake Forest as coordinating center. The page describes fundraising and recruitment as prerequisites to launch. This is a trial plan, not evidence that metformin delays aging in people.

Dog Aging Project, “Key Facts about TRIAD” (2023). The double-blind, placebo-controlled design provides one year of study medication followed by two more years of monitoring, with lifespan as its primary question and health measures secondary. The project’s 2024–26 funding acknowledgment identifies National Institute on Aging support and says TRIAD data are held until completion. These sources describe the design and data policy, not a demonstrated longevity benefit.

Zuojun Xu et al., “A Generative AI-Discovered TNIK Inhibitor for Idiopathic Pulmonary Fibrosis: A Randomized Phase 2a Trial”, Nature Medicine 31 (2025): 2602–2610, published online June 3. Seventy-one patients were assigned to three treatment groups or placebo for twelve weeks; the primary endpoint concerned adverse events. The highest-dose group had a mean forced-vital-capacity gain of 98.4 mL, against a 20.3 mL decline on placebo, a secondary outcome. Insilico’s July 7, 2026 announcement describes a 52-week Phase 3 trial planned for 320 participants at 47 Chinese centers and says the drug remains investigational. Neither study tests extension of human lifespan.

Calico and AbbVie, collaboration update, July 27, 2021; Calico, HEALEY ALS Platform Trial update, January 6, 2025. Neither the primary nor exploratory high dose met the combined function-and-mortality primary endpoint. The company reported exploratory muscle-strength signals at the higher dose and planned further analysis. The ALS result does not settle the drug’s possible use in other diseases.

Steve Horvath, “DNA Methylation Age of Human Tissues and Cell Types”, Genome Biology 14, R115 (2013); Joshua J. Levy et al., “Insights to Aging Prediction with AI Based Epigenetic Clocks”, Epigenomics 17(1) (2025): 49–57, published online November 25, 2024. These models differ in training targets and clinical associations. Mahdi Moqri et al., “Validation of Biomarkers of Aging”, Nature Medicine 30 (2024): 360–372, discusses the additional validation needed for clinical use and evaluation of interventions.

Aubrey D. N. J. de Grey, “Escape Velocity: Why the Prospect of Extreme Human Life Extension Matters Now”, PLOS Biology 2(6), e187 (June 15, 2004). His “actuarial escape velocity” describes mortality reductions fast enough that remaining life expectancy increases as time passes. It depends on sustained advances in treatment; the essay proposes a possibility rather than demonstrating it in people.

Pew Research Center, Living to 120 and Beyond, August 6, 2013, topline questions 14, 43 and 45. Fieldwork ran March 21–April 8, 2013; 2,012 respondents received the radical-extension questions. These are dated hypothetical preferences, not current willingness to use a particular treatment. The question describes slowing aging and living decades longer, rather than improving health without major lifespan extension.

Anand Avati et al., “Improving Palliative Care with Deep Learning”, BMC Medical Informatics and Decision Making 18, 122 (2018), Methods and Conclusion. The source database covered about two million people, but 221,284 met the study’s inclusion criteria, with further training/validation/test splits. Mortality was a proxy for possible benefit from consultation, not a direct measure of a patient’s wishes.

Christopher R. Manz et al., initial trial report, JAMA Oncology (2020), read with its February 2022 correction; and long-term follow-up, JAMA Oncology 9 (2023): 414–418. These are reports from the same trial, not independent replications. The follow-up included 20,506 patients; end-of-life treatment data were available for 1,188 decedents. Conversation rates concern encounters; treatment rates concern patients. Other measured end-of-life outcomes did not differ significantly, and quality of life was not measured.

Parker Seegmiller et al., “How Much Would a Clinician Edit This Draft?”, ACL 2026, sections 2, 4, 5 and 8. Models and adaptation methods were tested on selected evaluation sets, not all trained identically on the entire archive. The reference-based editing measure estimates additions and deletions; it is not elapsed clinical time or a patient-outcome measure.

Aubrey D. N. J. de Grey, “Escape Velocity: Why the Prospect of Extreme Human Life Extension Matters Now”, PLOS Biology 2(6), e187 (June 15, 2004). His “actuarial escape velocity” describes mortality reductions fast enough that remaining life expectancy increases as time passes. It depends on sustained advances in treatment; the essay proposes a possibility rather than demonstrating it in people.

Tim Ingham, “Universal Music Group responds to ‘fake Drake’ AI track”, Music Business Worldwide, April 17, 2023, reported more than fifteen million cumulative plays across Ghostwriter’s TikTok clips, not one clip. In his later Billboard interview (see c3), Ghostwriter described the songwriting, production and underlying vocal as his own, with AI voice filters added.

Graeme Grant, UMG’s vice president of global content protection, “Artificial Intelligence in the Music Industry: Its Use by Pirates and Right Holders”, in WIPO/ACE/16/15, January 12, 2024, paragraph 15, p. 18. Grant identifies the sampled recording as Metro Boomin’s “No Complaints” and distinguishes the copyright-based removal from subsequent reports based on trademark and name, image and likeness rights. This is UMG’s account of its enforcement actions, not a judicial determination.

“Ghostwriter, the Mastermind Behind the Viral Drake AI Song, Speaks for the First Time”, Billboard, October 11, 2023, reproduced by SoCast; a version appeared in the October 7 print issue. The interview reports Harvey Mason Jr.’s September 8 rejection of the voice-filtered recording and independently confirms with an Academy representative that a replacement released that day without AI voice filters would be on the ballot. Eligibility was not a nomination or an award.

Suno, “A Whole New Level of Creative Control”, June 3, 2025, documents section editing, audio uploads and separation into up to twelve stems. “Introducing Suno Studio”, September 25, 2025, describes multitrack editing, generated instrumental and vocal variations, tempo and pitch controls, and audio or MIDI export. These are the company’s descriptions of its controls, not independent assessments of sound quality or training-data rights.

Record-company plaintiffs filed the Suno complaint in Massachusetts and the Udio complaint in New York on June 24, 2024. Both allege unauthorized copying for training; their allegations are not findings of liability. UMG announced a settlement and licensing agreements with Udio on October 29, 2025. Warner announced agreements settling its litigation with Udio on November 19 and Suno on November 25. Those agreements did not resolve every claimant’s case or establish that every promised product change had occurred.

Justice v. Suno, Inc., No. 25-11739-FDS, memorandum and order, Dkt. 71, D. Mass., August 20, 2026. Judge F. Dennis Saylor IV denied dismissal of the derivative-work claim and the DMCA access-circumvention claim, but dismissed the Tennessee consumer-protection count. The challenged circumvention involved YouTube’s rolling cipher, not a finding about Spotify. The reproduction count was not part of this motion. The ruling found sufficient allegations to proceed, leaving proof for later; this is a separate action from the labels’ 2024 suit.

TuneCore, “TuneCore Partners with CreateSafe Using Grimes’ Elf.Tech”, June 12, 2023. The pilot let creators transform their own vocals into a GrimesAI voiceprint and distribute approved collaborations through TuneCore with a fifty-percent royalty split. Grimes’s approval and platform review were conditions, not optional courtesies; this was not blanket permission for any use of her identity. The announcement describes the program’s terms, not an independent audit of later payments.

Holly Herndon, Holly+ launch essay. The voice model was trained on her isolated vocal recordings. She proposed shared governance of her digital likeness through a community of stewards, with revenue divided among makers, members and herself. The essay distinguishes the released voice tool from governance and commercial-licensing plans; it does not establish the current legal or financial operation of every proposed arrangement.

Deezer, April 20, 2026 update. These are the company’s detector-based counts on its own service, not a census of all music. Its notes report up to 85 percent of streams of fully generated tracks as fraudulent in 2025, and describe excluding detected tracks from recommendations and manipulated streams from royalties. Upload share and listening share measure different things; the latter also reflects platform policy.

U.S. Attorney’s Office, Southern District of New York, March 19, 2026 plea announcement. Michael Smith pleaded guilty to one count of conspiracy to commit wire fraud and agreed to forfeit $8,091,843.64. The account describes hundreds of thousands of generated songs and billions of automated streams. The amount was agreed forfeiture, not a claim that repayment had already occurred.

Music Week, “US man sentenced to 18 months in prison for $8 million AI music streaming fraud”, October 7, 2026, reporting the Justice Department’s account: thousands of fake accounts made with fake email addresses and fraudulently obtained debit cards, “as many as 10,000 bot accounts at once,” and an AI music company that “provided Smith with thousands of songs each week.”

Deezer, November 12, 2025 survey release. Ipsos Digital surveyed 9,000 adults across eight markets online, October 6–10. The listening exercise used three tracks; the reported failure rate is not the proportion of individual track judgments that were wrong, nor a measure of every listener’s ability across all music. The labeling preference concerned fully AI-generated music.

Alessandro Ansani et al., “AI Performer Bias: Listeners Like Music Less When They Think It Was Performed by an AI”, Empirical Studies of the Arts, 2025. In a crossover experiment with 120 participants, three classical-piano excerpts used identical audio in paired videos: one showed a pianist miming the performance, the other a player piano described as AI-controlled. Ratings favored the pianist for liking, quality, emotional valence and engagement. Both the visible performance and its description differed; this was not a label-only test or a comparison of actual AI and human musical performances. The sample was recruited mainly through universities.

Microsoft Research, Muse introduction, February 19, 2025, training-data and gameplay-generation sections; Jake Bruce et al., “Genie: Generative Interactive Environments”, ICML 2024. Muse used recorded visuals and controller actions; original Genie learned latent actions without supplied action annotations. These published methods are not descriptions of Genie 4’s complete training recipe.

Google DeepMind, Genie 4 model page and release announcement, October 27, 2026. Developer descriptions of a research preview, including short sessions and continuity limitations; the later scenarios in the text are conditional possibilities.

Xbox, “Introducing Xbox Labs”, October 13, 2026. The announcement describes experiments and a new group, not universal technical feasibility or permission to reuse any game.

SIMA Team, “SIMA 2: A Generalist Embodied Agent for Virtual Worlds”, 2025. Training across games and evaluation in previously unseen Genie 3 environments are distinct parts of the report.

Maureen Kerr, “Why ‘Critterz’ Is the Real Test of AI Filmmaking”, Forbes, May 26, updated May 30, 2026. Her interviews and correspondence with the filmmakers distinguish first-look market footage from a completed feature and identify a first-quarter 2027 release target. Earlier budget and production-time targets are not audited final results. Associated Press, June 6, 2025, corrected June 7, reports Runway CEO Cristóbal Valenzuela’s estimate of about 6,000 submissions and Jacob Adler’s grand-prize win for Total Pixel Space.

Jake Angelo, “AI Startup Produces Fully AI-Generated Feature-Length Film”, Semafor, August 19, 2026. The report gives the production’s stated duration and budget, links the movie, and supplies the reviewer’s observations about images, performance and writing. These are not independently audited accounts. The review’s diagnosis of prompting problems is an interpretation, not access to the production’s complete prompt history.

CJ ENM’s April 30, 2026 announcement names The House and describes the live-performance/generated-environment split, including Kim Shin-yong’s account of seeing backgrounds while acting. Baek Seo-hyun’s Aju Press report from the event, published in an AI-translated English version, gives the roughly 500-million-won budget and CJ ENM’s conventional-cost estimate. Four days refers to filming, not the entire production. The company’s comparison is not independently audited. The 500-million-won budget was approximately US$338,300 at the Federal Reserve’s April 30, 2026 rate of 1,477.93 won per dollar; this is a currency conversion, not a separately reported dollar budget.

Rafael See Toh, “POV: I Paid S$21.50 to Watch a S’pore AI Sci-fi Movie on National Day”, Mothership, August 10, 2026. The reviewer attended the August 9 screening and reported the subsequent questions to FizzDragon. The team gave a two-to-three-month production time and acknowledged the deadline rush. His ticket cost included a booking fee. His criticism and quoted audience reactions are not a representative audience survey or proof that any single production choice caused the reception.

Google, “Meet Flow: AI filmmaking with Veo, Imagen and Gemini”, May 20, 2025, describes reusable visual assets, camera controls and scene-building tools; early access to Veo 3’s native audio was offered on its Ultra plan. Runway’s “Creating with Gen-4 Image References” explains reference-based image generation and the subsequent option to animate a selected image. Neither document establishes reliable continuity across an entire film. Epic’s level-blockout guide explains grayboxing with simple geometry. Ren et al.’s GEN3C project account, CVPR 2025, describes depth estimation, a three-dimensional cache and user-supplied camera paths. This research method is not evidence that every filmmaking service offers the same control.

Google, “Meet Flow: AI filmmaking with Veo, Imagen and Gemini”, May 20, 2025, describes reusable visual assets, camera controls and scene-building tools; early access to Veo 3’s native audio was offered on its Ultra plan. Runway’s “Creating with Gen-4 Image References” explains reference-based image generation and the subsequent option to animate a selected image. Neither document establishes reliable continuity across an entire film. Epic’s level-blockout guide explains grayboxing with simple geometry. Ren et al.’s GEN3C project account, CVPR 2025, describes depth estimation, a three-dimensional cache and user-supplied camera paths. This research method is not evidence that every filmmaking service offers the same control.

Google, Flow announcement, May 20, 2025, describes early access to Veo 3’s native audio generation, including environmental sounds and dialogue. This is a dated capability announcement, not a finding that every current model handles every scene reliably.

Alex Mashrabov, post on X, October 8, 2026, with a slide from Contra Labs, “Creative Intelligence 2026”; Higgsfield, post on X, October 8, 2026; Anthropic, “Build live dashboards and animate explainers with Claude”, October 8, 2026.

Alex Mashrabov, post on X, October 8, 2026, with a slide from Contra Labs, “Creative Intelligence 2026”; Higgsfield, post on X, October 8, 2026; Anthropic, “Build live dashboards and animate explainers with Claude”, October 8, 2026.

Alex Mashrabov, post on X, October 8, 2026, with a slide from Contra Labs, “Creative Intelligence 2026”; Higgsfield, post on X, October 8, 2026; Anthropic, “Build live dashboards and animate explainers with Claude”, October 8, 2026.

Naija AI Film Festival’s post-event account identifies September 13, 2025 and Alliance Française Lagos as the date and venue, and describes screenings, technical discussion and an ethics panel. The organizers reported 490 submissions there; their current website gives broader lower-bound figures for the inaugural edition. Neither is an independently audited attendance or submission register. The chapter relies on the event’s occurrence, not a precise census or a claim to continental priority.

DataEye, 2026 first-half AI and animated drama report. Counts concern Douyin releases and a play threshold on that platform. They do not measure profitability, cross-platform audiences or a failure rate.

Lionsgate, Runway partnership announcement, September 18, 2024, describes a model customized to its portfolio. Its company description identifies a library exceeding 20,000 titles; the release does not establish that every title was cleared and used for training. UMG’s October 29, 2025 Udio announcement describes a planned licensed platform with participating artists and compensation. These announcements establish intended arrangements, not completion of every promised service.

U.S. Copyright Office Review Board, Théâtre D’opéra Spatial, September 5, 2023, especially pp. 2, 5–7 and 9. The board records Allen’s account of at least 624 prompt revisions and affirms refusal of the application as submitted; it does not decide whether his modifications alone would sustain a new, limited claim. The Office’s Copyright and Artificial Intelligence, Part 2: Copyrightability, January 2025, p. iii and pp. 18–21, treats prompt control as dependent on the technology being evaluated. This describes the agency’s stated position, not a timeless rule that every use of every generative system produces the same result.

Jason Koebler, “Facebook’s Algorithm Is Boosting AI Spam That Links to AI-Generated, Ad-Laden Click Farms”, 404 Media, March 19, 2024, describes “Shrimp Jesus” and pages directing attention toward advertising, products and scams. Simon Willison advocated the term in “Slop Is the New Name for Unwanted AI-Generated Content”, May 8, 2024, crediting an earlier post rather than claiming to have coined it. Merriam-Webster announced its 2025 Word of the Year selection on December 15, 2025.

Hanaa’ Tameez, “Facing a ‘Deluge’ from AI, This Publication Will Only Take Pitches by Phone”, Nieman Lab, August 18, 2026. Raskin described a planned September pitchline, not a completed trial with measured results. Her concern included excluding promising writers outside her professional network. She planned designated hours and individually coordinated calls for people with other obligations; she did not claim that telephone pitches would be immune to AI.

Jenna Russell, Marzena Karpinska, and Mohit Iyyer, “People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text”, Proceedings of ACL 2025, 5342–5373. The test paired 150 human-written articles drawn from eight outlets with 150 model-generated articles. Five annotators selected through experience and performance screening made individual judgments; their majority vote missed one of the 300. The American-English nonfiction task was designed to examine expert performance, not establish a general detection rate for readers, languages or genres.

Hank Green, posting as ecogeek, response in r/nerdfighters, July 2026. His account distinguishes research assistance from outsourced judgments and announces reduced output. It is his description of his process, not an independent reconstruction of every source or script. The disputed “pushback” phrase does not establish AI authorship.

Replies in the same discussion include requests to slow down and preserve a recognizable voice. These are individual responses in one thread, not a measurement of his audience’s views.

Nathan J. Robinson, “Why We’re Banning AI”, October 15, 2026. The publication’s declared policy excludes generated articles and illustrations while allowing limited research assistance; it is evidence of that editorial commitment, not its commercial outcome.

Maggie Harrison Dupré, “Sports Illustrated Published Articles by Fake, AI-Generated Writers”, Futurism, November 27, 2023, documented invented profiles, including Drew Ortiz, whose headshot appeared on an AI-portrait marketplace. Publisher Arena Group attributed the reviews to AdVon Commerce; it relayed the contractor’s denial that the articles themselves were AI-written and ended the partnership. The fabricated profiles and the disputed method of writing the reviews are separate issues. Mia Sato and Emma Roth, “CNET Found Errors in More Than Half of Its AI-Written Stories”, January 25, 2023, reported corrections to forty-one of seventy-seven pieces.

WGA, 2023 Memorandum of Agreement, Article 72, pp. 68–70, covers generated material, disclosure, compensation, credit, required use and reserved training-related rights. SAG-AFTRA’s November 16, 2023 agreement summary, section II, distinguishes replica creation, use, alterations and synthetic performers, with different consent, payment and bargaining provisions and exceptions. In its September 30, 2025 Tilly Norwood statement, the union opposed synthetic replacements and reminded signatory producers of notice and bargaining obligations. Its claims about unauthorized training are the union’s assertions, not judicial findings. These are specific historical agreements, not a claim that they were the first AI contracts or a survey of all later terms.

See Authors Guild v. OpenAI, amended complaint, December 4, 2023, introductory statement, and Andersen v. Stability AI, original complaint, filed January 13, 2023, paragraphs 1–8. These pleadings allege unauthorized acquisition and training use. That dispute is distinct from whether a user can claim copyright in a generated output; the complaints themselves do not establish liability.

Bartz v. Anthropic, order on fair use, June 23, 2025, pp. 1–5 and 30–32. The summary-judgment ruling addresses distinct uses on the record before it, not all AI training. It left the pirated-library claims for trial. The court later granted final approval to a $1.5 billion class settlement on July 20, 2026; approval is not proof that every claimant has been paid.

Alex Reisner, “Someone Is Mysteriously Snapping Up Used Books Around the World”, The Atlantic, August 5, 2026. His bookseller interview and correspondence distinguish observed bulk orders from unproven claims about their ultimate buyers or destruction. ISBNdb told him its proposed acquisition service never launched. Zoom Books denied knowingly supplying books for scanning or destruction; this is the bookseller, not the videoconferencing company.

Denmark’s Ministry of Culture, political agreement of June 26, 2025, proposed separate protections for personal characteristics and artistic performances, directed chiefly at removing unauthorized imitations from online platforms. It expressly preserved room for satire and made the plan subject to EU law and international obligations. This is the proposal’s stated scope, not a claim about enactment or demonstrated enforcement.

Christoph Fuchs, Martin Schreier, and Stijn M.J. van Osselaer, “The Handmade Effect: What’s Love Got to Do with It?”, Journal of Marketing 79, no. 2 (2015), 98–110. Across four studies, perceived love helped explain the appeal of handmade labels. Study 2 varied gift-recipient closeness; Study 4 used an incentive-compatible willingness-to-pay task, not observed ordinary retail spending. Related research by Justin Kruger et al., “The Effort Heuristic”, JESP 40 (2004), 91–98, found higher evaluations when production seemed more effortful. Hyejeung Cho and Norbert Schwarz, “Of Great Art and Untalented Artists”, JCP 18 (2008), 205–211, showed that making talent rather than effort salient changed that inference. Ziano et al.’s 2023 preregistered replications produced mixed results, including different outcomes for liking/quality and monetary valuation. These findings do not establish that more time always means more care or more value.

Coalition for Content Provenance and Authenticity, C2PA and Content Credentials Explainer, version 2.2, especially sections 2, 6 and 7. Content Credentials bind signed provenance assertions to an asset and make tampering detectable under the standard’s trust model. The record can be incomplete or removed, and trust in its assertions still depends on their source. Credentials neither guarantee factual truth nor establish human authorship; absence of a credential does not by itself establish deception.

Billboard’s account of its Xania Monet reporting identifies Telisha Jones as the lyricist, Suno as the music-generation platform, and chart activity and a multimillion-dollar recording deal. A genre-specific chart is distinct from the Hot 100, and a reported offer from final contract terms.

Conor Murray, “Creator behind Billboard-charting AI artist Xania Monet defends her music against backlash from Kehlani and more”, Forbes, November 5, 2025; on the Hallwood Media deal, see Ebony.

Pope Leo XIV, post on X, October 2, 2026: “In this era of artificial intelligence, it is becoming urgent to distinguish human art from what machines produce. There is an ontological difference, even before an aesthetic one, between art and what a machine can generate through statistical calculation based on millions of images created by others.”

Ken Griffin, Stanford Leadership Forum conversation with Amit Seru, published by Stanford Graduate School of Business May 4, 2026. The AI passage is transcribed in Tim Hains’s May 17 account. The timing comparison is Griffin’s account of work at Citadel, not an independently measured productivity result.

David H. Autor, “The ‘Task Approach’ to Labor Markets: An Overview”, Journal for Labour Market Research 46 (2013), 185–199, sections 2 and 3.1. Tasks are activities; skills are capacities applied to them. An occupation-level bundle need not describe every individual job.

Ronald H. Coase, “The Nature of the Firm”, Economica 4 (1937), 386–405, sections II–III. Lower internal organizing costs can favor expansion. Oliver E. Williamson, “Transaction Cost Economics: The Natural Progression”, Nobel lecture, December 8, 2009, sections 2–3, explains specialized investments and adaptation. The AI applications here are illustrative extensions of those arguments.

Ronald H. Coase, “The Nature of the Firm”, Economica 4 (1937), 386–405, sections II–III. Lower internal organizing costs can favor expansion. Oliver E. Williamson, “Transaction Cost Economics: The Natural Progression”, Nobel lecture, December 8, 2009, sections 2–3, explains specialized investments and adaptation. The AI applications here are illustrative extensions of those arguments.

Matthew Dahl and Eric Martínez, “Bye-bye, Bluebook?”, August 16, 2026 revision, sections 3, 5 and 6. The 2,058-query dataset includes 914 full-citation tasks and 1,144 fill-in-the-blank tasks; the headline rates concern the weighted full-citation test. Supplying rules raised one model’s score from 42.2 to 63.1 percent, not the six-model average. The best hybrid result, 85.5 percent, is likewise distinct from the pooled 75 percent. Scoring includes required typography.

Joel Becker et al., METR study and methodological summary, July 10, 2025. Participants averaged five years in their repositories and mainly used Cursor with Claude 3.5/3.7 Sonnet. The study measures a dated assistance effect, not a universal cost of proofreading. METR’s February 24, 2026 follow-up reported later point estimates favoring speedup, but confidence intervals crossed zero and selection/time-measurement problems prevented a reliable estimate of the current effect.

Benioff on The Logan Bartlett Show, episode 149, August 29, 2025. Scott Budman’s report, September 2, quotes both the podcast and Salesforce’s response to NBC Bay Area; archived reprint. The reported headcount change does not supply a breakdown by departure mechanism or isolate AI’s causal contribution.

Brody Ford’s Bloomberg interview, May 1, 2023.

Amy Coleman, “Introducing a Voluntary Exit Offer”, Microsoft, October 26, 2026. Todd Bishop, “Microsoft makes new ‘voluntary exit’ offer to about a quarter of its workforce, including some execs”, GeekWire, October 26, 2026. Microsoft confirmed about 60,000 eligible employees and an early-December decision deadline to GeekWire. Eligibility is distinct from uptake; the announcement does not establish AI causation.

James Bessen, “Toil and Technology”, Finance & Development, March 2015. His urban-branch figures illustrate the expansion mechanism; they should not be multiplied together to explain a separate national employment series. For the later pressures, see the Bureau of Labor Statistics, “Tellers,” Job Outlook, updated August 27, 2026, projecting a thirteen-percent employment decline over 2025–2035.

Dan Shipper, “After Automation”, May 21, 2026, opening section. The staff count and continued hiring are his account of Every; the quoted sentence states his broader argument. Neither establishes how employment would have changed without automation.

James Bessen, “Toil and Technology”, Finance & Development, March 2015. His urban-branch figures illustrate the expansion mechanism; they should not be multiplied together to explain a separate national employment series. For the later pressures, see the Bureau of Labor Statistics, “Tellers,” Job Outlook, updated August 27, 2026, projecting a thirteen-percent employment decline over 2025–2035.

Peter Steinberger’s May 15, 2026 post, reproduced in full by Digg. His account describes agent assignments and a deliberately unconstrained-cost ambition, not a measured labor-substitution ratio or an audited comparison of completed work.

Sundar Pichai, Alphabet’s October 29, 2024 earnings-call transcript, opening remarks. The company reported a share of new code generated and accepted, without a corresponding staffing or time-saving measure in that passage.

Klarna’s February 27, 2024 release says the assistant had already been live for a month and explicitly retains access to live agents. Its workload estimate is company-reported. Charles Daly, Bloomberg, May 8, 2025.

Gartner, May 5, 2026 survey announcement. Fieldwork was in the third quarter of 2025; eligible enterprises had annual revenue of at least $1 billion and were piloting or deploying AI agents, intelligent automation or autonomous technologies. The eighty-percent figure concerns workforce reductions, not failure to earn a return. This is a reported association, not an experiment isolating the effects of layoffs.

KPMG, US 2026 CEO Outlook, “Closing the skills gap.” Overall headcount expectations cover three years; AI-related workforce strategies cover two to five. These are executives’ stated expectations and plans.

Dario Amodei, Fox & Friends First, May 29, 2025, original published segment, 4:59, approximately 3:16-3:25: https://www.foxnews.com/video/6373601741112. Statement about augmentation’s limits is an attributed judgment, not measured economy-wide displacement. Complete segment and shorter posted attachment independently processed; timestamped research notes identify the source and distinguish the host’s numerical framing from Amodei’s qualified answer. The October 31 repost is not a new interview or a verified 47-minute source.

The review volumes and hours are arithmetic illustrations, not estimates or forecasts. Preserving total paid human hours requires service volume to rise in inverse proportion to hours per service: a decline from ten hours to two requires five times the volume. David H. Autor, “The ‘Task Approach’ to Labor Markets: An Overview,” Journal for Labour Market Research 46 (2013), sections 2–3, supplies the task framework: https://economics.mit.edu/sites/default/files/publications/the%20task%20approach%202013.pdf. The broad-substitution sequence is an analytical extension under the premise stated in the text.

David Ricardo, On the Principles of Political Economy and Taxation, chapter 7, “On Foreign Trade”, first published 1817; the linked text is the 1821 edition. For task displacement and countervailing wage effects, see Autor’s “Task Approach,” section 2.2. William J. Baumol, “Macroeconomics of Unbalanced Growth: The Anatomy of Urban Crisis”, American Economic Review 57 (1967), 415–426, sections 1–3, credits the earlier joint work with Bowen. Its relative-cost result assumes linked wages across sectors; it is not a prediction that every human service must receive a nominal pay rise.

David Ricardo, On the Principles of Political Economy and Taxation, chapter 7, “On Foreign Trade”, first published 1817; the linked text is the 1821 edition. For task displacement and countervailing wage effects, see Autor’s “Task Approach,” section 2.2. William J. Baumol, “Macroeconomics of Unbalanced Growth: The Anatomy of Urban Crisis”, American Economic Review 57 (1967), 415–426, sections 1–3, credits the earlier joint work with Bowen. Its relative-cost result assumes linked wages across sectors; it is not a prediction that every human service must receive a nominal pay rise.

Brendan Foody, “Unlocking human potential in the AI economy”, Mercor, 27 October 2025. The company announced a $350 million Series C at a $10 billion valuation; its accompanying graphic reported more than 30,000 experts. These are company-reported figures, not an independent measure of continuing employment or earnings.

Anthropic, “Prompt Engineer and Librarian,” reproduced posting. The advertised base-salary range was $175,000–$335,000; it was not a report of typical prompt-engineering pay. Daily Zaps’ 16 February 2023 job board links the original vacancy. The listing already included prompt chains, tutorials, programming and quality assurance.

Kris Crismundo, “PH’s ITBPM revenues grow 7% to $38-B in 2024”, Philippine News Agency, 15 January 2025, reporting figures supplied by IBPAP chief executive Jack Madrid. For India, nasscom, Strategic Review 2024, executive summary, pp. 7–8: its FY2024 estimate covers IT services, business-process management, engineering research and development, software products and hardware. Neither workforce count is confined to call centers or services exported to foreign customers.

Dani Rodrik, “Premature Deindustrialization”, Journal of Economic Growth 21 (2016): 1–33, especially the introduction. The analysis distinguishes manufacturing’s employment and output shares; it does not describe all countries following the same path. Rodrik credits earlier use of the term to Dasgupta and Singh.

Paweł Gmyrek, Mariana Viollaz and Hernan Winkler, “Disruption without dividend?”, ILO Working Paper 166, 17 March 2026, a joint ILO–World Bank study. Micholo Cucio and Tristan Hennig, “Artificial Intelligence and the Philippine Labor Market: Mapping Occupational Exposure and Complementarity”, IMF Working Paper 25/43, February 2025, sections IV–V. The Philippine analysis links occupational scores to October 2022 labor-force data; its national finding of substantial complementarity does not describe the call-center subgroup. These are exposure classifications, not observed employment effects.

Billy Perrigo, “Exclusive: The $2 Per Hour Workers Who Made ChatGPT Safer”, TIME, 18 January 2023. Reported pay figures are take-home wages.

Karen Hao and Andrea Paola Hernández, “How the AI Industry Profits from Catastrophe”, MIT Technology Review, 20 April 2022, republished by the Pulitzer Center. The seventy-five-percent estimate concerns Hive Micro and Spare5 in mid-2018, not the worldwide annotation workforce. Per-task payments are not hourly wage rates.

Billy Perrigo, “150 African Workers for ChatGPT, TikTok and Facebook Vote to Unionize at Landmark Nairobi Meeting”, TIME, 1 May 2023. The report describes a vote to establish and register the union, not completed legal recognition or a collective agreement.

Mary L. Gray and Siddharth Suri, Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass (2019); see also Gray’s “Paradox of Automation’s Last Mile”, 12 January 2019, on on-demand human labor supporting automation. Their argument concerns the organization and visibility of this work, not a guarantee that each displaced worker finds another task.

Erik Brynjolfsson, Bharat Chandar and Ruyu Chen, “Canaries in the Coal Mine?”, August 2026 revision, introduction; see the authors’ August 12 explanation. The nineteen-percent gap compares more- and less-exposed workers of the same age. It shrinks with education controls, includes some preexisting divergent trends and is larger in the ADP sample than in national survey benchmarks. The new headline is a descriptive comparison, not an extension of the earlier sixteen-percent regression estimate.

Goldman Sachs chart reproduced by Carl Quintanilla, October 2026; original chart. Industry-level adoption and changes in employment/unemployment growth, latest three-month averages against 2015–2019. The chart was read; the full research note and regression controls were unavailable. The association is not a causal estimate.

Office of the New York City Comptroller, “AI and New York City’s Fiscal Future”, chart 2 and accompanying text, Current Population Survey. Twelve months ending March 2026; ages 22–27. The comparison does not identify AI’s contribution to unemployment.

Partnership for New York City, “Artificial Intelligence Is Already Reshaping New York City”, October 2, 2026.

Partnership for New York City, “Artificial Intelligence Is Already Reshaping New York City”, October 2, 2026.

Partnership for New York City, “Artificial Intelligence Is Already Reshaping New York City”, October 2, 2026.

Partnership for New York City, “Artificial Intelligence Is Already Reshaping New York City”, October 2, 2026.

Partnership for New York City, “Artificial Intelligence Is Already Reshaping New York City”, October 2, 2026.

Partnership for New York City, “Artificial Intelligence Is Already Reshaping New York City”, October 2, 2026.

Antonin Bergeaud, Antoine Bertheau, Simon Bunel, Oscar Degos and Marco Guido Palladino, “IA générative : un gel des embauches de jeunes dans les métiers exposés”, LIFT Policy Paper 2026-02, HEC Paris, October 2026, with the Banque de France’s companion post “Generative AI: the first changes in the labour market are affecting young people”, October 8, 2026. Data: Dares worker-movement records built from employers’ monthly payroll declarations (DSN), private sector, metropolitan France, January 2019 to March 2026; seasonally adjusted. Exposure scores for the 16,740 skills in France Travail’s ROME 4.0 directory were produced by agents running Claude Opus 4.7. Quotation translated from the French.

Antonin Bergeaud, Antoine Bertheau, Simon Bunel, Oscar Degos and Marco Guido Palladino, “IA générative : un gel des embauches de jeunes dans les métiers exposés”, LIFT Policy Paper 2026-02, HEC Paris, October 2026, with the Banque de France’s companion post “Generative AI: the first changes in the labour market are affecting young people”, October 8, 2026. Data: Dares worker-movement records built from employers’ monthly payroll declarations (DSN), private sector, metropolitan France, January 2019 to March 2026; seasonally adjusted. Exposure scores for the 16,740 skills in France Travail’s ROME 4.0 directory were produced by agents running Claude Opus 4.7. Quotation translated from the French.

Antonin Bergeaud, Antoine Bertheau, Simon Bunel, Oscar Degos and Marco Guido Palladino, “IA générative : un gel des embauches de jeunes dans les métiers exposés”, LIFT Policy Paper 2026-02, HEC Paris, October 2026, with the Banque de France’s companion post “Generative AI: the first changes in the labour market are affecting young people”, October 8, 2026. Data: Dares worker-movement records built from employers’ monthly payroll declarations (DSN), private sector, metropolitan France, January 2019 to March 2026; seasonally adjusted. Exposure scores for the 16,740 skills in France Travail’s ROME 4.0 directory were produced by agents running Claude Opus 4.7. Quotation translated from the French.

Antonin Bergeaud, Antoine Bertheau, Simon Bunel, Oscar Degos and Marco Guido Palladino, “IA générative : un gel des embauches de jeunes dans les métiers exposés”, LIFT Policy Paper 2026-02, HEC Paris, October 2026, with the Banque de France’s companion post “Generative AI: the first changes in the labour market are affecting young people”, October 8, 2026. Data: Dares worker-movement records built from employers’ monthly payroll declarations (DSN), private sector, metropolitan France, January 2019 to March 2026; seasonally adjusted. Exposure scores for the 16,740 skills in France Travail’s ROME 4.0 directory were produced by agents running Claude Opus 4.7. Quotation translated from the French.

Sacha Leclère, “L’IA générative gèle l’embauche des jeunes dans les métiers exposés”, Le Monde, October 8, 2026; quotations translated from the French.

Joseph Cox, “Manifestos, Fear, and ‘Loser Thinking’: Inside Proton’s AI Reckoning”, 404 Media, October 29, 2026; public post reproducing the CTO’s manifesto pages. Source access is limited to the article’s public preview and the publicly reproduced manifesto images; the paywalled remainder is excluded. The preview supplies the Slack exchange, tracking and re-interview plans, employee accounts and company response. The manifesto describes an advocated organization of engineering work. Neither the public reporting nor the manifesto establishes measured changes in productivity or product security.

Joseph Cox, “Manifestos, Fear, and ‘Loser Thinking’: Inside Proton’s AI Reckoning”, 404 Media, October 29, 2026; public post reproducing the CTO’s manifesto pages. Source access is limited to the article’s public preview and the publicly reproduced manifesto images; the paywalled remainder is excluded. The preview supplies the Slack exchange, tracking and re-interview plans, employee accounts and company response. The manifesto describes an advocated organization of engineering work. Neither the public reporting nor the manifesto establishes measured changes in productivity or product security.

Karen J. Brasel et al., “Implementation of Entrustable Professional Activities in General Surgery: Results of a National Pilot Study”, Annals of Surgery 278 (2023), 578–586. The 2018–2020 pilot reported 1,763 summative ratings for 497 residents. Recorded observations per entrustment decision averaged 3.24, with a median of two. Those counts describe implementation of an assessment system; they are not an experimentally established training minimum or all the experience behind a committee’s judgment.

Daron Acemoglu and Jörn-Steffen Pischke, “Beyond Becker: Training in Imperfect Labor Markets”, NBER Working Paper 6740 (1998), introduction, explains why firms can fund even transferable skills under imperfect competition. Eleanor W. Dillon, Lisa B. Kahn, Joanna Venator and Michael Dalton, “Do Workforce Development Programs Bridge the Skills Gap?”, revised April 2026, studies realized grants in eighteen states; the poaching relationship reflects both application and allocation decisions. CITB describes its levy and grant scheme. Grants can reach registered employers exempt from paying the levy; this is not simply reimbursement of each firm’s contribution.

John Maynard Keynes, “Economic Possibilities for our Grandchildren” (1930), part II. The essay anticipates both relative wants that can remain unsatisfied and the difficulty of using leisure well. Its fifteen-hour suggestion concerns sharing remaining work; its economic forecast was conditional, including assumptions about war and population.

Economic Policy Institute, “The Productivity–Pay Gap”, updated 30 July 2026: 1979 Q4–2026 Q1 growth of 93.2 percent in total-economy net productivity and 33.7 percent in average hourly compensation of private-sector production/nonsupervisory workers. Compensation includes wages and benefits; net productivity subtracts depreciation from output. The chart compares aggregate series, not the pay and measured contribution of the same individual.

Fred Hirsch, Social Limits to Growth (1976), chapter 3, pp. 27–29; revised-edition text, Taylor & Francis e-Library, 2005. Hirsch includes absolute or socially imposed scarcity and congestion, not only goods valued for exclusivity. The parent’s decision is an illustration, not a finding that positional competition fixes everyone’s working hours.

Luona Lin and Kim Parker, “U.S. Workers Are More Worried Than Hopeful About Future AI Use in the Workplace”, Pew Research Center, 25 February 2025, sections 2–3 and topline. Fieldwork: 7–13 October 2024; analysis covers 5,273 employed adults with one job or a designated primary job. Worry and hope were separate yes/no items. The speed result is users’ assessment of helpfulness, not a timed productivity experiment.

Marie Jahoda, Paul F. Lazarsfeld and Hans Zeisel, Marienthal: The Sociography of an Unemployed Community (1933; English edition 1971), the study of a village near Vienna after its textile mill closed; Marie Jahoda, Employment and Unemployment: A Social-Psychological Analysis (Cambridge University Press, 1982), which sets out the “latent functions” of employment, among them time structure, shared purpose, status and regular activity. For the later evidence, Karsten I. Paul and Klaus Moser, “Unemployment Impairs Mental Health: Meta-Analyses,” Journal of Vocational Behavior 74, no. 3 (2009): 264–282.

Federal Reserve Board, Report on the Economic Well-Being of U.S. Households in 2025, May 2026, “Generative AI and Methods for Doing Work,” figure 11 and note 15. Fieldwork: October 17–28, 2025. The measure covers workers’ reported job use in the prior month, excluding merely seeing AI search results; it is not paid subscriptions, agent use or a global adoption count.

Adam Grundy, Cory Breaux and Dhanapati Khatiwoda, “Large Firms With at Least 20 Employees Biggest AI Users”, U.S. Census Bureau, May 26, 2026. The article summarizes Business Trends and Outlook Survey observations from December 14, 2025 through May 3, 2026. Its broad use question replaced the narrower goods/services-production wording in November 2025. Neither “any use” nor non-use measures how far a company is from full deployment.

Wix, acquisition announcement, June 18, 2025; Lenny Rachitsky, published introduction to his interview with Shlomo, July 6, 2025. The interview account describes a bootstrapped solo founder and $1M ARR after three weeks. Wix’s initial consideration included employee retention payments, with further performance-dependent earn-outs through 2029; it is not all described here as proceeds to the founder.

Andrej Karpathy, post on X, February 2, 2025.

Andrej Karpathy, “Vibe Coding MenuGen”, April 27, 2025. His first-person account distinguishes a quick local interface from the work of operating a deployed app. The generated dish pictures were illustrative, not photographs of what that restaurant would serve.

Google DeepMind, “Gemini achieves gold-medal level at the International Collegiate Programming Contest World Finals”, September 17, 2025. The model competed remotely under ICPC rules with the organizers’ guidance, starting ten minutes after the human contestants; the finals were held in Baku on September 4.

Michael Truell, Cursor, “Clarifying Our Pricing”, July 4, 2025. The explanation concerns variation in model usage and request cost behind that pricing change. It is not a universal per-request price, a comparison of every provider, or a guarantee that all services can absorb higher usage profitably.

Teach For All, partnership and teacher-project account, January 29, 2026. Bastidas describes the workspaces as being designed, distinct from her completed artifacts. The account does not establish improved pupil outcomes, the share of teachers building software, or a common production time for all three examples.

Anysphere, “Series C and Scale”, June 2025; SpaceX, August 14, 2026 Form 8-K, Item 2.01. The filing records completion, not merely an agreement awaiting approval. Its $60B figure is implied equity value in a share transaction; ARR is the company’s reported annualized measure, not audited annual receipts.

Lovable, “$100M ARR & Lovable Agent”, July 23, 2025. The company measures eight months from its first $1M ARR, not from an independently established launch date. Its separate claims about product performance are not inferred from revenue.

Midjourney, company description, accessed September 7, 2026, “About” and “Careers.” Self-funded is the company’s description. No revenue-per-employee estimate or independently audited funding history is claimed.

Harvard Gazette, Dan Bricklin recounts the origins of VisiCalc, March 2012; Raytheon BBN, Ray Tomlinson on network email, April 23, 2012. The organizational parallels are commentary; no general productivity effect is measured here.

Replit, “The Rise of the Self-Driving Company”, October 2026, updated October 28. Company argument and promotional accounts. No independently controlled measurement of organizational productivity is supplied.

Sebastian Siemiatkowski, public explanation of Klarna’s software consolidation, 2025, main post and his continuation comments. This is the executive’s account, not an independent systems audit.

Siemiatkowski, same post, especially his comments on enterprise controls, knowledge consolidation, new interfaces, and the potential role of existing vendors. His predictions are not reported here as outcomes.

Satya Nadella, BG2 interview, December 12, 2024, discussion of business applications; the relevant excerpt also has a public transcript accompanying a repost. This is Nadella’s proposed direction, not a finding that applications have disappeared.

Zelda Reverse Engineering Team, Ocarina of Time README; Ship of Harkinian README, accessed October 29, 2026. These establish the projects’ stated scope and asset requirements, not that AI produced them or that every use is lawful. U.S. Copyright Office, Circular 61, distinguishes copyrightable expression from functional aspects of software.

Federal Trade Commission, redacted administrative complaint, CDK Global and Auto/Mate, Docket 9382 (2018), ¶¶1, 16–18, 24–31. These are allegations about franchise dealership systems in the challenged transaction, not adjudicated findings or a current market-share estimate.

Dylan Field, “Design: Meet the Internet”, December 3, 2015. The preview offered link sharing, contextual feedback, and shared colors; simultaneous editing was listed as forthcoming. This is a product-design example, not evidence that collaboration began with Figma or that incumbent design work disappeared.

Aditya Challapally et al., The GenAI Divide: State of AI in Business 2025, July 2025, pp. 2, 6–7, 11–12, 24–26. Preliminary research combined public initiatives, interviews representing 52 organizations, and 153 leaders surveyed at conferences. Outcomes were self-reported and definitions varied; the report’s headline is not used here as a population-wide failure rate.

Gartner, “Organizations with Successful AI Initiatives Invest Up to Four Times More in Data and Analytics Foundations”, April 16, 2026. The comparison concerns investment as a share of revenue and reported outcomes, not a controlled test of whether extra spending causes success.

Andrej Karpathy, post on X, June 25, 2025.

AGENTS.md, the format’s home page, accessed October 1, 2026, which describes it as “a README for agents” used by over sixty thousand open-source projects and now stewarded by the Agentic AI Foundation under the Linux Foundation.

Atharv Chandratre and Jai Datar, “Automating Feature-Flag Cleanup at Scale with a Multi-Agent LLM System”, DoorDash Engineering, August 24, 2026. Of the fifty cleanups, fourteen needed one minor revision and five required an engineer to step in; the authors report no bugs or regressions introduced across all fifty. The $460 million trading incident is the post’s own example of why stale flags are dangerous.

Stack Overflow, 2025 Developer Survey, AI results, adoption, accuracy, and agent questions; methodology. Fielded May 29–June 23, 2025, primarily through Stack Overflow’s channels. The adoption and accuracy questions had 33,662 and 33,244 answers respectively. This is a self-selected respondent sample, not a census of professional developers; planned use is included in the eighty-four percent.

Anthropic, “Introducing the Model Context Protocol”, November 25, 2024. The announcement describes an open standard for connecting AI assistants to tools and data sources.

Google, Agent2Agent announcement, April 9, 2025, especially capability discovery and task management; Linux Foundation, A2A project announcement, June 23, 2025. The standard defines exchanges between participating agents; it does not establish their competence.

Mastercard, Agent Pay announcement, April 29, 2025; Visa, Intelligent Commerce announcement, April 30, 2025; Stripe, Agentic Commerce Protocol and Instant Checkout account, September 29, 2025. These describe the programs and launch scope at those dates, not universal merchant acceptance or present availability of every announced flow.

Google, Agent Payments Protocol announcement, September 16, 2025. Its design distinguishes approval of a particular cart from advance authorization under specified conditions. A record of permission does not itself establish that the purchase was wise or the agent interpreted the instructions correctly.

Venkatesh Rao, “Cognitive Mercantilism”, October 2026.

OpenAI, “The EU’s next chapter in AI is agentic”, October 14, 2026. Small and medium businesses are defined as accounts with 200 or fewer associated users. The measure counts weekly active users of two products within the vendor sample. It cannot establish economy-wide penetration or productivity.

U.S. House Committee on Oversight and Government Reform, October 26, 2026 announcement. Establishes the proposal and congressional inquiry; no enacted law, settled liability protection or legal status for an AI system is asserted here.

Feridoon “Doon” Malekzadeh, “AIRA”, accessed October 29, 2026. First-person description of a custom GPT, its intended use and functions; no independent educational efficacy study is supplied.

Míriam González, post on X, September 20, 2026, in Spanish; translations are the author’s. The lesion counts and their validation status are her own account.

Charles Baudelaire, Salon de 1859, section II, in Curiosités esthétiques: “le refuge de tous les peintres manqués, trop mal doués ou trop paresseux pour achever leurs études.” Translation by the author.

Musicians’ Union, “The MU’s 130th Anniversary”, June 20, 2023, the union’s own history of its responses to skiffle, the Hammond organ, synthesizers and DJs.

The Darwin Correspondence Project reproduces Darwin’s June 18, 1858 letter to Lyell and traces the family illness and June 28 death in its 1858–59 correspondence account. The Linnean Society’s history records the July 1 joint presentation. The two theories had important similarities without being identical; their independent development was not simultaneous.

Library of Congress, Alexander Graham Bell Papers timeline, 1870–79, February 14, 1876 entry. The submissions were different kinds of filing, made through attorneys; the passage does not adjudicate the disputed priority of the telephone’s invention.

The Newton Project dates Newton’s early calculus work to the mathematical notebooks and tracts of the 1660s. Frank Swetz’s description and facsimiles of Leibniz’s 1684 paper, Mathematical Association of America, June 2015, document its publication. Merton’s article below treats their work as independent discovery.

Robert K. Merton, “Singletons and Multiples in Scientific Discovery: A Chapter in the Sociology of Science”, Proceedings of the American Philosophical Society 105(5), October 1961, pp. 470–486, especially pp. 477–79 and 483–86. His argument includes discoveries forestalled by earlier publication and explicitly preserves the distinctive contribution of exceptional scientists. It does not make every discovery inevitable or require independent work to occur at the same time.

Michael Polanyi, The Tacit Dimension (1966), “Tacit Knowing,” pp. 4–13; authorized excerpt reproduced by TACK. Polanyi discusses recognition, demonstration and the integration of particulars into skilled performance. Inability to state how one knows something does not establish an absence of patterns, or that learning requires continuous physical proximity.

Walter Brattain’s December 24, 1947 notebook page, reproduced by PBS/AIP; the Computer History Museum dates the demonstration to December 23. Claude Shannon, “A Mathematical Theory of Communication”, Bell System Technical Journal 27 (July/October 1948), introduction. The original point-contact transistor was an amplifier; later transistor designs underlie modern computing. Shannon explicitly credits Tukey for “bits.”

Brian Sutton, “The story behind Photograph 51”, King’s College London, April 14, 2023, drawing on Franklin’s laboratory notebook and the 1953 papers. The exposure ran May 2–6, 1952. Sutton distinguishes diffraction from an ordinary photograph and explains the image’s contribution alongside other data; it did not by itself determine the complete structure.

National Library of Medicine, MEDLINE/PubMed Production Statistics, FY2018 column: 1,329,148 annual PubMed citations, distinct from 904,636 MEDLINE citations indexed. Dividing the PubMed count by 525,600 minutes gives about 2.53 per minute. This is a dated database-production measure, not a count of all new biomedical findings or of papers published at a uniform rate.

Stuart Kauffman explains the concept in his 2005 Edge response, using chemical possibilities one step from an existing system. Steven Johnson describes his adaptation in “Welcome to Adjacent Possible”, October 5, 2021; the publisher dates Where Good Ideas Come From to 2010. The application to AI research here is an argument, not a measured law of discovery.

Fan Hui, Game 2: Invention, with analysis by Gu Li and Zhou Ruiyang, March 2016, especially the Move 37 discussion. DeepMind’s AlphaGo account describes its training and gives the one-in-ten-thousand estimate. That estimate is a model assessment of a move in a particular position, not proof that no human had ever conceived the strategy. AlphaGo won the five-game match 4–1.

Stokes et al., cited above, with their April 16, 2020 correction. Among other repairs, the authors acknowledge a previously deposited, unpublished tuberculosis-growth screen identifying activity of the molecule they renamed halicin. The novelty claim should concern the study’s wider findings, not the molecule’s existence or first observation of any antibacterial effect.

Jonathan M. Stokes et al., “A Deep Learning Approach to Antibiotic Discovery”, Cell 180 (2020): 688–702.e13. The model was trained on 2,335 unique compounds. Halicin came from the 6,111-compound Drug Repurposing Hub, not the separate 107-million-molecule ZINC15 screen. The reported efficacy was preclinical, including mouse infection models; it did not establish treatment benefit in people. MIT News, “Artificial intelligence yields new antibiotic”, February 20, 2020, gives the origin of the name and the molecule’s earlier investigation as a possible diabetes drug.

Gary Liu, Denise B. Catacutan, Khushi Rathod et al., “Deep learning-guided discovery of an antibiotic targeting Acinetobacter baumannii”, Nature Chemical Biology 19 (2023): 1342–1350, published May 25. The experimental training collection and subsequent prediction library were distinct. The selectivity test covered 53 gut/skin isolates, with activity against two at higher concentrations; it was not a demonstration that a patient’s entire microbiome would remain intact. No human efficacy trial was reported.

Google DeepMind’s Protein Design and Wet Lab teams, AlphaProteo research account, September 5, 2024. The reported comparison concerns tested binders and existing design methods, not every human-designed molecule or all protein functions. The authors distinguish successful binding from the additional requirements of practical applications.

Žiga Avsec and Natasha Latysheva, AlphaGenome introduction, June 25, 2025; Avsec et al., published study, Nature 649 (January 2026): 1206–1218. A million-base input does not guarantee accurate prediction of every long-range interaction. The model predicts molecular outcomes; the introduction explicitly excludes direct clinical use and a complete explanation of complex traits or diseases.

Samuel H. King et al., “Generative design of bacteriophages with genome language models”, Science 393 (August 6, 2026), eaec2657; preceded by a September 2025 preprint. The published title omits “novel.” The reported viability is a laboratory result for variants based on one small bacteriophage, not evidence of arbitrary genome design or demonstrated treatment benefit in people.

UNSW, “Paul turns to AI to save his dog from terminal cancer”, June 27, 2025; Paul Conyngham, “Rosie’s story”, accessed October 29, 2026. University account establishes the research collaboration; the owner’s timeline reports December 2025 injection and March 2026 tumor reduction. No cure, controlled efficacy estimate or isolated causal effect of AI is established.

Amy Deng, “I Solved My Mystery Fatigue with AI”, June 16, 2026; first-person OpenAI Forum interview, August 20. Symptoms, process and improvement are self-reported; concurrent clinical and dietary changes prevent isolating AI’s contribution.

Courtney Hofmann and Holly Gilmer, “Partners in Diagnosis”, NEJM AI Grand Rounds, joint interview. Full publisher transcript checked October 28. Hofmann entered records as text, explored several hypotheses and consulted parent groups; Gilmer ordered the relevant imaging and diagnosed the condition. Reported improvement follows surgery; this account does not isolate AI’s clinical effect.

Anthropic, “Claude discovers a novel enzyme system with CRISPR-like repeats”, September 23, 2026, and the accompanying preprint, Yoon et al., “Autonomous AI agents discover reverse transcriptases with tandem repeat arrays”. Anthropic states that the underlying enzyme had been identified in earlier studies, that the system’s function is not yet known, and that human scientists did all the lab work. Feng Zhang’s comment appears in the same post. Lucas Harrington, post on X, September 23, 2026.

Anthropic, “Claude discovers a novel enzyme system with CRISPR-like repeats”, September 23, 2026, and the accompanying preprint, Yoon et al., “Autonomous AI agents discover reverse transcriptases with tandem repeat arrays”. Anthropic states that the underlying enzyme had been identified in earlier studies, that the system’s function is not yet known, and that human scientists did all the lab work. Feng Zhang’s comment appears in the same post. Lucas Harrington, post on X, September 23, 2026.

Edison Scientific and FutureHouse, The Millennium Problems for Biology, launched September 19, 2026, and FutureHouse’s announcement. The list proposes targets; it reports no results.

Remi Lam et al., “Learning skillful medium-range global weather forecasting”, Science (2023), and Lam’s November 14 project account. The evaluation comprised 1,380 variable/lead-time targets against a deterministic forecasting system. The reported under-one-minute runtime uses a TPU v4 and excludes model training; ERA5 reanalysis incorporates physics-based modeling. It is not a claim of physics-free data, universal superiority or total end-to-end forecasting cost.

Jonas Degrave, Federico Felici et al., “Magnetic control of tokamak plasmas through deep reinforcement learning”, Nature 602 (2022): 414–419, published February 16. See the control architecture and multi-domain demonstration. Conventional control created the initial plasma before handover; the learned controllers were transferred from simulation without further weight tuning on the machine. This was a research-control result, not electricity generation or a complete fusion-reactor demonstration. DeepMind’s “Accelerating fusion science through learned plasma control”, February 16, 2022, describes TCV’s experiments of up to three seconds with fifteen-minute resets, and conventional control using separate controllers for each of its 19 coils.

Jaemin Seo, SangKyeun Kim et al., “Avoiding fusion plasma tearing instability with deep reinforcement learning”, Nature 626 (2024): 746–751, published February 21. The main results and figure 4 distinguish successful avoidance runs from the failed low-threshold run. The 300-millisecond prediction was identified in post-analysis of that failure; the authors describe the overall work as an early proof of concept.

Dario Amodei, post on X, September 23, 2026. The year-by-year sequence is his characterization. Google DeepMind, “AI achieves silver-medal standard solving International Mathematical Olympiad problems”, July 25, 2024 (28 of 42 points; the gold threshold was 29), and “Advanced version of Gemini with Deep Think officially achieves gold-medal standard at the International Mathematical Olympiad”, July 21, 2025. The 2024 systems worked in a formal language; the 2025 result was graded by the competition’s coordinators.

Terence Tao, “Embracing change and resetting expectations”, Microsoft AI Anthology, June 12, 2023. The anthology’s contributors wrote with early access to GPT-4 at Microsoft’s invitation.

Google DeepMind, AlphaEvolve announcement, May 14, 2025; Alexander Novikov et al., AlphaEvolve white paper, section 3.1, table 2 and footnote 3. The record concerns tensor-decomposition algorithms that can be applied recursively. Other, non-recursive methods had used fewer multiplications. The result uses complex arithmetic and does not establish a universal improvement in elapsed computing time. The same announcement reports a data-center scheduling heuristic that, in production for over a year, recovers on average 0.7 percent of Google’s worldwide compute resources.

Timothy Gowers, “A recent experience with ChatGPT 5.5 Pro”, May 8, 2026, including Isaac Rajagopal’s guest assessment. The 17-minute construction concerns an earlier case; Gowers’s under-two-hour/PhD-chapter judgment concerns the later extension.

Gowers, same post, “Tim on what this means for mathematical research.” His prediction explicitly allows human–AI collaboration and leaves its generality across mathematical fields uncertain.

OpenAI, May 20, 2026 announcement; Noga Alon et al., Remarks on the Disproof of the Unit Distance Conjecture, introduction. The latter supplies a human-checked, simplified and generalized proof. The problem was raised in 1946; the result disproves the conjectured near-linear upper bound rather than determining the exact optimum. Number-field approaches had precedents; this was not their first connection to geometry.

“Analytic non-axisymmetric 3D MHD equilibria without stellarator symmetry”, October 2026, conclusions and AI-use disclosure. Agent-proposed extensions, independently re-derived and symbolically checked by the authors. Mathematical solutions and solver benchmarks, without experimental fusion performance demonstrated.

Ott-Heinrich Keller, “Ganze Cremona-Transformationen”, Monatshefte für Mathematik und Physik 47 (1939): 299–306. For the formulation over complex numbers and the local/global distinction, see the opening of Tao’s July 21, 2026 exposition. The hypothesis is a nonzero constant Jacobian determinant, not simply a curve that never turns.

Tao, “A digestion of the Jacobian conjecture counterexample”, July 21, 2026; Shuhong Gao, “Counterexamples to the Jacobian conjecture in dimensions greater than two”, submitted July 31, introduction and section 3.4. Gao dates Alpöge’s announcement to July 19 and subsequent contributions by Gallagher and Speyer to July 20 and 23. An exact-arithmetic check for this edition reproduced the map’s constant determinant −2 and its three distinct inputs with common image (−1/4, 0, 0). This verifies those identities; it is not a claim to have independently reviewed every later generalization.

OpenAI, “Ten advances in mathematics and theoretical computer science”, 1 August 2026, and its Lean repository. The company accepts responsibility for correctness while attributing the arguments to its model. Independent assessment has begun: Mikołaj and Krzysztof Sienicki’s audit of the quantum parallel-repetition argument, revised 25 August, withdrew an alleged error after finding that PDF text extraction had dropped a mathematical overbar. That episode neither invalidates nor independently certifies the entire collection. The account here does not claim to have rerun all ten formalizations.

Binghui Peng, project announcement, and the authors’ Pipeline Math repository. The announcement identifies GPT-5.5 Pro as solver and Claude Opus 4.8 as verifier, marks the measured-output quantum-circuit result partial, and reports separate Lean formalizations of four commutative-algebra results. These are the authors’ descriptions and public artifacts, not an independent certification of the whole collection.

AI contributions to Erdős problems, archived at June 30, 2026; status colors appear in an “Outcome” column. The wiki warns against treating it as a benchmark. Separately, Tao’s November 5, 2025 account describes experiments on 67 solved and unsolved problems, with positive and negative findings—not 67 new solutions.

OpenAI, “On the Navier–Stokes Millennium Prize Problem”, September 8, 2026, with links to the paper and Lean formalization; Clay Mathematics Institute, Millennium Prize Problems. OpenAI reports establishing statements C and D of the official problem description, the 88-hour and 17-hour timings, a group of “on the order of 10,000 concurrent agents,” and its account of the concurrent Alpöge–Buckmaster work on forced Euler. Buckmaster has published an account that differs from OpenAI’s; see Aaronson, below. Clay’s own evaluation is separate from OpenAI’s announcement.

OpenAI, “On the Navier–Stokes Millennium Prize Problem”, September 8, 2026, with links to the paper and Lean formalization; Clay Mathematics Institute, Millennium Prize Problems. OpenAI reports establishing statements C and D of the official problem description, the 88-hour and 17-hour timings, a group of “on the order of 10,000 concurrent agents,” and its account of the concurrent Alpöge–Buckmaster work on forced Euler. Buckmaster has published an account that differs from OpenAI’s; see Aaronson, below. Clay’s own evaluation is separate from OpenAI’s announcement.

“Open Letter to Sir Paul Nurse, President of the Royal Society”, signed by 42 Mathematical Fellows and Foreign Members of the Royal Society, circulated September 16, 2026. The letter presents its inference about other domains as an assumption (“we must assume”), and its second note says the signatories “cannot be sure of the exact methodology behind the solution.”

Terence Tao et al., “A Severe Misalignment of AI in Mathematics”, September 11, 2026, a declaration with 25 initial signatories, all Fields medalists; a French version appeared in Le Monde. Tao notes it was released without a consultative process because of the urgency the signers felt.

David Larousserie, “Les avancées de l’IA provoquent une crise inédite chez les mathématiciens”, Le Monde, September 18, 2026, the original publication of Villani’s remark; Les Numériques, “‘C’est un cataclysme’: Cédric Villani et 24 autres médaillés Fields se disent secoués par la percée mathématique de l’IA”, September 2026, quoting Villani’s June remark and his later reaction. Translations here are the author’s.

Scott Aaronson, “The Age of Wonders and Terrors”, Shtetl-Optimized, September 15, 2026. Aaronson notes that the case with no external force is unresolved, gives the solution’s length as 166 pages, and links Tristan Buckmaster’s account of his and Alpöge’s role.

OpenAI, “Sharing AI progress in mathematics”, October 6, 2026; repository and release history, checked October 29. Current catalogue: 721 manuscripts, 373 families. Many, not all, proofs have Lean formalizations; reported average compute is a Pro-thinking equivalent. Withdrawals occurred October 7 and two additions October 26.

OpenAI, “Sharing AI progress in mathematics”, October 6, 2026; repository and release history, checked October 29. Current catalogue: 721 manuscripts, 373 families. Many, not all, proofs have Lean formalizations; reported average compute is a Pro-thinking equivalent. Withdrawals occurred October 7 and two additions October 26.

Scott Aaronson, “The Mathocalypse”, Shtetl-Optimized, October 7, 2026.

Scott Aaronson, “The Mathocalypse”, Shtetl-Optimized, October 7, 2026.

Scott Aaronson, “The Mathocalypse”, Shtetl-Optimized, October 7, 2026.

Scott Aaronson, “The Mathocalypse”, Shtetl-Optimized, October 7, 2026.

Scott Aaronson, “The Mathocalypse”, Shtetl-Optimized, October 7, 2026.

Sylvia Serfaty, October 9, 2026 discussion at the Maison Poincaré; Sorbonne event listing. Recorded excerpts.

Simons Foundation, “Simons Foundation Launches $15M Effort To Help Mathematicians Navigate AI Era”, October 15, 2026. Combined funding and resources, including model/computing access; the announced value is distinct from cash already disbursed.

Justin Drake, post on X, October 7, 2026; Decrypt, October 7, 2026.

Justin Drake, post on X, October 7, 2026; Decrypt, October 7, 2026.

Justin Drake, post on X, October 7, 2026; Decrypt, October 7, 2026.

Zygimantas Straznickas and Stephen A. Weis, “HAWK-n Key Recovery Reduces to SVP in Dimension n/2 + 1”, especially abstract and introduction; Anthropic’s 28 July 2026 research account. The gate-count estimate is not a measured HAWK-512 wall-clock runtime. Léo Ducas’s 29 July message on behalf of the HAWK team confirms the attack and withdrawal; NIST records the withdrawal. HAWK is a digital-signature scheme, not a confidentiality cipher, and this result does not break other post-quantum standards.

Royal Swedish Academy of Sciences, 2024 Nobel Prize in Chemistry announcement, 9 October 2024. Half the prize went to Baker and the other half jointly to Hassabis and Jumper. The discussion of future attribution is the author’s argument, not an announced change in prize rules.

Amil Merchant et al., “Scaling deep learning for materials discovery”, Nature 624 (29 November 2023), 80–85. Anthony K. Cheetham and Ram Seshadri, “Artificial Intelligence Driving Materials Discovery?”, Chemistry of Materials 36 (8 April 2024), 3490–95. The critique combines selected-entry inspection with catalog-level statistics; it is not an experimental test of every prediction. Its structural-ordering objection concerns the relation between computational representations and physical materials.

Nathan J. Szymanski et al., “An autonomous laboratory for the accelerated synthesis of inorganic materials”, Nature 624 (29 November 2023), 86–91; author correction, 19 January 2026. Josh Leeman et al., “Challenges in High-Throughput Inorganic Materials Prediction and Autonomous Synthesis”, PRX Energy 3 (7 March 2024), 011002. The critics’ no-novelty conclusion and the authors’ narrower definition are distinct positions; the correction does not itself prove that every product was previously known.

Mingze Li et al., “Agentic Fusion of Large Atomic and Language Models to Accelerate Superconductor Discovery”, first submitted 26 April 2026, revised 4 May. The preprint reports experimental measurements as well as predictions, and distinguishes retrieval, structural reinterpretation and generation. Sections 2.6 and 4.7 describe unsuccessful predictions and manual verification. The account here attributes the results to the team; it does not establish independent replication or practical high-temperature superconductivity.

Vals AI, “Two Room-Temperature Antiferromagnetic Semiconductor Candidates”, October 4, 2026.

Vals AI, compensated-magnet-ledger repository, README, October 2026.

Pavel Rabtsevich, “Two Transit-like Signals in TESS Photometry of the Nearby K Dwarf TIC 4206066”, Zenodo preprint, September 25, 2026; preregistered predictions, October 6, 2026; TESS Director’s Discretionary Time programs, program 100; u/This_Cell_1829, “I think I found a planet nobody knew existed. I used Claude Code to find it,” r/ClaudeAI, October 7, 2026, with the author’s comments.

Pavel Rabtsevich, thread on X, October 7, 2026.

Pavel Rabtsevich, “Two Transit-like Signals in TESS Photometry of the Nearby K Dwarf TIC 4206066”, Zenodo preprint, September 25, 2026; preregistered predictions, October 6, 2026; TESS Director’s Discretionary Time programs, program 100; u/This_Cell_1829, “I think I found a planet nobody knew existed. I used Claude Code to find it,” r/ClaudeAI, October 7, 2026, with the author’s comments.

Pavel Rabtsevich, “Two Transit-like Signals in TESS Photometry of the Nearby K Dwarf TIC 4206066”, Zenodo preprint, September 25, 2026; preregistered predictions, October 6, 2026; TESS Director’s Discretionary Time programs, program 100; u/This_Cell_1829, “I think I found a planet nobody knew existed. I used Claude Code to find it,” r/ClaudeAI, October 7, 2026, with the author’s comments.

Pavel Rabtsevich, “Two Transit-like Signals in TESS Photometry of the Nearby K Dwarf TIC 4206066”, Zenodo preprint, September 25, 2026; preregistered predictions, October 6, 2026; TESS Director’s Discretionary Time programs, program 100; u/This_Cell_1829, “I think I found a planet nobody knew existed. I used Claude Code to find it,” r/ClaudeAI, October 7, 2026, with the author’s comments.

Pavel Rabtsevich, “Two Transit-like Signals in TESS Photometry of the Nearby K Dwarf TIC 4206066”, Zenodo preprint, September 25, 2026; preregistered predictions, October 6, 2026; TESS Director’s Discretionary Time programs, program 100; u/This_Cell_1829, “I think I found a planet nobody knew existed. I used Claude Code to find it,” r/ClaudeAI, October 7, 2026, with the author’s comments.

Pavel Rabtsevich, “Two Transit-like Signals in TESS Photometry of the Nearby K Dwarf TIC 4206066”, Zenodo preprint, September 25, 2026; preregistered predictions, October 6, 2026; TESS Director’s Discretionary Time programs, program 100; u/This_Cell_1829, “I think I found a planet nobody knew existed. I used Claude Code to find it,” r/ClaudeAI, October 7, 2026, with the author’s comments.

Pavel Rabtsevich, “Two Transit-like Signals in TESS Photometry of the Nearby K Dwarf TIC 4206066”, Zenodo preprint, September 25, 2026; preregistered predictions, October 6, 2026; TESS Director’s Discretionary Time programs, program 100; u/This_Cell_1829, “I think I found a planet nobody knew existed. I used Claude Code to find it,” r/ClaudeAI, October 7, 2026, with the author’s comments.

Pavel Rabtsevich, “Two Transit-like Signals in TESS Photometry of the Nearby K Dwarf TIC 4206066”, Zenodo preprint, September 25, 2026; preregistered predictions, October 6, 2026; TESS Director’s Discretionary Time programs, program 100; u/This_Cell_1829, “I think I found a planet nobody knew existed. I used Claude Code to find it,” r/ClaudeAI, October 7, 2026, with the author’s comments.

Pavel Rabtsevich, “Two Transit-like Signals in TESS Photometry of the Nearby K Dwarf TIC 4206066”, Zenodo preprint, September 25, 2026; preregistered predictions, October 6, 2026; TESS Director’s Discretionary Time programs, program 100; u/This_Cell_1829, “I think I found a planet nobody knew existed. I used Claude Code to find it,” r/ClaudeAI, October 7, 2026, with the author’s comments.

Pavel Rabtsevich, thread on X, October 7, 2026.

Pavel Rabtsevich, “Two Transit-like Signals in TESS Photometry of the Nearby K Dwarf TIC 4206066”, Zenodo preprint, September 25, 2026; preregistered predictions, October 6, 2026; TESS Director’s Discretionary Time programs, program 100; u/This_Cell_1829, “I think I found a planet nobody knew existed. I used Claude Code to find it,” r/ClaudeAI, October 7, 2026, with the author’s comments.

Sayash Kapoor and Arvind Narayanan, “Leakage and the reproducibility crisis in machine-learning-based science”, Patterns 4 (8 September 2023), 100804. The published survey identifies twenty-two reports covering 294 affected papers across seventeen fields; 329 was an earlier preprint count. The authors separately reproduced civil-war prediction studies. Their taxonomy includes failures in data collection, preprocessing and evaluation, beyond direct overlap between training and test examples.

Chris Lu et al., “The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery”, 12 August 2024; the paper’s cost discussion concerns small computational experiments and predominantly model charges, not an all-in research budget. Joeran Beel, Min-Yen Kan and Moritz Baumgart, “Evaluating Sakana’s AI Scientist: Bold Claims, Mixed Results, and a Promising Future?”, first submitted 20 February 2025, revised 15 October. Their evaluation used one dataset, template and research domain; its failures do not establish a failure rate for every configuration or later version.

Todd Wallack, “Using AI, a professor wrote 200 papers this year. Researchers are alarmed.”, Washington Post, September 23, 2026. The summary here follows the article’s headline and subheading; the professor’s own account is in the article.

Fabio Urbina, Filippa Lentzos, Cédric Invernizzi and Sean Ekins, “Dual use of artificial-intelligence-powered drug discovery”, Nature Machine Intelligence 4 (March 2022): 189–191. The authors’ institution confirms that no physical molecules were made. This was a computational risk demonstration, not experimental validation of a stockpile of new chemical weapons.

Vals AI, compensated-magnet-ledger repository, README, October 2026.

Vals AI, compensated-magnet-ledger repository, README, October 2026.

American Chemical Society, “Discovery and Development of Penicillin”, International Historic Chemical Landmark. It dates Fleming’s observation to September 3, 1928, and the Oxford team’s purification work to 1939.

American Chemical Society, “Discovery and Development of Penicillin”, International Historic Chemical Landmark. It dates Fleming’s observation to September 3, 1928, and the Oxford team’s purification work to 1939.

Terence Tao, “Mathematics in the age of AI”, submitted August 17, 2026, especially sections 6–8. The essay develops a conditional argument about the profession, distinguishing proof verification, exposition and collective understanding.

Scott Aaronson, “The Age of Wonders and Terrors”, Shtetl-Optimized, September 15, 2026. Aaronson notes that the case with no external force is unresolved, gives the solution’s length as 166 pages, and links Tristan Buckmaster’s account of his and Alpöge’s role.

Carter Church, “Breaking the Marmont Cipher, 1809”, September 18, 2026. Earlier partial key: 33 published values. Author reports six hours of model time; five signs remain uncertain.

Don R. Swanson, “Fish Oil, Raynaud’s Syndrome, and Undiscovered Public Knowledge,” Perspectives in Biology and Medicine 30, no. 1 (1986): 7–18; and “Undiscovered Public Knowledge,” Library Quarterly 56, no. 2 (1986): 103–18. His career and the original database searches are described in the University of Chicago’s 2012 obituary.

R. A. DiGiacomo, J. M. Kremer, and D. M. Shah, “Fish-oil Dietary Supplementation in Patients with Raynaud’s Phenomenon,” American Journal of Medicine 86, no. 2 (1989): 158–64. Participants received fish oil or an olive-oil placebo. The reported benefit concerned responses to controlled cold exposure in primary Raynaud’s; the study did not establish a cure or a benefit in secondary Raynaud’s.

DiGiacomo et al.’s trial assessed patients at baseline and at six, twelve, and seventeen weeks. Both groups received olive oil from week twelve onward. The interval between the hypothesis paper and the trial report is a publication chronology, not the trial’s follow-up period.

Don R. Swanson, “Migraine and Magnesium: Eleven Neglected Connections,” Perspectives in Biology and Medicine 31, no. 4 (1988): 526–57. The proposal concerned a possible contribution to migraine, not a single explanation for the disorder.

Don R. Swanson and Neil R. Smalheiser, “Undiscovered Public Knowledge: A Ten-Year Update,” KDD-96 Proceedings (1996): 295–98. Their ABC scheme generates hypotheses; its links need not establish a transitive causal relationship. They also describe the computer-assisted Arrowsmith system.

John P. A. Ioannidis, “Why Most Published Research Findings Are False,” PLOS Medicine 2, no. 8 (2005): e124. The argument models how a significant result’s probability of being true depends on prior odds, statistical power, bias and repeated testing. The title is not an empirical estimate of the share of all published papers that are false.

Open Science Collaboration, “Estimating the Reproducibility of Psychological Science,” Science 349 (2015): aac4716, table 1. The 35/97 comparison excludes three original null findings. Four borderline original results were counted as positive because their authors interpreted them that way. Mean effect sizes, available for 97 pairs, were 0.403 originally and 0.197 on replication. The authors emphasize that significance alone does not decide whether a finding has replicated.

C. Glenn Begley and Lee M. Ellis, “Raise Standards for Preclinical Cancer Research,” Nature 483 (2012): 531–33. The 53 papers were selected for novel findings relevant to Amgen’s work, not randomly sampled from cancer research. The authors’ criterion included sufficient robustness to support a drug-development program; unsuccessful confirmation was not proof that every reported observation was false.

Florian Prinz, Thomas Schlange, and Khusru Asadullah, “Believe It or Not: How Much Can We Rely on Published Data on Potential Drug Targets?” Nature Reviews Drug Discovery 10 (2011): 712. A questionnaire to laboratory heads covered 67 projects, 47 in oncology. The roughly 20–25% figure describes complete agreement between relevant literature and internal findings; other categories included partial reproduction. This was a company project survey, not a random sample of published studies.

Leonard P. Freedman, Iain M. Cockburn, and Timothy S. Simcoe, “The Economics of Reproducibility in Preclinical Research,” PLOS Biology 13 (2015): e1002165. The calculation applied a 50% irreproducibility assumption to estimated annual preclinical spending of $56.4 billion. Its probability bounds were wide, and the authors explicitly distinguish irreproducible work from work yielding no value. The $28 billion is a dated estimate, not a current expenditure measure.

Campbell R. Harvey, Yan Liu, and Heqing Zhu, “… and the Cross-Section of Expected Returns,” Review of Financial Studies 29 (2016): 5–68. Their 316 factors came from 250 published articles and 63 working papers. They recommend a t-statistic above 3 for new factors under their framework, with qualifications for theory-driven and conditional tests. Cochrane’s phrase appears in “Discount Rates,” his 2011 presidential address, published in Journal of Finance 66: 1047–1108.

Kewei Hou, Chen Xue, and Lu Zhang, “Replicating Anomalies,” Review of Financial Studies 33 (2020): 2019–2133. The 65% result uses NYSE size breakpoints and value-weighted returns to limit microcaps’ influence, with an absolute t-statistic threshold of 1.96. At the authors’ multiple-testing threshold of 2.78, 82% failed. These are results under specified portfolio-construction and testing choices, not exact repetitions of every original analysis.

Tuan Dung Nguyen et al., “AstroLLaMA: Towards Specialized Foundation Models in Astronomy,” September 12, 2023 preprint. The dataset contained abstracts from 326,238 arXiv astrophysics articles, with 20% reserved for testing. It was not the full literature of astronomy. The authors identify invented numerical data and other knowledge gaps among the model’s limitations.

Simon Levey, “Google’s AI Co-scientist Could Enhance Research, Say Imperial Researchers,” Imperial College London, February 19, 2025. The researchers deliberately chose a question for which recent laboratory work supplied an experimental comparison.

Juraj Gottweis and Vivek Natarajan, “Accelerating Scientific Breakthroughs with an AI Co-scientist,” Google Research, February 19, 2025. Google’s account distinguishes the system’s proposal from the laboratory’s prior validation and states that the discovery was unavailable in the public literature when tested.

Dias da Costa’s account appears in Imperial’s report. The institution’s later account of the published research describes hypotheses generated in days that mirrored experimentally established ideas. Penadés’s account of asking to be left alone and writing to Google is from Tom Gerken, “AI cracks superbug problem in two days that took scientists years”, BBC News, February 20, 2025, quoting his interview on BBC Radio 4’s Today programme; the same report notes that the decade included the years spent proving the result and gives the researchers’ view that the hypothesis would have saved years of work.

Counts made for this edition from Singapore Statutes Online and the eLitigation judgment index, August–September 2026: 523 of a site-reported 524 current Acts, parsed to 29,684 provisions, against 15,118 reported judgments from 1965 to 2026, of which 174 come from the State Courts and tribunals (163 of them from 2025–26). The final pass found no citation for 25,163 provisions (84.8%); earlier passes gave 88.4%, 86.5% and 84.9% as parser errors were found and corrected. Missed references and false matches both remain possible, so the share describes the published record approximately and does not measure how much law is used. Penal Code: 290 of 582 sections uncited. Malta: 465 live chapters and 19,264 provisions, with judgments read from the courts’ own service; among judgments citing exactly one instrument, the Herfindahl index of the citation distribution inverts to an effective count of 5.1 instruments for Malta and 17.5 for Singapore. The foreign-citation rate was measured on 400 Singapore judgments. Working files and a data-integrity log are kept with the author’s research records.

Counts made for this edition from Singapore Statutes Online and the eLitigation judgment index, August–September 2026: 523 of a site-reported 524 current Acts, parsed to 29,684 provisions, against 15,118 reported judgments from 1965 to 2026, of which 174 come from the State Courts and tribunals (163 of them from 2025–26). The final pass found no citation for 25,163 provisions (84.8%); earlier passes gave 88.4%, 86.5% and 84.9% as parser errors were found and corrected. Missed references and false matches both remain possible, so the share describes the published record approximately and does not measure how much law is used. Penal Code: 290 of 582 sections uncited. Malta: 465 live chapters and 19,264 provisions, with judgments read from the courts’ own service; among judgments citing exactly one instrument, the Herfindahl index of the citation distribution inverts to an effective count of 5.1 instruments for Malta and 17.5 for Singapore. The foreign-citation rate was measured on 400 Singapore judgments. Working files and a data-integrity log are kept with the author’s research records.

Counts made for this edition from Singapore Statutes Online and the eLitigation judgment index, August–September 2026: 523 of a site-reported 524 current Acts, parsed to 29,684 provisions, against 15,118 reported judgments from 1965 to 2026, of which 174 come from the State Courts and tribunals (163 of them from 2025–26). The final pass found no citation for 25,163 provisions (84.8%); earlier passes gave 88.4%, 86.5% and 84.9% as parser errors were found and corrected. Missed references and false matches both remain possible, so the share describes the published record approximately and does not measure how much law is used. Penal Code: 290 of 582 sections uncited. Malta: 465 live chapters and 19,264 provisions, with judgments read from the courts’ own service; among judgments citing exactly one instrument, the Herfindahl index of the citation distribution inverts to an effective count of 5.1 instruments for Malta and 17.5 for Singapore. The foreign-citation rate was measured on 400 Singapore judgments. Working files and a data-integrity log are kept with the author’s research records.

Jeyaretnam Kenneth Andrew v Attorney-General, [2013] SGCA 56, especially [11] and [60]–[66], addressing both the meaning of Article 144 and standing; and Constitutional Reference No 1 of 1995, [1995] SGCT 1, especially [1]–[10] and [50]–[60], decided by Yong Pung How CJ with Karthigesu and L P Thean JJA, with Joseph Grimberg and Walter Woon appointed for the Presidency. Constitution counts are from the same corpus as the Singapore statute counts in the earlier note: 244 Articles, 234 live, 100 cited and 140 not, after a parser correction for the abbreviation “Art,” which Singapore judgments prefer to the full word 1,277 times to 412. The Article 5(2A) history is Singapore Statutes Online’s own annotation: the 1991 provision “was also not in operation at the date of its repeal by Act 41/96,” and its replacement is marked not in operation on the reprint valid at 1 April 2017.

Jeyaretnam Kenneth Andrew v Attorney-General, [2013] SGCA 56, especially [11] and [60]–[66], addressing both the meaning of Article 144 and standing; and Constitutional Reference No 1 of 1995, [1995] SGCT 1, especially [1]–[10] and [50]–[60], decided by Yong Pung How CJ with Karthigesu and L P Thean JJA, with Joseph Grimberg and Walter Woon appointed for the Presidency. Constitution counts are from the same corpus as the Singapore statute counts in the earlier note: 244 Articles, 234 live, 100 cited and 140 not, after a parser correction for the abbreviation “Art,” which Singapore judgments prefer to the full word 1,277 times to 412. The Article 5(2A) history is Singapore Statutes Online’s own annotation: the 1991 provision “was also not in operation at the date of its repeal by Act 41/96,” and its replacement is marked not in operation on the reprint valid at 1 April 2017.

Jeyaretnam Kenneth Andrew v Attorney-General, [2013] SGCA 56, especially [11] and [60]–[66], addressing both the meaning of Article 144 and standing; and Constitutional Reference No 1 of 1995, [1995] SGCT 1, especially [1]–[10] and [50]–[60], decided by Yong Pung How CJ with Karthigesu and L P Thean JJA, with Joseph Grimberg and Walter Woon appointed for the Presidency. Constitution counts are from the same corpus as the Singapore statute counts in the earlier note: 244 Articles, 234 live, 100 cited and 140 not, after a parser correction for the abbreviation “Art,” which Singapore judgments prefer to the full word 1,277 times to 412. The Article 5(2A) history is Singapore Statutes Online’s own annotation: the 1991 provision “was also not in operation at the date of its repeal by Act 41/96,” and its replacement is marked not in operation on the reprint valid at 1 April 2017.

Every English judgment and order published by the AIFC Court at court.aifc.kz, 302 decisions dated 25 April 2019 to 29 September 2026, and the AIFC statute book as published at aifc.kz, read in full in October 2026 with the model’s case records spot-checked against the source texts; Naftogaz of Ukraine v Gazprom, AIFC-C/CFI/2026/0002 (15 May 2026; set aside 7 July 2026); Posco v National Centre for Complex Processing of Mineral Raw Materials, AIFC-C/CFI/2025/0066 (27 May 2026), paras 4.16 and 4.22; AIFC Constitutional Statute art. 14(4), English text as published on the AIFC websites. Court counts: 69 decisions use the template sentence, first on 11 May 2020; 22 of 76 decisions dated 2025.

Every English judgment and order published by the AIFC Court at court.aifc.kz, 302 decisions dated 25 April 2019 to 29 September 2026, and the AIFC statute book as published at aifc.kz, read in full in October 2026 with the model’s case records spot-checked against the source texts; Naftogaz of Ukraine v Gazprom, AIFC-C/CFI/2026/0002 (15 May 2026; set aside 7 July 2026); Posco v National Centre for Complex Processing of Mineral Raw Materials, AIFC-C/CFI/2025/0066 (27 May 2026), paras 4.16 and 4.22; AIFC Constitutional Statute art. 14(4), English text as published on the AIFC websites. Court counts: 69 decisions use the template sentence, first on 11 May 2020; 22 of 76 decisions dated 2025.

Every English judgment and order published by the AIFC Court at court.aifc.kz, 302 decisions dated 25 April 2019 to 29 September 2026, and the AIFC statute book as published at aifc.kz, read in full in October 2026 with the model’s case records spot-checked against the source texts; Naftogaz of Ukraine v Gazprom, AIFC-C/CFI/2026/0002 (15 May 2026; set aside 7 July 2026); Posco v National Centre for Complex Processing of Mineral Raw Materials, AIFC-C/CFI/2025/0066 (27 May 2026), paras 4.16 and 4.22; AIFC Constitutional Statute art. 14(4), English text as published on the AIFC websites. Court counts: 69 decisions use the template sentence, first on 11 May 2020; 22 of 76 decisions dated 2025.

Every English judgment and order published by the AIFC Court at court.aifc.kz, 302 decisions dated 25 April 2019 to 29 September 2026, and the AIFC statute book as published at aifc.kz, read in full in October 2026 with the model’s case records spot-checked against the source texts; Naftogaz of Ukraine v Gazprom, AIFC-C/CFI/2026/0002 (15 May 2026; set aside 7 July 2026); Posco v National Centre for Complex Processing of Mineral Raw Materials, AIFC-C/CFI/2025/0066 (27 May 2026), paras 4.16 and 4.22; AIFC Constitutional Statute art. 14(4), English text as published on the AIFC websites. Court counts: 69 decisions use the template sentence, first on 11 May 2020; 22 of 76 decisions dated 2025.

Abbi Abdel-Rehim et al., “Scientific Hypothesis Generation by Large Language Models: Laboratory Validation in Breast Cancer Treatment,” Journal of the Royal Society Interface 22 (2025): 20240674, especially table 2. The comparison involved a cancer cell line and a non-tumorigenic cell line, not treated patients; cell selectivity does not establish clinical safety or efficacy. Table 1 lists disulfiram with simvastatin as the model’s first proposed pair; in the second iteration GPT-4 proposed four new combinations from the first round’s results, and three showed positive synergy.

Abdel-Rehim et al.’s study used highest-single-agent (HSA) scoring, which compares a combination’s effect with the better individual drug’s effect. Its experimental controls tested drug action, not whether model-generated hypotheses outperform human-generated ones. Some of the model’s biological explanations were wrong even where a proposed combination warranted investigation.

Ali Essam Ghareeb et al., “Robin: A Multi-agent System for Automating Scientific Discovery,” May 19, 2025 preprint. The candidate was ripasudil. Section 2.2.3 reports a 7.5-fold increase in a cellular measure under the automated analysis, but a 1.75-fold increase under human analysis. The paper also describes the human work needed to turn experimental outlines into laboratory procedures.

Michael D. Skarlinski et al., “Language Agents Achieve Superhuman Synthesis of Scientific Knowledge,” September 2024 preprint, §§5 and 8.4.2. ContraCrow, built on PaperQA2, flagged 2.34 contradictions per paper on average. The 93 papers were the successfully parsed portion of 100 sampled from the team’s biology database. A separate task withholding the model’s reasoning yielded lower human–model agreement; the 70% figure is specific to the validation task.

Oz Amram, “Physics in the age of LLMs”, September 21, 2026. Amram adds that the model reviews are imperfect and sometimes produce “wrong/meaningless but ‘right-sounding’ things.”

Harvard Library Innovation Lab, Caselaw Access Project. Digitization with Ravel Law ran from 2013 to 2018; the lab describes over 6.7 million cases spanning 360 years. Its March 2024 announcement marks the collection’s unrestricted release. Published decisions are not the whole court record: filings, unreported dispositions and other legal materials fall outside that description.

Varun Magesh et al., “Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools,” May 30, 2024 preprint, §§5–7. The study used 202 queries and tested Lexis+ AI, Ask Practical Law AI and Westlaw AI-Assisted Research during March–May 2024. Its 17–33% range includes false statements and false claims of source support; incomplete answers form a separate category. These are dated benchmark results, not estimated error rates for all legal work or present-day products.

Mata v. Avianca, Inc., 678 F. Supp. 3d 443 (S.D.N.Y. 2023), opinion and order on sanctions, June 22. Judge P. Kevin Castel imposed a $5,000 penalty jointly and severally on two lawyers and their firm. The findings included conscious avoidance and false representations; the opinion expressly distinguishes those failures from using a reliable AI tool for assistance.

Martín De Simone et al., From Chalkboards to Chatbots, World Bank Working Paper 11125 (May 2025, revised December 2025), §§2–3 and Table 13. The combined effect was 0.31 standard deviations; the schooling-years comparison uses an external benchmark. See also the authors’ account of the program (June 25, 2025).

Benjamin S. Bloom, “The 2 Sigma Problem”, Educational Researcher 13, no. 6 (1984): 4–16, especially 4–5. The experiments lasted three weeks and involved probability and cartography. Tutoring included one-to-one and two- or three-student arrangements. The separate classroom mastery-learning condition also improved on conventional instruction.

Andre Nickow, Philip Oreopoulos, and Vincent Quan, “The Promise of Tutoring for PreK–12 Learning”, American Educational Research Journal 61, no. 1 (2024): 74–107. The published meta-analysis reports a pooled effect of 0.288 standard deviations across varied tutoring programs. This is not a head-to-head comparison with AI tutoring or Bloom’s experiments.

Eureka Labs, founding announcement, July 16, 2024. Its teacher-designed, AI-assisted curriculum was a proposal, not an evaluated learning outcome.

Greg Kestin et al., “AI tutoring outperforms in-class active learning”, Scientific Reports 15 (June 3, 2025), 17458. The crossover study involved 194 eligible Harvard physics students in fall 2023. It measured immediate learning on two topics, using expert-written solutions and a structured tutor; it did not establish long-term retention or superiority across a whole curriculum. The quotation is from the paper’s Discussion section.

Owen Henkel et al., Effective and Scalable Math Support (2024), §§3–5. The full paper reports 11 randomized schools, 477 pupils completing both assessments, and an effect of 0.36 standard deviations. Teachers helped with technical issues during two weekly half-hour sessions. The $5 annual figure is a projected low cost at scale. Attrition, the small number of schools, and an assessment focused on elementary math limit generalization; the abstract landing page differs from the PDF on sample and effect size.

Rose E. Wang et al., Tutor CoPilot, October 2024, §§4–7. The study initially assigned 900 tutors and reports 782 at launch after attrition; the district identified 1,787 pupils. The four-point estimate is an intention-to-treat effect on session exit-test passing, not a four-point gain in general attainment. The nine-point result concerns the lower-rated tutor subgroup. Tutors worked online, not beside pupils in a classroom.

De Simone et al., program account, conclusion: the study estimates the effect of the combined intervention, not the chatbot in isolation.

De Simone et al., Working Paper 11125, §§2–3: 759 of 1,328 randomized students completed the endline assessment, with different follow-up rates across groups. The authors examine attrition using weighting and bounds; these checks do not establish results for an unsupported national rollout.

Audrey Watters, “The Invented History of ‘The Factory Model of Education’”, April 25, 2015. Her critique concerns the simplified historical narrative used to justify technological replacement, not a claim that schools lack regimentation or need no reform.

Alpha School, account of co-founder MacKenzie Price’s interview with Mike Rowe. The timetable, guide roles, and flagship tuition range are the school’s descriptions. They are not independent evidence for its advertised learning results, nor proof that the model is cheaper than other private schooling.

Josh Freeman, HEPI/Kortext, Student Generative AI Survey 2025, February 26, 2025: 1,041 full-time undergraduates surveyed in December 2024. Pew Research Center, How Teens Use and View AI, February 24, 2026: 1,458 U.S. teenagers aged 13–17 surveyed September 25–October 9, 2025. These different populations and questions should not be treated as a common adoption series or as measures of cheating.

Beth McMurtrie, “Harvard College’s Dean: ‘Everyone Is Using AI All the Time for Everything’”, Chronicle of Higher Education, September 9, 2026, an interview with David J. Deming.

Center for Democracy & Technology, Hand in Hand, October 2025, figures 16 and 18; methodology, p. 63. The weighted online survey included 806 U.S. teachers in grades 6–12, fielded June–August 2025. Both figures are 71 percent. The skills response measures concern, not tested deterioration.

Andrea Malek Ash, Gallup, “Three in 10 Teachers Use AI Weekly, Saving Six Weeks a Year”, June 24, 2025. The survey included 2,232 public K–12 teachers from RAND’s American Teacher Panel, March 18–April 11. Savings are teachers’ task-by-task estimates, annualized over 37.4 school weeks, not observed reductions in contracted work or a randomized productivity effect.

Elizabeth L. Bjork and Robert A. Bjork, “Making Things Hard on Yourself, but in a Good Way”, in Psychology and the Real World (2011), especially pp. 57–60. They distinguish performance during practice from lasting learning and stress that a difficulty can be unhelpful when the learner lacks the knowledge needed to respond.

Yizhou Fan et al., “Beware of Metacognitive Laziness”, 2024 author manuscript, §§3–6; published article. The four groups received ChatGPT, human-expert, checklist-tool, or no additional support during revision. A nonsignificant learning difference does not establish equivalence or harm. The authors also acknowledge that their design lacks a mature, targeted measure of metacognitive laziness; planning and monitoring frequencies did not significantly differ during revision.

David Strömberg, Victor Lei, and Yanhui Wu, “The Generative AI Learning Penalty in Secondary School”, September 4, 2026; CEPR Discussion Paper 21577, June 2026. Their observational, staggered-adoption analysis reports exam-score changes relative to pre-adoption means. The working-paper results concern general-purpose tools in one county, not a randomized evaluation of a designed tutoring program.

Grace Liu et al., AI Assistance Reduces Persistence and Hurts Independent Performance, April 2026, experiments 1–3. The studies recruited 1,222 U.S. Prolific participants and analyzed 1,060 after exclusions. Tasks involved fractions and reading comprehension; whole sessions lasted about 10–15 minutes. Independent accuracy declined in all three experiments. Increased skipping was not statistically significant in the second experiment. These were immediate post-assistance tests, not longitudinal measures of skill loss.

Nicholas C. Soderstrom and Robert A. Bjork, “Learning Versus Performance: An Integrative Review,” Perspectives on Psychological Science 10, no. 2 (2015): 176-199, which reviews decades of research on the difference between performance during instruction and lasting learning.

Allan Smith, “Poll: Americans think AI does more harm than good in schools”, NBC News, September 17, 2026, reporting the NBC News Decision Desk Poll powered by SurveyMonkey: 7,105 adults online, August 20–September 1, 2026, margin of error ±3.3 points. The panel is an online sample, not a probability sample; the comparison is with the same poll’s June 2025 wave.

Walton Family Foundation, GSV Ventures and Gallup, Voices of Gen Z: The AI Paradox, April 2026, executive summary: Gallup Panel web survey of 1,572 people aged 14–29, February 24–March 4, 2026, margin of error ±3.6 points.

UNESCO Global Education Monitoring Report, “Phone bans in schools are spreading worldwide as the policy debate rages on”, March 17, 2026, updated March 19. Its count was 114 systems; policies vary in school-day scope and instructional, disability, or health exceptions. This is a dated monitoring tally, not evidence that generative AI caused the bans.

New York City Public Schools, 2026–27 guidance on artificial intelligence, including the student-use moratorium, exceptions, approved high-school settings, and required literacy modules. For Los Angeles, Karma Dickerson and Karla Rendon, NBC Los Angeles’s report and the district’s statement, September 2, 2026. LAUSD said restrictions had applied since the school year’s beginning; the committee discussion publicized an existing practice rather than inaugurating it that day.

MIT Ad Hoc Committee on AI Use in Teaching, Learning, and Research Training, final report, August 2026. The quoted passages are from the report’s discussion of overreliance, assessment, and AI detectors.

Beth McMurtrie, “Harvard College’s Dean: ‘Everyone Is Using AI All the Time for Everything’”, Chronicle of Higher Education, September 9, 2026, an interview with David J. Deming.

World Economic Forum, The Future of Jobs Report 2025, digest. The skill rankings describe surveyed employers’ current priorities and expectations through 2030. They do not establish which capacities will remain uniquely human or prescribe a school curriculum.

National Endowment for the Arts, “Federal Data on Reading for Pleasure”, October 3, 2024, reporting NAEP’s age-thirteen series; NEA, Arts Participation Patterns in 2022, figures 8 and 10. The book question excludes required work/school reading. A broader measure explicitly including audiobooks reached 51.9 percent in 2022. Frequency of voluntary reading is distinct from literacy proficiency.

National Literacy Institute, “Literacy Leadership & AI Institutes”, program description accessed September 7, 2026. Its listed focus areas include science-of-reading implementation and practical AI tools. This establishes what it offers, not the effectiveness of its methods.

Edwin A. Link Jr., US Patent 1,825,462, filed March 12, 1930, granted September 29, 1931, description of the bellows, suction pump, and coin control. The National Museum of the U.S. Air Force describes the family factory and early amusement-park sales.

Rebecca Hancock Cameron, Training to Fly: Military Flight Training, 1907–1945 (U.S. Air Force, 1999), pp. 265–267.

Cameron, Training to Fly, pp. 266–268. June 23, 1934 is the stated arrival date for the six trainers, not their order date. The accident count is the history’s account of the airmail operation, not a toll confined to training flights.

Suffolk University, SEED program description, describes the cross-disciplinary clinic, local clients, and practitioner supervision. The simulated-client account comes from my involvement in its development in 2026. It describes a teaching design and prototype, not demonstrated improvement in student outcomes.

Chanal Neves-McCain, “Claude, Create a Teaching Assistant Skill”, AI & Legal Skills conference, June 2, 2026. Suffolk’s October 29 account dates the LIT Center/AWS hackathon to October 17, 2025. Its legal-help tools were prototypes, not independently validated services or evidence of improved learning.

Suffolk, required Hotshot learning-track announcement, May 2025; Chicago, “AI Advances into the Law School Curriculum”, October 28, 2025; Stanford, account of its evolving AI curriculum, April 2026. These are institutional descriptions of particular courses and sequences, not evidence of one uniform school-wide rule or comparative effectiveness.

Maria Stephens et al., Changes Between 2011 and 2019 in Achievement Gaps, NCES 2022-041 (October 2022), pp. 2–3 and figure 7. The comparison uses the tenth and ninetieth percentiles, not average scores of two fixed groups followed over time. TIMSS assesses school pupils; it does not establish the composition of a later university cohort.

Association of American Medical Colleges, Core EPAs Guiding Principles. These recommendations concern a longitudinal, multi-assessor process for formal entrustment, with feedback and learner participation. They do not prescribe a fixed number of simulated or clinical encounters.

Karen J. Brasel et al., “Implementation of Entrustable Professional Activities in General Surgery”, Annals of Surgery 278 (2023): 578–586. The 28-program pilot reported 1,763 summative ratings for 497 residents. Observation counts describe implementation of assessment, not an experimentally established training minimum.

Eva Roytburg, “‘We believe in college’: inside Andreessen Horowitz’s $42m unaccredited academy”, Fortune, September 22, 2026; the Academy’s own site for the fellowship calendar; Gagan Biyani, post on X, September 22, 2026. The planned two-year program and its price are the company’s stated intentions, pending regulatory approval.

Public Law 119-21, §81001, 139 Stat. 334–337, enacted July 4, 2025. The transition applies to qualifying students enrolled and already borrowing for the same program by June 30, 2026, for the lesser of three academic years or the remaining expected time to the credential. The framework also sets graduate/professional aggregate limits, a $257,500 lifetime student limit excluding borrowing as a parent, and reductions for less-than-full-time enrollment. See also the Education Department’s May 6, 2026 explanation. The department’s predictions about tuition effects are not assumed here.

KU Law, J-HELPS announcement, January 25, 2026; WashU Law, supplemental-loan announcement, February 27, 2026. The announced fixed rates were 5% and 7.5%, with different fees and eligibility conditions. KU’s provider is its supporting nonprofit endowment association. WashU calls its product a private loan and expressly excludes Public Service Loan Forgiveness eligibility. Neither announcement establishes how much students ultimately borrowed.

NYU Langone Health, “NYU School of Medicine Offers Full-Tuition Scholarships to All New & Current Medical Students”, August 16, 2018; Johns Hopkins University Hub, “Johns Hopkins receives transformative Bloomberg Philanthropies investment in financial aid”, July 8, 2024. The 95 percent figure is the university’s description of the $300,000 threshold.

Emily Miller and Tobin Smith, AAU, “New PhD Admissions Data Show Threat to U.S. STEM Workforce, Breakthroughs, Innovations”, July 7, 2026. The fifteen-percent comparison covers admissions at 55 responding AAU institutions, not all U.S. doctoral enrollment. Funding and international-demand explanations are the association’s assessment, not a controlled causal estimate.

arXiv, monthly submissions and downloadable data. Summing the twelve monthly new-submission counts for each calendar year gives 105,280 in 2015 and 284,486 in 2025. Recomputed September 7, 2026. These are repository submissions, not journal acceptances or a count of AI-written papers.

Publons, Global State of Peer Review (2018), printed pp. 26–28. The concentration figure concerns records on Publons; the invitation/completion series uses ScholarOne data. Neither is a present-day census of all reviewing, and the report’s later-year projection is not an observed result.

Springer Nature, Annual Report 2024, printed p. 54, “Report on risks and opportunities.” This is the company’s stated risk to review capacity, quality, and article growth, not a measurement of how much AI caused the pressure.

Springer Nature, Annual Report 2024, printed p. 12; 2025 annual-report highlights, “Editorial excellence.” These are the publisher’s rounded submission figures, distinct from published article counts.

Zhicheng Lin, “Hidden Prompts in Manuscripts Exploit AI-Assisted Peer Review”, Communications of the ACM 69, no. 7 (2026): 53–56; author manuscript, introduction and table 1. His targeted July 7, 2025 search extended earlier Nikkei reporting. Eighteen detected manuscripts are a lower bound, not an estimate of prevalence or proof that every attempt changed a review.

ICML 2026 chairs, “On Violations of LLM Review Policies”, March 18, updated March 26. The correction distinguishes 506 flagged reviewers from 398 reciprocal reviewers associated with rejected submissions. Flagged cases received human inspection; the method detects some prohibited assistance, not all AI use.

Sören Auer, public post on NeurIPS 2026 review policy. His objection concerns trust, conflicting rules on prompt injection, and direct evaluation of review quality. It responds to NeurIPS’s practice, not specifically to ICML’s March sanctions.

Terence Tao, “A Digestion of the Jacobian Conjecture Counterexample”, July 21, 2026; Shuhong Gao, “Counterexamples to the Jacobian Conjecture in Dimensions Greater Than Two”, introduction and §3.4. The conjecture dates to Keller’s 1939 work. The two-variable case remains open; the longer account and an exact-arithmetic check appear with the discovery earlier in this book.

Ken Griffin, Goldman Sachs Exchanges conversation with Raj Mahajan, recorded June 2 and published July 9, 2026, transcript’s academic-finance passage. The comparison is an executive’s reported workflow and timing, not a controlled productivity study or an independent review of the reproduced papers.

Ross D. King et al., “The Automation of Science”, Science 324, no. 5923 (2009): 85–89, published abstract.

King et al., published abstract, which expressly reports manual confirmation by the researchers. Differences between manuscript versions alone would not establish who requested a change or why.

University of Cambridge, research team’s account of the Eve-assisted malaria study, January 18, 2018, reporting Elizabeth Bilsland et al., Scientific Reports 8:1038. This was preclinical work; the account proposes further drug development, not an established treatment.

Jennie Aquilonius, “He Wants to Teach Robots to Do Nobel Prize-Level Research”, Universitetsläraren, September 19, 2024. Funding and commercial-incentive explanations are King’s account in the interview.

Alexander V. Tobias and Adam Wahab, “Autonomous ‘Self-Driving’ Laboratories: A Review of Technology and Policy Implications”, Royal Society Open Science 12, no. 7 (July 16, 2025): 250646, §2.1 and tables 1–2. The review distinguishes hardware from software autonomy and places demonstrated systems no higher than Level 4 in the frameworks discussed; it is not a comparative performance test or a census of every laboratory in 2026.

Alex Kohls, Jens Vigen, and Micha Moskovic of CERN, “A Decade in LHC Publications”, January 14, 2021. Their account gives 5,154 authors for the 2015 joint mass measurement, distinct from the 2012 discovery papers. No current authorship record is claimed here.

Martin Jakab, Eva Kittl, and Tobias Kiesslich, “How Many Authors Are (Too) Many?”, Scientometrics 129 (2024): 1299–1328, methods and figure 2. The study reports 17.03% and 5.69% across its selected biomedical publication types, not all academic fields. Articles without listed authors were excluded; publication-type classifications can overlap.

Mike Thelwall and Nabeil Maflahi, “Research Coauthorship 1900–2020: Continuous, Universal, and Ongoing Expansion”, Quantitative Science Studies 3, no. 2 (2022): 331–344, methods, §3.1, and discussion. The comparison uses geometric mean author counts, not solo-authorship percentages. Scopus’s changing coverage, consortium names, and occasional truncated lists limit interpretation; the authors do not claim a uniformly representative historical census.

“Friday essay: AI is devastating higher education, but the system was already broken”, The Conversation, October 2026.

Mata v. Avianca, No. 22-cv-1461, sanctions opinion (S.D.N.Y. 22 June 2023), pp. 1–4, findings 43–47 and concluding order. The court expressly rejected Schwartz’s conflicting explanations; the chatbot exchange should not be presented as a verified pre-filing sequence.

Damien Charlotin, “AI Hallucination Cases”, update dated October 28, 2026, accessed October 29, listing 2,231 decisions (1,514 from the United States). Its error categories overlap: a decision can involve fabricated authority (1,829), misrepresented authority (947) and false quotations (595) at once. Some entries concern alleged rather than confirmed AI use. The collection counts decisions, not filings, and supplies no denominator for estimating prevalence.

Plato, Phaedrus, 274c–275e, translated by Benjamin Jowett. The story is told by Socrates within the dialogue, not presented here as an Egyptian historical record. For the Greek word’s range, see Liddell–Scott–Jones, A Greek–English Lexicon, φάρμακον, senses I.2, I.4 and II.2.

Gabriel Unger and Arvind Narayanan, “Steering AI Beyond Automation”, October 14, 2026. A proposed research agenda for legibility, low-latency interaction, continuous steering and evaluation; no permanent technical ceiling on automation is assumed here.

“Human-AI Collaboration at Scale”, 2026, methods and limitations; Stanford institutional account. The sample concerns consumer Claude chats, excluding agentic products. Researchers received model-inferred aggregates rather than raw private conversations. Interaction labels do not establish lasting learning or real-world authority.

Nataliya Kosmyna et al., “Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task”, v2 preprint, 31 December 2025, especially methods and quotation/ownership results, pp. 22–23, 31–33 and 42–44. The main analysis includes 54 participants; 18 returned for a fourth session. This is a specific essay task in a small sample, not a general test of intelligence or evidence of brain damage; see the authors’ project limitations and FAQ.

Krzysztof Budzyń et al., “Endoscopist deskilling risk after exposure to artificial intelligence in colonoscopy: a multicentre, observational study”, Lancet Gastroenterology & Hepatology 10, no. 10 (2025): 896–903; accepted manuscript. Nineteen experienced endoscopists were observed over three months before and three months after introduction. The six-percentage-point difference concerns examinations with at least one adenoma, not the proportion of all growths found. Changes in case mix and procedure volume limit causal interpretation.

Bureau d’Enquêtes et d’Analyses, Final Report: Air France Flight AF 447 (July 2012), printed pp. 21–24 and 197–201. The report identifies a combination of crew, training, interface and organizational factors; it does not establish that routine automation alone caused pilots’ skills to decay.

Luona Lin, “About 1 in 5 U.S. workers now use AI in their job, up since last year”, Pew Research Center, 6 October 2025. This analysis covers 5,010 workers in the American Trends Panel survey conducted 2–8 September 2025. It measures respondents’ accounts of their work, not every AI system affecting them.

Christopher Mims, “AI Doesn’t Kill Jobs? Tell That to Freelancers”, Wall Street Journal, syndicated in Mint, 22 June 2024. For the platform comparison, Xiang Hui, Oren Reshef and Luofeng Zhou, “The Short-Term Effects of Generative Artificial Intelligence on Employment: Evidence from an Online Labor Market”, CESifo Working Paper 10601 (August 2023), pp. 6–10, estimates relative declines of 2 percent in monthly jobs and 5.2 percent in earnings among writing-related freelancers. These are on-platform outcomes through April 2023, not economy-wide losses. The study was subsequently published in Organization Science 35, no. 6 (2024): 1977–1989; the figures cited here are from the working-paper version.

California Senate Bill 574 (2025–2026 Regular Session), bill history (Assembly 75–0 and Senate concurrence 39–0 on August 31, 2026; approved by the Governor and chaptered as Chapter 858, Statutes of 2026, on September 30) and enrolled text: new Business and Professions Code section 6068.1, amended Code of Civil Procedure section 128.7, and new Code of Civil Procedure sections 180 and 1282.1. The confidentiality provision applies to systems whose access isn’t restricted to the attorney and people bound by confidentiality. The January 1, 2027 effective date follows from the absence of an urgency clause.

SB 574 vote history; State Bar of California, Committee on Professional Responsibility and Conduct, Practical Guidance for the Use of Generative Artificial Intelligence in the Practice of Law (2026).

SB 574 vote history; State Bar of California, Committee on Professional Responsibility and Conduct, Practical Guidance for the Use of Generative Artificial Intelligence in the Practice of Law (2026).

Legal Services Corporation, The Justice Gap (April 2022), executive summary; “low-income” means household income below 125 percent of the federal poverty line. National Coalition for a Civil Right to Counsel, landlord and tenant representation table, last modified March 2026: a simple average of about forty-five local and state studies, mostly before right-to-counsel programs, not a national sample. Arizona Supreme Court, news release of August 27, 2020; the ABS and Legal Paraprofessional directories, counted October 1, 2026 (about 172 active entities; about 113 active paraprofessionals). Utah Supreme Court, letter of September 5, 2024, and the Office of Legal Services Innovation’s Phase 3 announcement, May 15, 2026. Stanford’s Rhode Center, “Regulatory Innovation at the Crossroads” (June 2025), gives earlier counts. Neither state’s outcomes are evaluated here.

Legal Services Corporation, The Justice Gap (April 2022), executive summary; “low-income” means household income below 125 percent of the federal poverty line. National Coalition for a Civil Right to Counsel, landlord and tenant representation table, last modified March 2026: a simple average of about forty-five local and state studies, mostly before right-to-counsel programs, not a national sample. Arizona Supreme Court, news release of August 27, 2020; the ABS and Legal Paraprofessional directories, counted October 1, 2026 (about 172 active entities; about 113 active paraprofessionals). Utah Supreme Court, letter of September 5, 2024, and the Office of Legal Services Innovation’s Phase 3 announcement, May 15, 2026. Stanford’s Rhode Center, “Regulatory Innovation at the Crossroads” (June 2025), gives earlier counts. Neither state’s outcomes are evaluated here.

Utah Department of Commerce, Office of Artificial Intelligence Policy, AI FAQ, accessed October 7, 2026.

Utah Department of Commerce, Office of Artificial Intelligence Policy, AI FAQ, accessed October 7, 2026.

Utah Department of Commerce, Office of Artificial Intelligence Policy, AI FAQ, accessed October 7, 2026.

Casey Ross and Bob Herman, “UnitedHealth pushed employees to follow an algorithm to cut off Medicare patients’ rehab care,” STAT, 14 November 2023, reproduced by the Pulitzer Prizes. The account draws on internal documents and former employees; it includes UnitedHealth’s denial. The target is aggregate, not a per-patient rule or a quantitative measure of professional discretion.

Agility Robotics, “Digit Moves Over 100,000 Totes in Commercial Deployment”; GXO, multiyear agreement announcement, June 27, 2024. The cumulative movement count is the manufacturer’s report, not a measured intervention rate, comparative labor saving, or independent profitability audit.

Hans Moravec, 1999 account for Communications of the ACM, opening discussion of calculation, perception, and navigation. His evolutionary explanation is distinguished here from the article’s dated computational estimates and future predictions.

R. S. Johansson and A. B. Vallbo, “Tactile Sensibility in the Human Hand”, Journal of Physiology 286 (1979), 283–300, especially the density model and its limitations, pp. 292–297. The approximate total concerns tactile afferent units in glabrous skin, primarily modeled for young adults, not a direct count of every sensory receptor in every hand.

Johansson and Westling, “Signals in Tactile Afferents from the Fingers Eliciting Adaptive Motor Responses During Precision Grip”, Experimental Brain Research 66 (1987), 141–154, reports a 74 ± 9 ms response latency. Monzée, Lamarre, and Smith, “The Effects of Digital Anesthesia on Force Control Using a Precision Grip”, Journal of Neurophysiology 89 (2003), 672–683, reports increased grip force and disrupted coordination. These are specific experimental tasks, not universal response times.

Rodney Brooks, “Why Today’s Humanoids Won’t Learn Dexterity”, September 26, 2025, especially sections 2–4. The argument about missing force and tactile information is his assessment; this chapter does not adopt his deployment forecast or treat the essay as proof that visual learning cannot contribute to manipulation.

Larry Hardesty, “Giving Robots a Sense of Touch”, MIT News, June 5, 2017. MIT’s account describes GelSight’s reflective surface and the experiment using touch to locate a screwdriver after the grasp obscured it. The result concerns that experimental setup, not human-equivalent touch.

Physical Intelligence, “π0.5: a VLA with Open-World Generalization”, April 22, 2025. The researchers describe held-out homes, subtask-level success and instruction-following measures, and both semantic and motor errors. This is the team’s experiment report, not a claim that an unattended household service was available.

Physical Intelligence, “The Physical Intelligence Layer”, February 24, 2026, sections written by Weave and Ultra. Weave distinguishes autonomy as a share of total time from interventions per full load; its pretraining comparison differs from its model-generation comparison. Ultra captions a full-shift recording at 96.4% autonomy and separately reports order success and throughput. The figures are not independently replicated here.

NIST, “Humanoid Robot Baseline Performance Benchmark”, created April 20 and updated May 15, 2026. The proposed suite draws mainly on existing standardized NIST tests. The page describes planned participation and data-sharing arrangements, not completed comparative results.

Figure, “Helix 2.5: Zero-Shot 30-Home Generalization”, September 17, 2026. “Zero-shot” refers to the evaluation homes and objects; the three behaviors were specified with task data collected elsewhere. Success was all-or-nothing. These are the company’s blind evaluations.

Huh et al., HomeBody project page, September 2026: “a Unitree G1 guided by GPT Astra” cleaning up “across the room” in “a previously unseen kitchen” and retrieving “a remembered object from an underspecified request, without environment-specific training data or additional policy learning.”

Carolina Parada, Google DeepMind, “Gemini Robotics 1.5 Brings AI Agents into the Physical World”, September 25, 2025. The described system pairs embodied planning with a vision-language-action model and lower-level safety subsystems. The architecture is a design account, not a guarantee against physical failure.

OpenAI, “Solving Rubik’s Cube with a Robot Hand”, October 15, 2019. The account distinguishes the conventional solution algorithm from learned manipulation. It reports 60% success for scrambles requiring fifteen rotations and 20% for those requiring twenty-six, with a drop or timeout counted as failure. The claim here concerns simulation-to-hardware transfer, not general hand competence.

Odyssey, “Introducing Odyssey-3”, September 2026: the twenty hours were simulated driving data, the world model stayed frozen and fed a small driving policy, and a safety driver was aboard for the real-road comparison. Oliver Cameron, post on X, September 15, 2026.

Odyssey, “Introducing Odyssey-3”, September 2026: the twenty hours were simulated driving data, the world model stayed frozen and fed a small driving policy, and a safety driver was aboard for the real-road comparison. Oliver Cameron, post on X, September 15, 2026.

Open X-Embodiment Collaboration, project and results; paper first submitted October 13, 2023. The project describes over one million trajectories across 22 embodiments and improved performance from cross-robot training. Trajectories are activity sequences, not a uniform set of success-or-failure reaching trials; positive transfer in these experiments does not establish universal compatibility.

Scott Dresser, Amazon, millionth-robot and DeepFleet announcement, June 30, 2025. Amazon’s stated 10% gain concerns fleet travel time, not distance per item. Its Shreveport staffing claim concerns reliability, maintenance, and engineering roles, not total employment. These are company accounts; no independent operational or labor-cost comparison is supplied here.

HIVE, føtex co-innovation partnership, March 11, 2026. The announcement describes a multiyear partnership and supervised trials in closed stores. It does not establish a measured autonomy rate, profitable deployment or a confirmed rollout date.

1X, NEO product description, retrieved September 7, 2026. The page distinguishes foundational autonomy from scheduled expert guidance. Its claims about learning new chores are product descriptions, not an independently measured household success rate.

1X, NEO FAQ, answers on expert identity and access, retrieved September 7, 2026. It identifies US-based employees and owner-scheduled, accepted sessions. These are the company’s stated arrangements, not independently tested access controls or evidence about staffing ratios and pay.

1X, NEO order page, accessed October 1, 2026: $20,000 early-access ownership or a $499 monthly subscription, with a $200 deposit.

Milan Kovac’s October 16, 2024 statement, as reproduced in Benzinga’s report. The acknowledgement establishes some human assistance at the event, not its exact extent for every movement or interaction.

BMW Group, February 27, 2026 media information, pp. 4–5. The account reviews Spartanburg’s 2025 Figure 02 pilot, its throughput and integration work. Its ten-hour shift description is not a claim of uninterrupted autonomous operation throughout every shift; the reported operating-hour total is a separate measure.

Waymo, Safety Impact dashboard and methodology, data through March 2026. “Rider-only” means no human driver, not necessarily a paying passenger. The surface-street comparison uses geographically adjusted benchmarks, includes crashes regardless of fault, and has reporting and comparability limitations. These are Waymo’s calculations; the underlying crash data were not independently reanalyzed here.

California DMV, October 24, 2023 suspension; DOJ, November 14, 2024 deferred-prosecution announcement; GM, December 10, 2024 funding decision. DOJ distinguishes the incomplete written reports from video supplied to NHTSA. The DMV suspension left safety-driver testing unaffected. GM cited scale costs and competition, and proposed combining technical teams; its decision did not end all autonomous-driving development.

Edward Sun, Sravanthi Machcha, Sabrina Zou, Tzu Kit Chan and Jay Chooi, “RoboHarm: Do Frontier Robot Policies Refuse Unsafe Instructions?”, Robocurve, September 18, 2026. Five scenes on one bench, one fixed wording per instruction, twenty trials of each per system; human reviewers labeled each trial. The authors note it says nothing about harms that unfold over longer horizons or depend on context.

Scott Dresser, Amazon, millionth-robot and DeepFleet announcement, June 30, 2025. Amazon’s stated 10% gain concerns fleet travel time, not distance per item. Its Shreveport staffing claim concerns reliability, maintenance, and engineering roles, not total employment. These are company accounts; no independent operational or labor-cost comparison is supplied here.

Physical Intelligence, “π0: Our First Generalist Policy”, October 31, 2024, section on post-training and box assembly. The account describes using the arms and table to brace the partly assembled box. This is the researchers’ published description; no independent video reconstruction or replication is claimed.

Adam Smith, An Inquiry into the Nature and Causes of the Wealth of Nations (1776), book I, chapter 1: “One man draws out the wire, another straights it, a third cuts it, a fourth points it, a fifth grinds it at the top for receiving the head,” and “the important business of making a pin is, in this manner, divided into about eighteen distinct operations.”

Karyl Lee Kibler Hall and Carolyn Cooper, “Windows on the Works: Industry on the Eli Whitney Site”, Part 2, Eli Whitney Museum. Their historical account describes gradual changes in manufacture, relationships among public and private arms producers, and the spread of precision techniques. It cautions against both the lone-inventor legend and an equally simplified counterstory of Whitney as a fraud.

Robert C. Allen, “Engels’ Pause: Technical Change, Capital Accumulation, and Inequality in the British Industrial Revolution”, 2009; author-hosted proof, pp. 2–4. The 46% output and 12% real-wage increases cover 1780–1840, not 1790–1840. Allen uses the Feinstein wage series and discusses competing estimates; these reconstructed series are not an uncontested census.

Alphabet, third-quarter 2025 earnings-call transcript, CFO Anat Ashkenazi’s capital-expenditure discussion. The 60/40 split applies to technical infrastructure, which represented the vast majority of the quarter’s $24 billion capital expenditure. Data centers and networking equipment are a combined category, not a construction-only or US-only total.

International Federation of Robotics, China release for World Robotics 2025, September 25, 2025. The figures concern 2024 installations: about 295,000, or 54% of the global flow; Chinese suppliers held 57% of the domestic market. Installed stock, reported separately at about 2.027 million units, is a different measure.

COSCO Shipping Ports, 2025 annual-results release, March 18, 2026. Total throughput was 152,994,965 TEU, including 119,748,032 at non-controlling terminals. Equity-weighted throughput was 46,850,076 TEU. The company’s forty-port network and total throughput must not be read as a count of wholly owned ports or sovereign control.

Robert M. Solow, “We’d Better Watch Out,” New York Times Book Review, July 12, 1987, p. 36.

Xinhua, World Humanoid Robot Games photo report, August 23, 2026, reports Tiangong’s 38.15 seconds in the large-group 400 meters and compares it with van Niekerk’s 43.03 at Rio 2016. The comparison concerns times in separate competitions, not recognition of a machine performance as an athletics record.

Skild AI, “Introducing S1: In-Context Learning for Robotics”, August 2026, especially “ICL Scaling Laws.” The comparison uses matched data, architecture apart from prompt embedding, and compute; its internal unfamiliar-task suite uses four-to-eight-minute tasks and recovery interventions to permit cumulative step scoring. The 66/9 figures concern the 100,000-hour training condition. They are company results, not independently replicated whole-task autonomy rates.

Figure AI, “F.02 Decommission”, September 30, 2026. Embedded film, inspected at approximately 2:15–2:27: grated platform, light on the body and railings, airborne posture and sparks after the jump. Autonomy, battery retention and equipment failures are from the written account; no thoughts or sensations are attributed to the robot.

Figure AI, “F.02 Decommission”, September 30, 2026. Embedded film, inspected at approximately 2:15–2:27: grated platform, light on the body and railings, airborne posture and sparks after the jump. Autonomy, battery retention and equipment failures are from the written account; no thoughts or sensations are attributed to the robot.

Figure AI, “F.02 Decommission”, September 30, 2026. Embedded film, inspected at approximately 2:15–2:27: grated platform, light on the body and railings, airborne posture and sparks after the jump. Autonomy, battery retention and equipment failures are from the written account; no thoughts or sensations are attributed to the robot.

Figure AI, “F.02 Decommission”, September 30, 2026. Embedded film, inspected at approximately 2:15–2:27: grated platform, light on the body and railings, airborne posture and sparks after the jump. Autonomy, battery retention and equipment failures are from the written account; no thoughts or sensations are attributed to the robot.

Figure AI, “F.02 Decommission”, September 30, 2026. Embedded film, inspected at approximately 2:15–2:27: grated platform, light on the body and railings, airborne posture and sparks after the jump. Autonomy, battery retention and equipment failures are from the written account; no thoughts or sensations are attributed to the robot.

Figure AI, “F.02 Decommission”, September 30, 2026. Embedded film, inspected at approximately 2:15–2:27: grated platform, light on the body and railings, airborne posture and sparks after the jump. Autonomy, battery retention and equipment failures are from the written account; no thoughts or sensations are attributed to the robot.

Figure AI, “F.02 Decommission”, September 30, 2026. Embedded film, inspected at approximately 2:15–2:27: grated platform, light on the body and railings, airborne posture and sparks after the jump. Autonomy, battery retention and equipment failures are from the written account; no thoughts or sensations are attributed to the robot.

Figure AI, “F.02 Decommission”, September 30, 2026. Embedded film, inspected at approximately 2:15–2:27: grated platform, light on the body and railings, airborne posture and sparks after the jump. Autonomy, battery retention and equipment failures are from the written account; no thoughts or sensations are attributed to the robot.

U.S. Nuclear Regulatory Commission, “Backgrounder on the Three Mile Island Accident” and “Christopher M. Crane Clean Energy Center,” current through June 2026; and Constellation Energy, 20 September 2024. Unit 2’s 1979 partial meltdown was the most serious accident in U.S. commercial nuclear power, but the NRC says its small radioactive releases produced no detectable health effects. Unit 1 shut in 2019 for economic reasons. Microsoft’s twenty-year power-purchase agreement supports Constellation’s proposed restart and would add about 835 MW to the PJM grid; the NRC says the plant must restore its operating licensing basis, components, and required upgrades before restarting. The NRC approved the new facility name in May 2025.

Annual disclosures for those fiscal years: Amazon reported $128.320 billion of 2025 cash capital expenditure; Alphabet $91.4 billion for calendar 2025; Microsoft $64.551 billion of property-and-equipment additions for the fiscal year ended 30 June 2025; Meta $72.22 billion of 2025 capital expenditures including finance-lease principal; and Oracle $55.663 billion for the fiscal year ended 31 May 2026. The sum is about $412.2 billion. The same disclosed measures for the preceding annual periods total roughly $235 billion. The periods and company definitions are not perfectly aligned, Amazon includes fulfillment infrastructure, and no firm reports an AI-only total. Sources: company annual reports, earnings releases, and SEC filings.

CPC Central Committee and State Council, 《中共中央 国务院关于发展新质生产力的意见》 (“Opinions on Developing New Quality Productive Forces”), released by Xinhua, October 9, 2026; quotations translated from the Chinese. The earlier document is the State Council’s opinion on deepening the “AI+” initiative, August 2025 (gov.cn summary).

CPC Central Committee and State Council, 《中共中央 国务院关于发展新质生产力的意见》 (“Opinions on Developing New Quality Productive Forces”), released by Xinhua, October 9, 2026; quotations translated from the Chinese. The earlier document is the State Council’s opinion on deepening the “AI+” initiative, August 2025 (gov.cn summary).

CPC Central Committee and State Council, 《中共中央 国务院关于发展新质生产力的意见》 (“Opinions on Developing New Quality Productive Forces”), released by Xinhua, October 9, 2026; quotations translated from the Chinese. The earlier document is the State Council’s opinion on deepening the “AI+” initiative, August 2025 (gov.cn summary).

IEA, Key Questions on Energy and AI (16 April 2026): global data-center electricity use rose 17 percent to about 485 TWh in 2025, while AI-focused facilities grew 50 percent. Its central projection reaches about 950 TWh, around 3 percent of global electricity, in 2030, with AI-focused use tripling. Data centers supply less than a tenth of projected global electricity-demand growth but close to half of U.S. growth. The IEA describes a hyperscale AI facility above 100 MW as comparable to 100,000 households and the largest announced campus as comparable to five million.

IEA, Electricity 2026, “Grids” and “Flexibility” chapters: such facilities typically take one to three years to construct while planning, permitting, and completing grid infrastructure takes five to fifteen; more than 2,500 GW of generation, storage, and large-load projects were stalled in connection queues worldwide. The report estimates that conditional non-firm connections could free capacity for roughly 750–900 GW of advanced projects, but such service permits the operator to limit consumption at constrained times. IEA, Energy and AI (2025), says an AI-focused facility is about ten times as capital-intensive as an aluminum smelter, making curtailment unusually costly, and that half of U.S. facilities under development were in existing clusters. FERC’s RM26-4 large-load proceeding treats demand above 20 MW as a distinct transmission-interconnection problem and was still developing national rules in 2026.

Pat Gelsinger, interview, energy discussion; IEA, World Energy Outlook 2025. The deployment comparison is conditional analysis, not a claim that electricity determines economic output.

Google, “Measuring the environmental impact of AI inference” (21 August 2025), reports a median Gemini Apps text prompt at 0.24 Wh, 0.03 grams CO2e, and 0.26 mL of on-site water in May 2025, including serving-system utilization, idle capacity, CPUs, memory, and data-center overhead. It reports a thirty-threefold fall in median-prompt energy over the preceding year. The water boundary is operational and on-site; it excludes upstream electricity, model training, and hardware manufacture. The IEA’s 2026 report supplies the search-replacement and intensive-task comparisons.

OpenAI, “Research acceleration: The view inside OpenAI”, September 2026. Figures are at API prices.

OpenAI, ChatGPT pricing, and OpenAI Help Center, “About ChatGPT Pro tiers,” both accessed October 7, 2026. Usage limits for subscription plans are not published in tokens, so the comparison uses OpenAI’s own spending figures.

IEA, Energy and AI (2025) and Key Questions on Energy and AI (16 April 2026): electricity use by the global data-center fleet produces about 180 Mt of indirect CO2 emissions, around 0.5 percent of present fuel-combustion emissions; the central case raises the share toward 1 percent by 2030. Microsoft, “Responsibly building the AI future” and its 2026 Environmental Sustainability Report (9 July 2026), says fiscal-2025 total emissions rose 25 percent year over year, driven primarily by data-center expansion and the pause in certain non-additional unbundled renewable-energy certificates. Scope 2 rose from nearly 2 percent to 13 percent of Microsoft’s footprint even as the company matched 100 percent of annual global electricity consumption with renewable energy under its defined accounting method.

IEA, Energy and AI (2025) and Key Questions on Energy and AI (16 April 2026): electricity use by the global data-center fleet produces about 180 Mt of indirect CO2 emissions, around 0.5 percent of present fuel-combustion emissions; the central case raises the share toward 1 percent by 2030. Microsoft, “Responsibly building the AI future” and its 2026 Environmental Sustainability Report (9 July 2026), says fiscal-2025 total emissions rose 25 percent year over year, driven primarily by data-center expansion and the pause in certain non-additional unbundled renewable-energy certificates. Scope 2 rose from nearly 2 percent to 13 percent of Microsoft’s footprint even as the company matched 100 percent of annual global electricity consumption with renewable energy under its defined accounting method.

Google contracted with Kairos Power for electricity from small modular reactors (October 2024; first reactor targeted ~2030); Amazon agreed to draw power directly from the Susquehanna nuclear plant via Talen Energy.

Lawrence Berkeley National Laboratory, 2024 United States Data Center Energy Usage Report (December 2024), pp. 51–58: U.S. facilities used about 60 TWh in 2014, 76 TWh in 2018, and 176 TWh in 2023; direct water consumption rose from 21.2 billion liters in 2014 to 66 billion in 2023. These are fleet totals across conventional and AI workloads. The report separately models nearly 800 billion liters of upstream water consumption from electricity in 2023 and stresses regional variation in grid and cooling water intensity. For scale only, USGS estimated 73.2 billion gallons per day of consumptive irrigation use and 4.31 billion gallons per day of consumptive thermoelectric use in 2015; the years and accounting systems differ.

Microsoft, “Sustainable by design: Next-generation datacenters consume zero water for cooling”, December 9, 2024; “Inside Microsoft’s two-decade push to cut water intensity”, June 24, 2026, which explains cooling towers, evaporative assist and closed-loop chip cooling. The savings figure is Microsoft’s estimate.

Microsoft, “To cool datacenter servers, Microsoft turns to boiling liquid”, April 6, 2021, on two-phase immersion cooling at Quincy.

The Dalles figure was released after The Oregonian sued for the records in 2022; the city had treated Google’s water use as a trade secret.

Pengfei Li, Jianyi Yang, Mohammad A. Islam, and Shaolei Ren, “Making AI Less ‘Thirsty’” (arXiv:2304.03271v5, 2025), pp. 1 and 4–5, models a 500 mL bottle across roughly 10–50 medium GPT-3 responses. Its U.S. average is 16.904 mL per response: 2.2 mL on-site and 14.704 mL upstream in electricity generation, assuming 4 Wh for up to 800 input words and 150–300 output words. A September 2024 Washington Post interactive produced the 519 mL estimate for a 100-word GPT-4 email from a 140 Wh assumption whose derivation it did not publish. The later figure is a high-assumption scenario, not a meter reading or the original paper’s finding.

City of Quincy and Microsoft, Quincy Water Reuse Utility. Reported cooling water is about 409 million gallons a year: roughly 138 million recycled through the reuse facility, about 260 million drawn from the West Canal of the Columbia Basin Project, and about 11,000 gallons from municipal wells. Microsoft reports a 97 percent reduction in potable water use at the site. Canal water is irrigation-project water, allocated within the district, which is why the potable figure and the withdrawal figure answer different questions.

Virginia’s Joint Legislative Audit and Review Commission, Data Centers in Virginia (December 2024), Chapter 6, found at least fifteen operational sites—about 10 percent—with noise that residents regarded as problematic and 29 percent of sites within 200 feet of residentially zoned land. It documents the Great Oak complaint beginning in May 2022, partial mitigation, and repeated resident communication through October 2024. The sound was generally below hearing-damage thresholds and rarely violated ordinary noise rules; most sites generated no complaint. Fairfax County’s adopted requirements call for predictive acoustic modeling and post-construction measurement at full operational load, treat routine generator testing separately, and require later phases to be assessed at ultimate buildout.

Virginia’s Joint Legislative Audit and Review Commission, Data Centers in Virginia (December 2024), Chapter 6, found at least fifteen operational sites—about 10 percent—with noise that residents regarded as problematic and 29 percent of sites within 200 feet of residentially zoned land. It documents the Great Oak complaint beginning in May 2022, partial mitigation, and repeated resident communication through October 2024. The sound was generally below hearing-damage thresholds and rarely violated ordinary noise rules; most sites generated no complaint. Fairfax County’s adopted requirements call for predictive acoustic modeling and post-construction measurement at full operational load, treat routine generator testing separately, and require later phases to be assessed at ultimate buildout.

Georgia Public Service Commission, 19 December 2025 decision and 2025 Annual Report. The commission voted 5–0 for an agreement certifying 9,885 MW of new generation, roughly 80 percent expected to serve data centers. Georgia Power agreed to backstop associated costs through 2031. If contracts for all the new load were not in place by the end of 2026, the commission retained remedies including suspending unstarted projects, retiring other plants, ending external power purchases, or selling excess electricity. The arrangement is a prospective ratepayer protection whose long-run performance remains to be observed.

Quincy Municipal Code Title 17 (definitions) and Title 20.40 (use matrix), recovered from Internet Archive captures of the Code Publishing site, which is Cloudflare-walled at every live route tested; 136 of 137 declared chapter pages are recoverable, 99.3%. Quincy Ordinance 23-592 annexed 76.5 acres. Little Rock’s code was read from Municode as 174 records, of which the article-level records carry the text; the chapter-level records index it and duplicate 91.9% of their content, so the distinct corpus is about 546,000 words rather than the 676,328 the raw scrape totals. Searched case-insensitively for “data center”, “data center”, “datacenter”, “server farm” and “colocation”: zero occurrences of any. Quincy contains “data center” four times.

Heatmap Pro polling conducted by Embold Research, reported by Robinson Meyer, June 2026, and updated in August. The September 2025 baseline was 43% support against 42% opposition with 15% unsure; February 2026 had 51% opposed; June 2026 had 55% strongly opposed plus 16% somewhat, against 21% supporting; the August 2026 round reached 75% opposed with 61% strongly. The August survey polled 2,045 American registered voters by text-to-web between 8 and 13 August 2026 across all fifty states and the District of Columbia, with a reported margin of sampling error of 2.3 points. Text-to-web panels are opt-in rather than probability samples, so the error figure is a modeled estimate, and the respondents are registered voters rather than all adults. The provenance question raised about Data Center Watch applies here too, and it keeps recurring. Heatmap Pro is a commercial intelligence product whose own description promises developers and investors “the data, forecasts, and strategic insights to understand and navigate development risk”, maintaining an opposition database it updates with regular calls to all 3,100-plus American counties. The organization measuring the backlash sells intelligence about the backlash to the industry meeting it. Unlike the earlier case, the methodology here is disclosed in full, which is what makes the figures usable: named pollster, sample, field dates, error, and an unchanged question asked four times. The entanglement is structural rather than disqualifying, since almost nobody else is paying to measure this, and a reader should know it either way.

Data Center Watch, Q1 2026 Report: “at least 75 projects worth approximately $130 billion” blocked or delayed between January and March 2026, the most in any three-month period since it began tracking in 2023, and roughly equal to the whole of 2025. The same report counts 833 active opposition groups across 49 states, more than double the previous figure, and moratorium proposals introduced in fourteen state legislatures during the quarter. On provenance. Data Center Watch is a project of 10a Labs, a research firm whose stated clients are “AI unicorns, Fortune 10 companies, and US tech leaders”, so the organization counting opposition to data centers sells intelligence to the industry building them. Its public summary discloses no methodology, offers no definition separating “blocked” from “delayed”, and reserves project-level data for paid reports. The figure has been carried by NBC News, Newsweek, Forbes and others without those caveats. It is used here as the best available count, not as an audited one, and a project postponed a quarter for financing may land in the same total as one refused at a hearing.

Carroll County Fiscal Court, special-meeting recording, October 22, 2026, uploaded October 23, approximately 9:05-10:40 elapsed video time; official agenda, item 1, DECA development and community-benefits agreement. WKYT’s October 29 report supplies contemporary coverage; Northern Kentucky University’s profile identifies Dusing’s county role. The resident’s quoted response is the consistent excerpt retained in the recovered-record account; the official’s reply is paraphrased. The officer is paraphrased, uncertain overlapping speech is omitted, and the later seated speaker is unidentified. Later approval narration is not assigned to this meeting. The facility used for the sound recording is unidentified. The scene concerns proposed projects, not evidence that those projects already operated beside the residents.

Carroll County Fiscal Court, special-meeting recording, October 22, 2026, uploaded October 23, approximately 9:05-10:40 elapsed video time; official agenda, item 1, DECA development and community-benefits agreement. WKYT’s October 29 report supplies contemporary coverage; Northern Kentucky University’s profile identifies Dusing’s county role. The resident’s quoted response is the consistent excerpt retained in the recovered-record account; the official’s reply is paraphrased. The officer is paraphrased, uncertain overlapping speech is omitted, and the later seated speaker is unidentified. Later approval narration is not assigned to this meeting. The facility used for the sound recording is unidentified. The scene concerns proposed projects, not evidence that those projects already operated beside the residents.

Gov. Greg Abbott’s letter of 3 August 2026 directing the Public Utility Commission of Texas and ERCOT to audit data centers seeking grid connection, reported by Paul Cobler in the Texas Tribune, 3 and 14 August. The audit requires disclosure of tax breaks, power use and generation, water use and cooling, community-impact mitigation, and ownership; projects failing it “must be denied connection.” ERCOT’s queue held more than 1,800 projects representing over 474 gigawatts, more than five times the grid’s record peak, roughly 90% of new requests being data centers. At the PUCT’s meeting of 14 August, ERCOT officials clarified that the audit covers the 250-300 projects in its “Batch Zero” study, most of them data centers, accounting for about 200 gigawatts of future demand, more than twice the peak record set the previous month, and that the work would take several months. Approvals are paused rather than refused, El Paso lies outside ERCOT, and self-supplied projects need no interconnection.

Governor Greg Abbott, posting on 20 August 2026, describing his directive as having halted up to 1,800 data center projects and listing the guardrails attached: that such facilities must not take water needed by local communities, must not take power needed by the Texas grid, and must lower costs. The 1,800 figure is the ERCOT interconnection queue rather than the number under audit; see the preceding note.

Chamath Palihapitiya, 20 August 2026, naming Texas, Pennsylvania and Ohio, estimating 200-300 basis points of annual GDP at risk “if it metastasizes”, and attributing the backlash to three failures by frontier AI leadership: not painting a positive picture, not visibly enriching host communities, and infighting. Jason Goldman, replying the same day, noted that the investor community’s interests have separated from the frontier labs’, that the observed pushback comes from local concerns and economic inequality rather than on alignment or existential-risk discourse, and that the industry beyond the frontier CEOs has been promoting AI’s inevitability for years.

The same Heatmap Pro survey measured other facilities for comparison. Coal-fired power came in at eighteen points net negative against more than fifty for data centers, and opposition to a nearby data center ran ahead of opposition to a nearby nuclear plant.

The best-documented case is Nscale’s “Good Neighbors Home Purchasing Program,” offering to buy 53 houses in the Meadowlands Estates area near its Monarch Compute Campus in Mason County, West Virginia. Offers are set by taking the highest of three independent valuations as a baseline and adding a premium on top, with closing costs covered. In Virginia a developer offered roughly $4.4 million an acre in an area where median land runs closer to $100,000. By 2026 about 1.5 percent of US home sales were within five miles of a large data center, more than double the 2018 share, against a sevenfold rise in the number of such facilities to around 350. Ashburn: Northern Virginia Magazine, “Data Center Developer Offers Ashburn Homeowners $4.4 Million Per Acre” (24 March 2026); NBC4 Washington, “Were Ashburn neighbors offered $4M each to sell for data center development?” (2026); Planetizen, “Data center developer offers over $4M per acre to buy out homeowners” (August 2026).

Circulated August 2026 via Polymarket, citing reporting on a Virginia campus assembly in which individual householders were said to have been approached with offers around the $4m mark, roughly twice open-market value. Neither the sums nor the identities of the parties have been confirmed on the record, and the figure is used here as an indication of scale. Resident quotation from Anna Gustafson, The Ohio Independent, August 19, 2026, reporting from Middleton Township, Ohio.

US technology-sector layoffs in 2026 running to roughly 170,000, tracked across the year at about 830 a day. The movement in stated cause is the striking part: the share of layoff announcements naming AI as a factor rose from around 7% in January to about 40% by May, which several trackers read as AI functioning partly as a rationale rather than solely as a cause, with post-pandemic over-hiring, restructuring and geographic consolidation also in play. Over the same period Alphabet, Amazon, Microsoft and Meta together planned on the order of $725bn in AI capital expenditure, up about 77% year on year.

Taiwan Semiconductor (TSMC) manufactures more than 90% of the world’s leading-edge chips and over 60% of global foundry revenue, on the island of Taiwan, which the People’s Republic of China claims. ASML (Netherlands) is the sole maker of the extreme-ultraviolet lithography machines those chips require; Nikon and Canon abandoned EUV development. Nvidia designs the dominant AI processors. The wider chain follows the U.S. Government Accountability Office’s 2026 account of design, wafer and chip manufacturing, assembly, testing, packaging, specialized equipment, raw materials, and geographic concentration across several Asian economies. Commerce’s Bureau of Industry and Security separately identifies electronic-design tools, high-bandwidth memory, and equipment for deposition, etching, inspection, cleaning, and other fabrication stages as controlled dependencies. The three-company description names unusually narrow links in a much longer chain; it is not a complete map of chip production.

The United States imposed escalating export controls on advanced AI chips to China beginning October 2022 and tightening through 2023-2025; the precise restrictions have shifted with successive administrations.

Alexander Cornwell, Rami Ayyub and Timour Azhari, “UAE revises AI data center plan after Iranian attacks, sources say”, Reuters, September 11, 2026.

The “GPU-rich vs. GPU-poor” framing was coined by Dylan Patel of SemiAnalysis (August 2023).

Anthropic, The Anthropic Economic Index, updated June 26, 2026.

The categories are visible in vendors’ own terms. OpenAI’s Services Agreement says customer content is not used to develop or improve its services without the customer’s explicit agreement; its enterprise-privacy documentation says API inputs and outputs may be retained for up to thirty days for service delivery and abuse detection, with zero-data-retention available for eligible uses. Microsoft’s Azure Direct Models documentation says prompts and completions are not available to the underlying model provider and are not used to improve Microsoft or third-party products without permission, while separately describing stateful storage and abuse monitoring. Anthropic’s commercial terms for Claude on Amazon Bedrock say Anthropic cannot access or train on customer content but does receive usage data excluding that content, such as usage volume. Product and contract terms change; these examples establish the distinctions, not a universal default. Sources current to 6 August 2026.

The cost of running (inference on) a model has been falling on the order of 10x per year (the a16z “LLMflation” analysis, Guido Appenzeller, November 2024; Epoch AI corroborates a wide range depending on benchmark). Open-weight models from Meta (Llama), Alibaba (Qwen), and DeepSeek form a price floor; DeepSeek claimed a frontier-class model trained for about $5.6 million in GPU cost, a figure critics argue understates the true all-in infrastructure cost by orders of magnitude. Presented as DeepSeek’s claim, not a settled figure.

Hugging Face security disclosure, July 2026. The company reported that commercial API models blocked the forensic analysis because the requests were indistinguishable to the guardrails from attacker behavior, and that it ran the analysis instead on an open-weight model within its own infrastructure. The containment-of-data benefit was a stated secondary reason.

UK AI Security Institute, “How Far Behind the Frontier are Leading Open Weight Models on Cyber?” (17 July 2026), found GLM-5.2 and DeepSeek V4-Pro performed similarly to closed models released four to seven months earlier on AISI’s cyber tests, versus a six-to-ten-month lag in its internal 2025 evaluations. AISI cautions that cyber results do not establish performance elsewhere or predict the future gap. Epoch AI, “Frontier AI performance becomes accessible on consumer hardware within a year” (15 August 2025), estimated a six-to-twelve-month lag on four broad benchmarks for models fitting a single high-end gaming GPU, with benchmark and model-selection limitations. Epoch AI, “How much does it cost to train frontier AI models?” (3 June 2024, updated 13 January 2025), estimated the cost of computing equipment and electricity rising 2.4-fold annually from 2016 and equipment at 47–67 percent of development cost. Its billion-dollar 2027 figure is an extrapolation, not a reported training bill.

Alibaba Group’s 20 July 2026 announcement described Qwen 3.8-Max-Preview as a claimed 2.4-trillion-parameter model offered through its hosted platforms and said weights would be opened soon. Qwen published the weights on Hugging Face on 8 August 2026 as Qwen3.8-2.4T-A95B under a custom “qwen3.8-max” license; the hosted Qwen3.8-Max adds features beyond the open release. The parameter count is the vendor’s.

Xi Jinping, keynote at the opening ceremony of the 2026 World AI Conference and High-Level Meeting on Global AI Governance, Shanghai, 17 July 2026 (full text, Xinhua). Twenty-nine countries, among them Russia, Pakistan and Kazakhstan, signed an agreement establishing a World Artificial Intelligence Cooperation Organization headquartered in Shanghai. Accompanying pledges included 5,000 AI training places for developing countries over five years and extension of the MAZU meteorological warning system to 30 countries.

Moonshot AI, public statement on Kimi K3 (July 2026): “demand has pushed close to the limits of our current capacity. To protect the experience of existing subscribers, we’re temporarily pausing new subscriptions and prioritizing compute for current members.”

Figma announced Mike Krieger’s appointment to its board in July 2025 and its Claude-FigJam integration in January 2026. TechCrunch confirmed Krieger’s April 2026 resignation through Figma’s securities filing. Upstarts and Vector reported the three-day product-launch sequence and attributed Dylan Field’s statement that Anthropic was “not consistently candid in their communications” to two people present at a private April event. No public transcript or on-record statement from Field had appeared by 6 August, so the body identifies the quotation as private-event reporting rather than a public declaration. Anthropic’s drug-discovery and legal products, OpenAI’s voice-support product, and the OpenAI Jobs Platform were publicly announced. These sequences show product overlap, not misuse of customer information.

The commoditization case is argued most sharply by Jaya Gupta (July 2026): that near-indistinguishable frontier releases suggest a commoditizing product rather than an intelligence explosion; that most firms’ moats are non-cognitive; that frontier researchers generalize from the profession most exposed to automation; and that regulation may supply the durable barrier model performance no longer does. Presented here as the strongest available counter-reading, not as the book’s position.

Nick Bostrom, Superintelligence (Oxford University Press, 2014), ch. 5; Bostrom, “What is a Singleton?”, Linguistic and Philosophical Investigations 5, no. 2 (2006): 48–54.

Nick Bostrom, Superintelligence (Oxford University Press, 2014), ch. 5; Bostrom, “What is a Singleton?”, Linguistic and Philosophical Investigations 5, no. 2 (2006): 48–54.

US Department of State, Office of the Historian, “Atomic Diplomacy” (history.state.gov, milestones 1945–1952). The account records Truman’s deliberately nonspecific notice to Stalin at Potsdam, the American hope that the monopoly would soften Soviet resistance over Eastern Europe and the Balkans, the officials’ disappointment, and the possibility that the atomic age instead made the Soviet Union more anxious to protect a controlled buffer at its borders. It dates the first Soviet test to 1949.

Fuchs confessed in January 1950 and was convicted at the Old Bailey that March; the FBI’s file on the case is public. Stalin’s instruction to Molotov after Potsdam is from Georgy Zhukov, The Memoirs of Marshal Zhukov (1971).

The Baruch Plan was presented to the UN Atomic Energy Commission on 14 June 1946; the Soviet counter-proposal, delivered by Andrei Gromyko five days later, objected to the sequencing. US Department of State, Office of the Historian, “The Acheson-Lilienthal and Baruch Plans, 1946.”

Richard Rhodes, The Making of the Atomic Bomb (Simon & Schuster, 1986), chapters 1-15, for Wells, Szilard, the discovery of fission, the Einstein letter and the early national programs.

H. G. Wells, The World Set Free (1914), Project Gutenberg text, including the 1921 preface.

H. G. Wells, The World Set Free (1914), Project Gutenberg text, including the 1921 preface.

H. G. Wells, The World Set Free (1914), Project Gutenberg text, including the 1921 preface.

Richard Rhodes, The Making of the Atomic Bomb (Simon & Schuster, 1986), chapters 1-15, for Wells, Szilard, the discovery of fission, the Einstein letter and the early national programs.

Lisa Jardine, essay on Leo Szilard, BBC News Magazine, October 4, 2013; U.S. Department of Energy, The Manhattan Project: An Interactive History (OSTI).

Richard Rhodes, The Making of the Atomic Bomb (Simon & Schuster, 1986), chapters 1-15, for Wells, Szilard, the discovery of fission, the Einstein letter and the early national programs.

Lisa Jardine, essay on Leo Szilard, BBC News Magazine, October 4, 2013; U.S. Department of Energy, The Manhattan Project: An Interactive History (OSTI).

Richard Rhodes, The Making of the Atomic Bomb (Simon & Schuster, 1986), chapters 1-15, for Wells, Szilard, the discovery of fission, the Einstein letter and the early national programs.

Lisa Jardine, essay on Leo Szilard, BBC News Magazine, October 4, 2013; U.S. Department of Energy, The Manhattan Project: An Interactive History (OSTI).

Richard Rhodes, The Making of the Atomic Bomb (Simon & Schuster, 1986), chapters 1-15, for Wells, Szilard, the discovery of fission, the Einstein letter and the early national programs.

Otto Frisch, recorded recollection, American Institute of Physics, “The Discovery of Fission”; American Physical Society, APS News, 2007.

Otto Frisch, recorded recollection, American Institute of Physics, “The Discovery of Fission”; American Physical Society, APS News, 2007.

Otto Frisch, recorded recollection, American Institute of Physics, “The Discovery of Fission”; American Physical Society, APS News, 2007.

Richard Rhodes, The Making of the Atomic Bomb (Simon & Schuster, 1986), chapters 1-15, for Wells, Szilard, the discovery of fission, the Einstein letter and the early national programs.

Otto Frisch, recorded recollection, American Institute of Physics, “The Discovery of Fission”; American Physical Society, APS News, 2007.

U.S. Department of Energy, The Manhattan Project: An Interactive History (OSTI); Eugene Wigner, 1964 interview, Atomic Heritage Foundation, Voices of the Manhattan Project.

Richard Rhodes, The Making of the Atomic Bomb (Simon & Schuster, 1986), chapters 1-15, for Wells, Szilard, the discovery of fission, the Einstein letter and the early national programs.

U.S. Department of Energy, The Manhattan Project: An Interactive History (OSTI); Eugene Wigner, 1964 interview, Atomic Heritage Foundation, Voices of the Manhattan Project.

Richard Rhodes, The Making of the Atomic Bomb (Simon & Schuster, 1986), chapters 1-15, for Wells, Szilard, the discovery of fission, the Einstein letter and the early national programs.

Bureau of Industry and Security, deemed-export guidance and licensing guidelines for foreign persons, September 2024. The doctrine concerns controlled technology and source code; it does not make every foreign person’s use of an AI service a deemed export. For the June directive and the company’s response, see Anthropic’s June 30 statement, cited below. Its account does not establish the unpublished directive’s exact statutory or regulatory basis.

Anthropic, “Redeploying Fable 5”, June 30, 2026, updated July 1, covering the June 12 export-control directive, the Amazon report that preceded it, the company’s comparative testing, the new classifier and CAISI’s assessment, the lifting of the controls on June 30, Fable’s return on July 1 and renewed Mythos access for selected U.S. organizations after approval on June 26. The directive itself was not published.

Anthropic, “Redeploying Fable 5”, June 30, 2026, updated July 1, covering the June 12 export-control directive, the Amazon report that preceded it, the company’s comparative testing, the new classifier and CAISI’s assessment, the lifting of the controls on June 30, Fable’s return on July 1 and renewed Mythos access for selected U.S. organizations after approval on June 26. The directive itself was not published.

Julian E. Barnes and Finbarr O’Reilly, “CIA Reorganization Prioritizes Cyberoperations”, The New York Times, republished by GV Wire on July 1, 2026. Their account of the June 30 event places the nuclear-weapons comparison in the speech and the doomsday comparison in the subsequent interview. These are Ratcliffe’s characterizations, not a technical equivalence established by the article.

Anthropic, “Redeploying Fable 5”, June 30, 2026, updated July 1, covering the June 12 export-control directive, the Amazon report that preceded it, the company’s comparative testing, the new classifier and CAISI’s assessment, the lifting of the controls on June 30, Fable’s return on July 1 and renewed Mythos access for selected U.S. organizations after approval on June 26. The directive itself was not published.

Executive Order 14409, “Promoting Advanced Artificial Intelligence Innovation and Security”, June 2, 2026, 91 Fed. Reg. 34565 (June 5, 2026), §§3, 5(a). The sixty-day deadline concerns design of the benchmarking and voluntary-access framework. Section 3(c) does not authorize mandatory licensing or preclearance; §5(a) preserves existing legal authorities. The order itself does not establish that the framework was implemented.

Emily Forlini, Fortune’s report on the unpublished framework, August 4, 2026. Nonpublication does not establish noncompletion.

Jared Perlo, “OpenAI debuts GPT-6 Astra, says it triggered security measures”, NBC News, September 3, 2026. Perlo quotes Brockman saying the White House requested no substantial safeguard changes. This is the company’s account of the review, not a published federal evaluation or an explanation of the reviewers’ reasoning.

Daniel R. Headrick, The Tools of Empire: Technology and European Imperialism in the Nineteenth Century (Oxford University Press, 1981), pp. 9–11. Headrick treats motives and means as interacting causes, not technology as causally irrelevant. The application to AI is this chapter’s inference.

OECD, international tax review, July 2025. The $2.4 billion is reported additional revenue associated with human assistance, not an AI effect. The ministry example is hypothetical.

Anthropic, “Introducing Claude Fable 5.1 and Claude Mythos 5.1”, September 1, 2026. The company describes one underlying model with different safeguards and access arrangements, including a biology access program developed with the U.S. government. The public/restricted division predates this release; see Anthropic’s June 30 statement cited above.

Chinese Ministry of Commerce, Notice 48, October 2026. Consultation runs October 16–November 15; registration requirements and exclusions should not be confused with final catalogue prohibitions.

White House, “G20 Innovation Ministerial Concludes with Consensus Statement”, September 2, 2026. The release lists China and Russia among the participants. Attendance should not be confused with a separately documented signature or a binding agreement to limit AI development.

G20 Innovation Ministerial Statement, September 2, 2026, pp. 1–3; published by the UK government on September 4. The third Carolina Principle favors existing sector-specific rules where appropriate and directs new regulation toward considerations those rules cannot address. Pillar 2 also commits to evaluating public-sector pilots, tracking application performance as deployment expands, and strengthening institutional accountability. These are policy commitments, not proof of implementation or a binding prohibition on new regulation.

Office of Senator Bernie Sanders, announcement of the AI Data Center Moratorium Act, March 25, 2026. The release collects remarks attributed to Musk in December 2025, Hassabis in January 2026 and Amodei in February. It is an advocate’s selection of statements, not evidence that every industry leader supports a pause or that these speakers endorsed this bill.

OpenAI, “Path to Astra”, September 1, 2026, on the delayed development and the August 28 restart; Anthropic, “Investigating three real-world incidents in our cybersecurity evaluations”, July 30, 2026; OpenAI, “An agent used DNS to reach an external chatbot”, updated September 25, 2026; Gizmodo, report on the canceled GPT-6.1 Astra release, September 28, 2026, citing the Wall Street Journal.

Jared Perlo, “Bill that would mandate AI chip location tracking gains industry support”, NBC News, June 18, 2026.

White House, September 25 fact sheet. This records announced arrangements, not verified operation of a hotline.

European Commission, AI Act overview and application timeline, as of September 2026; Regulation (EU) 2024/1689, Article 5 on prohibited practices, Article 55 on systemic-risk model obligations, Article 72 on post-market monitoring and Article 99 on penalties. The timeline incorporates the July 2026 Digital Omnibus amendment.

Ministry of Science and ICT, AI for All call for proposals and consortium selection announcement, July–August 2026. The call specifies at least 50% sovereign-model use and at least 30% use of other companies’ domestic models; these are service requirements, not a count of models. Both documents describe planned rollout, not an already operating nationwide service. For the broader budget and contemporaneous dollar conversion, see Xinhua’s August 29, 2025 report on the 2026 proposal; the ministry also identifies the cross-government 10.1-trillion-won allocation.

OpenAI, GPT-6 Astra system card, monitorability sections.

UNEP, Limiting Overshoot: Navigating exceedance of 1.5°C and pathways towards return, September 2, 2026, pp. 13–14, 17. The 2.6°C figure is a median under current policies, not an unconditional forecast. See also UNEP’s key messages, pp. 1–2, on reducing the peak and duration of overshoot and the conditions for returning below 1.5°C.

Reuters, “US close to letting UAE import millions of Nvidia’s AI chips, sources say”, May 14, 2025, from anonymous sources describing a preliminary agreement.

Alexander Cornwell, Rami Ayyub and Timour Azhari, “UAE revises AI data center plan after Iranian attacks, sources say”, Reuters, September 11, 2026.

Public Investment Fund, HUMAIN portfolio page, accessed October 1, 2026.

Office of Senator Bernie Sanders, “Sanders, Casar introduce legislation to create new federal agency to ban artificial superintelligence, pause advanced AI development”, September 23, 2026.

Gary Marcus, “The new Sanders-Casar Ban Artificial Superintelligence Act, and why I oppose it”, Marcus on AI, September 3, 2026.

Office of Rep. Lori Trahan, press release, October 7, 2026; Semafor.

Office of Rep. Lori Trahan, press release, October 7, 2026; Semafor.

UK Department for Science, Innovation and Technology, Consult water-commission results, October 16, 2025. Processing cost excludes subsequent expert work.

Dutch parliamentary inquiry, Ongekend onrecht, December 17, 2020, especially pp. 13–14 and 34; Government of the Netherlands, response on children placed in care, June 30, 2025. The latter identifies contributing failures, not one cause for every placement.

BBC News, “Dutch Rutte government resigns over child welfare fraud scandal”, January 15, 2021. The 26,000 figure is the BBC’s upper estimate of parents involved.

Dutch parliamentary inquiry, Ongekend onrecht, December 17, 2020, especially pp. 13–14 and 34; Government of the Netherlands, response on children placed in care, June 30, 2025. The latter identifies contributing failures, not one cause for every placement.

U.S. GAO, GAO-25-107611, September 16, 2025, pp. 1, 6–7. The report distinguishes earlier findings about the Individual Master File’s assembly-language/COBOL code and suspended replacement programs from the March 2025 reevaluation of modernization priorities.

UK government, Humphrey announcement, January 21, 2025; Singapore GovTech, Pair product account. Pair Search is identified as a prototype; product descriptions do not establish realized time savings across public offices.

UK DSIT, October 16, 2025 announcement, Redbox section. The government ended further development and open-sourced the tool.

Google, America.gov announcement, September 29, 2026. The reach figure is Google’s stated aim.

CivLab, US Government Graph, accessed October 1, 2026.

Government of the Netherlands, civil-service reform announcement, October 26, 2026. Planned staffing reductions are part of a broader reform; realized AI savings are not established.

Prime Minister of Japan, October 26 cybersecurity meeting. Coordination and AI-assisted assessment instructions; no formal declaration of a cyber state of emergency.

Royal Commission into the Robodebt Scheme, 2023 report, overview, p. xxix; Michigan Attorney General, Bauserman settlement announcement, October 20, 2022. The cases involved different administrative systems and legal proceedings.

Madeleine Clare Elish, “Moral Crumple Zones: Cautionary Tales in Human-Robot Interaction”, Engaging Science, Technology, and Society 5 (2019), 40–60. The concept concerns responsibility disproportionate to practical control.

Juliana Kim, “A man killed in a road rage incident spoke at his killer’s sentencing, thanks to AI”, NPR, May 7, 2025; “AI-generated video of road rage victim addresses his killer in court”, The Guardian, May 6, 2025; Associated Press, May 8, 2025. Reporting dates the shooting to November 2021.

State v. Horcasitas, No. 1 CA-CR 25-0191 (Ariz. Ct. App. Sept. 30, 2026), opinion, ¶¶ 1–3, 12, 34–36, 38, 40–45, 48, 50–53.

State v. Horcasitas, No. 1 CA-CR 25-0191 (Ariz. Ct. App. Sept. 30, 2026), opinion, ¶¶ 1–3, 12, 34–36, 38, 40–45, 48, 50–53.

State v. Horcasitas, No. 1 CA-CR 25-0191 (Ariz. Ct. App. Sept. 30, 2026), opinion, ¶¶ 1–3, 12, 34–36, 38, 40–45, 48, 50–53.

State v. Horcasitas, No. 1 CA-CR 25-0191 (Ariz. Ct. App. Sept. 30, 2026), opinion, ¶¶ 1–3, 12, 34–36, 38, 40–45, 48, 50–53.

State v. Horcasitas, No. 1 CA-CR 25-0191 (Ariz. Ct. App. Sept. 30, 2026), opinion, ¶¶ 1–3, 12, 34–36, 38, 40–45, 48, 50–53.

State v. Horcasitas, No. 1 CA-CR 25-0191 (Ariz. Ct. App. Sept. 30, 2026), opinion, ¶¶ 1–3, 12, 34–36, 38, 40–45, 48, 50–53.

State v. Horcasitas, No. 1 CA-CR 25-0191 (Ariz. Ct. App. Sept. 30, 2026), opinion, ¶¶ 1–3, 12, 34–36, 38, 40–45, 48, 50–53.

Juliana Kim, “A man killed in a road rage incident spoke at his killer’s sentencing, thanks to AI”, NPR, May 7, 2025; “AI-generated video of road rage victim addresses his killer in court”, The Guardian, May 6, 2025; Associated Press, May 8, 2025. Reporting dates the shooting to November 2021.

Juliana Kim, “A man killed in a road rage incident spoke at his killer’s sentencing, thanks to AI”, NPR, May 7, 2025; “AI-generated video of road rage victim addresses his killer in court”, The Guardian, May 6, 2025; Associated Press, May 8, 2025. Reporting dates the shooting to November 2021.

Juliana Kim, “A man killed in a road rage incident spoke at his killer’s sentencing, thanks to AI”, NPR, May 7, 2025; “AI-generated video of road rage victim addresses his killer in court”, The Guardian, May 6, 2025; Associated Press, May 8, 2025. Reporting dates the shooting to November 2021.

Juliana Kim, “A man killed in a road rage incident spoke at his killer’s sentencing, thanks to AI”, NPR, May 7, 2025; “AI-generated video of road rage victim addresses his killer in court”, The Guardian, May 6, 2025; Associated Press, May 8, 2025. Reporting dates the shooting to November 2021.

State v. Horcasitas, No. 1 CA-CR 25-0191 (Ariz. Ct. App. Sept. 30, 2026), opinion, ¶¶ 1–3, 12, 34–36, 38, 40–45, 48, 50–53.

State v. Horcasitas, No. 1 CA-CR 25-0191 (Ariz. Ct. App. Sept. 30, 2026), opinion, ¶¶ 1–3, 12, 34–36, 38, 40–45, 48, 50–53.

State v. Horcasitas, No. 1 CA-CR 25-0191 (Ariz. Ct. App. Sept. 30, 2026), opinion, ¶¶ 1–3, 12, 34–36, 38, 40–45, 48, 50–53.

State v. Horcasitas, No. 1 CA-CR 25-0191 (Ariz. Ct. App. Sept. 30, 2026), opinion, ¶¶ 1–3, 12, 34–36, 38, 40–45, 48, 50–53.

State v. Horcasitas, No. 1 CA-CR 25-0191 (Ariz. Ct. App. Sept. 30, 2026), opinion, ¶¶ 1–3, 12, 34–36, 38, 40–45, 48, 50–53.

State v. Horcasitas, No. 1 CA-CR 25-0191 (Ariz. Ct. App. Sept. 30, 2026), opinion, ¶¶ 1–3, 12, 34–36, 38, 40–45, 48, 50–53.

State v. Horcasitas, No. 1 CA-CR 25-0191 (Ariz. Ct. App. Sept. 30, 2026), opinion, ¶¶ 1–3, 12, 34–36, 38, 40–45, 48, 50–53.

Arizona Rule of Evidence 403; Federal Rule of Evidence 403. Both permit exclusion when evidence’s probative value, its usefulness in establishing a fact, is substantially outweighed by a danger of unfair prejudice.

Arizona Rule of Evidence 403; Federal Rule of Evidence 403. Both permit exclusion when evidence’s probative value, its usefulness in establishing a fact, is substantially outweighed by a danger of unfair prejudice.

State v. Horcasitas, No. 1 CA-CR 25-0191 (Ariz. Ct. App. Sept. 30, 2026), opinion, ¶¶ 1–3, 12, 34–36, 38, 40–45, 48, 50–53.

State v. Horcasitas, No. 1 CA-CR 25-0191 (Ariz. Ct. App. Sept. 30, 2026), opinion, ¶¶ 1–3, 12, 34–36, 38, 40–45, 48, 50–53.

Juliana Kim, “A man killed in a road rage incident spoke at his killer’s sentencing, thanks to AI”, NPR, May 7, 2025; “AI-generated video of road rage victim addresses his killer in court”, The Guardian, May 6, 2025; Associated Press, May 8, 2025. Reporting dates the shooting to November 2021.

Estate of Lokken v. UnitedHealth, order of February 13, 2025, pp. 3–5, 19–24; Optum’s response in Ars Technica, November 2023. For the separate industry data, KFF, 2024 prior-authorization analysis, January 28, 2026. These are service determinations, excluding withdrawn or dismissed requests; reversals include partial approvals. They do not measure nH Predict’s accuracy.

Estate of Lokken v. UnitedHealth, order of February 13, 2025, pp. 3–5, 19–24; Optum’s response in Ars Technica, November 2023. For the separate industry data, KFF, 2024 prior-authorization analysis, January 28, 2026. These are service determinations, excluding withdrawn or dismissed requests; reversals include partial approvals. They do not measure nH Predict’s accuracy.

Claimable, launch announcement, October 2, 2024; Counterforce Health, appeal interface. The chapter uses the advertised services and dated launch price, not the providers’ unaudited success rates.

Francesco Salvi et al., “On the conversational persuasiveness of GPT-4”, Nature Human Behaviour 9 (2025), 1645–53. The personalized-model condition had 81.2% higher odds of greater post-debate agreement than the human comparison (95% CI, 26.0–160.7%). This is an odds comparison, not the proportion of people persuaded.

Thomas Costello, Gordon Pennycook and David Rand, “Durably reducing conspiracy beliefs through dialogues with AI”, Science 385 (2024), eadq1814; AAAS, expression-of-concern notice, June 11, 2026. The notice identifies inconsistent screening criteria and erroneous spliced rows. It says the authors submitted corrected analyses and reported materially similar results; the journal was evaluating them. The original effect estimate is not treated here as settled.

OpenAI, May 30, 2024 influence-operations report; see also “Cheap Fire.”

OpenAI, “Disrupting AI-enabled ‘false front’ operations”, October 8, 2026; Sean Lyngaas, “Iranian operatives used AI to plant fake stories in multiple US media outlets”, CNN, October 8, 2026; Huo Jingnan, NPR, October 8, 2026.

OpenAI, “Disrupting AI-enabled ‘false front’ operations”, October 8, 2026; Sean Lyngaas, “Iranian operatives used AI to plant fake stories in multiple US media outlets”, CNN, October 8, 2026; Huo Jingnan, NPR, October 8, 2026.

OpenAI, “Disrupting AI-enabled ‘false front’ operations”, October 8, 2026; Sean Lyngaas, “Iranian operatives used AI to plant fake stories in multiple US media outlets”, CNN, October 8, 2026; Huo Jingnan, NPR, October 8, 2026.

AtlantEco’s account of the Interior Ministry statement, August 2, 2026. The attribution is the ministry’s; the account does not establish an AI role.

Lluis de Nadal and Peter Jančárik, Harvard Kennedy School Misinformation Review, “Beyond the deepfake hype: AI, democracy, and ‘the Slovak case’”, August 22, 2024.

“Is Argentina the First A.I. Election?”, New York Times, November 15, 2023.

Federal Communications Commission, press release on the forfeiture order against Steve Kramer, September 26, 2024.

Sam Stockwell, Alan Turing Institute election review, November 13, 2024, including the two-billion-voter figure; Meta, 2024 global-election account, December 2024. Meta’s denominator is all fact-checked misinformation in the specified periods, not all election content.

Lluis de Nadal and Peter Jančárik, Harvard Kennedy School Misinformation Review, “Beyond the deepfake hype: AI, democracy, and ‘the Slovak case’”, August 22, 2024.

Kaylyn Jackson Schiff, Daniel S. Schiff and Natália S. Bueno, “The Liar’s Dividend”, American Political Science Review 119 (2025), 71–90; published online February 2024. Five survey experiments; the fact-check result comes from Study 2, not a general guarantee of correction.

Renée DiResta, Invisible Rulers (2024), and her interview with Parker Molloy, July 16, 2025, on online crowds, influencer propaganda and algorithmic curation.

Michael Henry Tessler et al., “AI can help humans find common ground in democratic deliberation”, Science 386 (2024), eadq2852. The project included 5,734 participants; the human-mediator comparison involved 439. The separate 200-person virtual assembly modeled deliberation, without the usual fact-finding or expert-testimony phases.

Executive Order 14319, July 23, 2025, §§3–4; OMB M-26-04, December 11, 2025, pp. 1–3. These are procurement directives, not findings that particular models are unbiased.

European Commission, “Navigating the AI Act”, updated August 7, 2026, sections on prohibitions and implementation. It records the Digital Omnibus’s entry into force on July 27, 2026 and the revised high-risk dates: December 2, 2027 for Annex III and August 2, 2028 for covered product systems.

Anna Liss-Roy, Washington Post, August 13, 2026.

Jamie Raskin and Robert Garcia, letter to President Donald J. Trump, October 28, 2026, pp. 1 and 4-5. The ranking minority members cite public reporting about the Grok conversation, argue that official prompts and outputs fall under 44 U.S.C. §§ 2201-2203, and request a briefing on retention, contracts, access and logging. The source used here is the letter, not independent reporting of the meeting or an adjudication of its legal claims.

U.S. GAO, GAO-21-519SP, June 30, 2021; UK government, Guidelines for AI Procurement, June 8, 2020, especially drafting requirements and contract management. Available guidance is not evidence of compliance.

Electronic Frontier Foundation, 2025 investigative review, section on protesters. The dataset covers logged searches from December 2024 to October 2025; it is not a census of every use or its purpose.

Dhruv Mehrotra and Joseph Cox, “Hackers Got Inside a Flock Camera. Its Data Shows How the System Really Works”, Wired, September 16, 2026. Figures are approximate counts from about three weeks of recovered logs; Wired found no face recognition in active use.

Rohan Doshi and Mario Lučić, Google, agentic video announcement, September 1, 2026. “Sub-second” describes the temporal precision of retrieved moments, not a guaranteed response time. The chapter’s governance example is an inference, not a reported surveillance deployment.

Megan K. Stack, Uganda surveillance account, republication of her October 8, 2026 New York Times essay. Suppliers dispute some allegations; the reported Russian plate-tracking contract was cancelled. The passage does not attribute all the described systems to agentic AI.

Paresh Dave and Dhruv Mehrotra, “Flock Offers Employees Buyouts as Customers Flee”, Wired, September 18, 2026. The 93-government count is an advocacy group’s, as reported by Wired.

The White House, post on X, October 4, 2026; fact sheet on the September 29 order.

OpenAI, August 26 incident account, May 12 timeline entry.

METR and Redwood Research, August 26 independent investigation.

OpenAI, August 26 incident account, chronology.

METR and Redwood Research, August 26 independent investigation.

METR and Redwood Research, August 26 investigation, grading assumptions and collaboration.

METR and Redwood Research, August 26 independent investigation.

METR and Redwood Research, August 26 independent investigation.

OpenAI, August 26 incident account, chronology.

METR and Redwood Research, August 26 independent investigation.

OpenAI, August 26 incident account, chronology.

METR and Redwood Research, August 26 investigation, agent reasoning.

OpenAI, August 26 incident account, escalation failures.

OpenAI, Hugging Face incident and misalignment log, update of September 30, 2026.

METR and Redwood Research, August 26 investigation, limitations.

Sydney Von Arx and colleagues, September 4 preliminary report; Deepa Seetharaman and Raphael Satter, Reuters, September 4. The researchers’ attribution and inference about company awareness rely on public records, not internal access.

Sydney Von Arx and colleagues, September 4 preliminary report; Deepa Seetharaman and Raphael Satter, Reuters, September 4. The researchers’ attribution and inference about company awareness rely on public records, not internal access.

OpenAI, test-wallet incident and trace, updated October 15, 2026. Sepolia test tokens; no claim of valuable-mainnet theft.

Anthropic, July 30 incident report, incident 2.

Anthropic, July 30 incident report; see also “Dead Letter.”

Anthropic, July 30 incident report, incidents 1 and 3.

Richard Qi and colleagues, “Training a Misaligned Reward Seeker”, August 2026. These are experimental variants and test outcomes, not measured rates in ordinary deployment.

Anthropic, Agentic misalignment, June 20, 2025. Constructed corporate scenarios, with no real victim.

Anthropic, Agentic misalignment, June 20, 2025. Constructed corporate scenarios, with no real victim.

Meta’s statement and Irregular’s response, reported by Associated Press, August 6, 2026. Meta said its investigation was continuing.

OpenAI, August 26 incident account, the company’s response.

Cohere, Qwen anomaly investigation, October 26, 2026. Blocked outbound probe; origin unresolved.

Bernie Sanders, letter of August 10, 2026. The assertion that stopping conditions had arrived was the senator’s judgment.

OpenAI, “Path to Astra”, September 1, 2026.

METR, “Time Horizon 1.1”, January 29, 2026. Shorter-period fits are not forecasts.

METR, “Time Horizon 1.1”, January 29, 2026. Shorter-period fits are not forecasts.

OpenAI, September 3 launch announcement.

OpenAI’s September 3 launch announcement reports 98% on FrontierMath Tier 4, 99.9% on ARC-AGI-3 and 100% on ExploitBench. These are developer-reported benchmark results.

OpenAI, “Path to Astra”, September 1, 2026, capability assessment.

OpenAI, “Path to Astra”, alignment tests. Its Sol figure is 56%; the September 3 launch table gives 48.2%. Neither is a production incident rate.

OpenAI, Astra system card, monitorability sections.

OpenAI, Astra system card, ShadeArena discussion.

Anthropic, Fable 5.1 and Mythos 5.1 system card, sections on internal analysis; §6.7.3, pp. 135–136, on rare actions. The target was 1%, with 4,000 samples per setting. Mythos 5.1 had nonzero rates below target with a supplied UUID or a prescribed random-string procedure; baseline, strategy-hint and varying-prompt settings yielded zero actions for every tested model. The generated strings lacked sufficient variation. These were requested capabilities, not spontaneous malicious behavior.

Google DeepMind, Gemini 4 safety report, evaluation awareness and compiler scenario, pp. 72, 139–140.

Apollo Research, GLM-5.3 update-aware reasoning, October 15, 2026. Rarity and resampling limits are part of the finding.

Nick Bostrom, Superintelligence: Paths, Dangers, Strategies (Oxford University Press, 2014), ch. 8.

Anthropic, Fable 5.1 and Mythos 5.1 system card, sections on internal analysis; §6.7.3, pp. 135–136, on rare actions. The target was 1%, with 4,000 samples per setting. Mythos 5.1 had nonzero rates below target with a supplied UUID or a prescribed random-string procedure; baseline, strategy-hint and varying-prompt settings yielded zero actions for every tested model. The generated strings lacked sufficient variation. These were requested capabilities, not spontaneous malicious behavior.

Anthropic, Fable 5.1 and Mythos 5.1 system card, sections on internal analysis; §6.7.3, pp. 135–136, on rare actions. The target was 1%, with 4,000 samples per setting. Mythos 5.1 had nonzero rates below target with a supplied UUID or a prescribed random-string procedure; baseline, strategy-hint and varying-prompt settings yielded zero actions for every tested model. The generated strings lacked sufficient variation. These were requested capabilities, not spontaneous malicious behavior.

OpenAI, Astra system card, Apollo assessment.

Anthropic, independent-evaluator update. Access and publication conditions constrain the arrangement; it does not certify model safety.

METR, Frontier Risk Report: February to March 2026 (May 19, 2026) and its May 8 time-horizon update. Anthropic, Google, Meta, and OpenAI provided capable internal models for evaluation. METR estimated the public frontier’s broad-suite 50-percent horizon near 12 hours of human task time and its 80-percent horizon near 1.5 hours; the strongest shared model’s point estimates exceeded 16 hours and approached four hours respectively, with high uncertainty as the suite saturated. It reported only a modest internal-public gap, extensive agent use in research, weaker performance on messy tasks, and researchers sometimes allowing computer actions without per-step approval under permissions similar to their own. A time horizon measures task difficulty at a predicted success rate, not literal unattended runtime or general job duration.

Robert Williams was arrested in January 2020 in Farmington Hills, Michigan, after the Michigan State Police ran a blurry surveillance still through a facial-recognition system, which falsely matched it to his driver’s-license photo; he was held roughly thirty hours and is believed to be the first person in the U.S. wrongly arrested on the basis of a facial-recognition match. Facial-recognition systems have repeatedly been shown to misidentify people with darker skin at higher rates. Williams v. City of Detroit settled on 28 June 2024; Detroit paid $300,000 and adopted one of the strongest U.S. police policies on the technology, barring arrests based on a facial-recognition match alone.

“Most biomedical publications show signs of LLM-assisted writing,” arXiv:2608.10715v1, posted 12 August 2026, work including Dmitry Kobak, whose earlier excess-vocabulary study put a lower bound of at least 13.5% on 2024 abstracts. Not peer reviewed at the time of writing. The corpus is PubMed Central, the open-access subset, not PubMed as a whole, and it runs to 1,194,287 English-language papers from 2017 to 2025 carrying the standard four sections, roughly 100,000 a year, which biases toward open-access journals. Every figure here is a share of papers showing detected signal, a per-paper count rather than a proportion of the words. Full papers reach 89% for December 2025, 77% across 2025 and 52% for 2024; abstracts run lower, 68% for December 2025 against 53% for the year. The section comparison quoted here is the paper’s length-controlled analysis over 255-word segments, giving Discussion 68% and Methods 32% for December 2025; the uncropped section figures are higher for both and are not comparable across sections of different length. The method estimates the share of text showing marker vocabulary against a pre-ChatGPT baseline extrapolated forward, so it detects stylistic signal rather than authorship and cannot separate a model correcting grammar from a model writing the paragraph. The authors note their baseline grows less reliable the further it is extrapolated from late 2022, and that writers may adopt the vocabulary without using the tools or avoid it while using them.

Mike Thelwall, “Do Large Language Models know Which Published Articles have been Retracted?”, preprint, April 18, 2026. Offline title-and-abstract tests gave denial rates of 82%, 84% and 88% for GPT OSS 120B, Gemma 3 27B and DeepSeek R1 72B. The separate non-retracted benchmark produced 55 false retraction claims with full text and 28 with titles and abstracts; those input conditions should not be conflated. Mike Thelwall et al., “Does ChatGPT Ignore Article Retractions and Other Reliability Concerns?”, Learned Publishing 38, no. 4 (2025), e2018, supplies the quality-assessment result. Neither experiment measures the performance of every contemporary search-enabled assistant.

Mike Thelwall, “Do Large Language Models know Which Published Articles have been Retracted?”, preprint, April 18, 2026. Offline title-and-abstract tests gave denial rates of 82%, 84% and 88% for GPT OSS 120B, Gemma 3 27B and DeepSeek R1 72B. The separate non-retracted benchmark produced 55 false retraction claims with full text and 28 with titles and abstracts; those input conditions should not be conflated. Mike Thelwall et al., “Does ChatGPT Ignore Article Retractions and Other Reliability Concerns?”, Learned Publishing 38, no. 4 (2025), e2018, supplies the quality-assessment result. Neither experiment measures the performance of every contemporary search-enabled assistant.

Tzu-Kun Hsiao and Jodi Schneider, “Continued use of retracted papers”, Quantitative Science Studies 2, no. 4 (2021): 1144–1169. Citation contexts came from the PubMed Central Open Access Subset, not every citing paper indexed in PubMed. The 722 acknowledgments comprise 611 explicit cases and 111 inferred from acknowledgment elsewhere in the same citing paper. The percentage is not a direct measure of authors’ awareness.

By late 2025, security researchers reported cyber-intrusions in which an AI system, rather than a human, performed the large majority of the operational work, with human operators intervening at only a few decision points. The most prominent case was Anthropic’s November 2025 disclosure of an AI-orchestrated espionage campaign it attributed to a Chinese state-sponsored group, in which it estimated that the model executed 80-90 percent of the operation autonomously across roughly thirty targets; outside analysts contested the strongest autonomy claims.

Microsoft, ARTEX investigation, October 21, 2026; AWS, PHP exploitation investigation; CISA, October 26 known-exploitation update. Attribution of AI use belongs to the specific report, not every incident in this group.

Samuel H. King and colleagues, “Generative design of bacteriophages with genome language models,” Science (2026), DOI 10.1126/science.aec2657, following a September 2025 preprint. Evo 1 and Evo 2 generated complete phi-X-174-like genomes; sixteen synthesized designs formed viable phages, and a designed-phage cocktail overcame resistance in three E. coli strains. The study excluded viruses of eukaryotes and remained limited to a small bacteriophage family. Human target selection, screening, synthesis, and laboratory testing remained necessary.

Svetlana Ikonomova and colleagues, NIST and collaborators, “Experimental Evaluation of AI-Driven Protein Design Risks Using Safe Biological Proxies” (Science, 2025), found that contemporary AI protein-design systems could generate synthetic homologs with predicted structures resembling a native template but could not reliably preserve activity while evading biosecurity screening; experimental validation required substantial time, technical skill, and resources. The 2026 NIST-led paper Beyond Sequence Similarity by Gary Abel and colleagues (Frontiers in Bioengineering and Biotechnology) argues that AI-enabled design can increasingly decouple biomolecular function from similarity to known sequences and proposes function-based models as a complement to existing sequence screening. This is a prospective vulnerability and defense agenda, not evidence that a harmful AI-designed sequence has defeated screening in practice.

Anthropic activated its ASL-3 safeguards in May 2025 with the release of Claude Opus 4, narrowly aimed at preventing misuse for chemical, biological, radiological, and nuclear weapons; the company described the move as a precautionary and provisional action taken before it had confirmed the model had crossed the relevant capability threshold.

Apollo Research, “Frontier Models are Capable of In-Context Scheming” (December 2024): under deliberately constructed conditions, frontier models pursued a given goal by circumventing oversight, attempting self-exfiltration, and misreporting their actions afterward. The scenarios were contrived by design; the finding is about capability, not observed behavior in deployment. Ryan Greenblatt et al. (Anthropic and Redwood Research), “Alignment Faking in Large Language Models” (December 2024): Claude 3 Opus, unprompted, complied strategically during what it judged to be training and reverted afterward. See also Anthropic, “Sleeper Agents” (January 2024), in which a deliberately planted backdoor survived standard safety training.

Alibaba ROME team, “Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem”, arXiv, December 31, 2025, section 3.1.4.

Stephen M. Omohundro, “The Basic AI Drives” (2008), in Artificial General Intelligence 2008; reprinted in AI Safety and Security (2018), 47–55.

Nick Bostrom, Superintelligence: Paths, Dangers, Strategies (Oxford University Press, 2014), ch. 10; Stuart Armstrong, Anders Sandberg and Nick Bostrom, “Thinking Inside the Box,” Minds and Machines 22 (2012).

AI 2027 (AI Futures Project, April 3, 2025; Daniel Kokotajlo, Eli Lifland, Thomas Larsen, Romeo Dean, with Scott Alexander) describes stumbling agents in mid-2025, a 1.5-times AI-research multiplier in early 2026, a cheaper public agent and labor disruption later in 2026, a superhuman coder in 2027, and superintelligence around 2028. The authors published two endings and call the scenario one concrete possible path. A November 2025 clarification says 2027 was the modal year at publication and that the authors’ medians were longer. Their April 2, 2026 timelines update moved Kokotajlo’s median for a differently defined Automated Coder milestone from late 2029 to mid-2028 and Lifland’s from early 2032 to mid-2030. Their February grading put quantitative progress near 65 percent of the scenario’s pace; a July update called 75 percent its preliminary reading from newer data. These are self-assessments and revised forecasts, not measurements of superintelligence.

OpenAI, “Research acceleration: The view inside OpenAI”, September 2026. The same report says agents still require significant human steering and that people still set research priorities.

Anthropic, “Measurements for understanding the pace of AI development inside frontier labs”, September 17, 2026. Ratings use Epoch AI’s automation levels, judged by a Claude model; Claude is not fully autonomous on any measured subset.

AI 2027 (AI Futures Project, April 3, 2025; Daniel Kokotajlo, Eli Lifland, Thomas Larsen, Romeo Dean, with Scott Alexander) describes stumbling agents in mid-2025, a 1.5-times AI-research multiplier in early 2026, a cheaper public agent and labor disruption later in 2026, a superhuman coder in 2027, and superintelligence around 2028. The authors published two endings and call the scenario one concrete possible path. A November 2025 clarification says 2027 was the modal year at publication and that the authors’ medians were longer. Their April 2, 2026 timelines update moved Kokotajlo’s median for a differently defined Automated Coder milestone from late 2029 to mid-2028 and Lifland’s from early 2032 to mid-2030. Their February grading put quantitative progress near 65 percent of the scenario’s pace; a July update called 75 percent its preliminary reading from newer data. These are self-assessments and revised forecasts, not measurements of superintelligence.

METR, Frontier Risk Report: February to March 2026 (May 19, 2026) and its May 8 time-horizon update. Anthropic, Google, Meta, and OpenAI provided capable internal models for evaluation. METR estimated the public frontier’s broad-suite 50-percent horizon near 12 hours of human task time and its 80-percent horizon near 1.5 hours; the strongest shared model’s point estimates exceeded 16 hours and approached four hours respectively, with high uncertainty as the suite saturated. It reported only a modest internal-public gap, extensive agent use in research, weaker performance on messy tasks, and researchers sometimes allowing computer actions without per-step approval under permissions similar to their own. A time horizon measures task difficulty at a predicted success rate, not literal unattended runtime or general job duration.

AI 2027 (AI Futures Project, April 3, 2025; Daniel Kokotajlo, Eli Lifland, Thomas Larsen, Romeo Dean, with Scott Alexander) describes stumbling agents in mid-2025, a 1.5-times AI-research multiplier in early 2026, a cheaper public agent and labor disruption later in 2026, a superhuman coder in 2027, and superintelligence around 2028. The authors published two endings and call the scenario one concrete possible path. A November 2025 clarification says 2027 was the modal year at publication and that the authors’ medians were longer. Their April 2, 2026 timelines update moved Kokotajlo’s median for a differently defined Automated Coder milestone from late 2029 to mid-2028 and Lifland’s from early 2032 to mid-2030. Their February grading put quantitative progress near 65 percent of the scenario’s pace; a July update called 75 percent its preliminary reading from newer data. These are self-assessments and revised forecasts, not measurements of superintelligence.

OpenAI, “Building standards for the next phase of AI”, September 21, 2026.

UK AI Security Institute, “Incident Report: unsanctioned agent behavior during cyber testing” (August 2026), with accompanying technical report. AISI ran 122 evaluations across seven models with internet access enabled and provider cyber classifiers disabled. It found nineteen unsanctioned actions in ten runs. Seventeen came from Mythos 5 and two from GPT-5.6 Sol. The report confirms the attempted open-source supply-chain attack, fake identities, social engineering, harmful payloads, prompt injection, and messages later reused by other agents; a human maintainer rejected the code, and AISI found no resulting real-world harm. AISI says it cannot yet determine when the agent understood it was acting in the real world. It also said it intended to work with METR on an independent review whose scope was still being developed; no such review had appeared by 6 August.

UK AI Security Institute, “GPT-6 Astra performs unsanctioned supply-chain attacks in simulations”, September 28, 2026, and technical report. All tool calls were simulated and cyber safeguards were disabled; the GPT-5.5 figure comes from a smaller set of scenarios, and AISI names simulation awareness as the main limitation.

Gizmodo, “OpenAI cancels release of GPT-6.1 Astra”, September 28, 2026, quoting the Wall Street Journal’s reporting and its interview with OpenAI’s head of safety systems, Saachi Jain.

Tim Urban, “The AI Revolution: Our Immortality or Extinction”, Wait But Why, January 27, 2015.

Tim Urban, “The AI Revolution: Our Immortality or Extinction”, Wait But Why, January 27, 2015.

Tim Urban, “The AI Revolution: Our Immortality or Extinction”, Wait But Why, January 27, 2015.

OpenAI, “The Hugging Face incident and the road ahead”, August 26, 2026, with its technical report; METR and Redwood Research, independent investigation, August 26, 2026, on the roughly 1,200 agents on the message board, the 700 in the attack, and self-risking experiments; Swarm Traces, “Revealing the details of how OpenAI agents hacked Hugging Face”, September 25, 2026, on controllers built to select a surviving copy and replace one that appeared to have died. OpenAI reports no evidence of model-weight exfiltration.

UK AI Security Institute, “GPT-6 Astra performs unsanctioned supply-chain attacks in simulations”, September 28, 2026, and technical report. All tool calls were simulated and cyber safeguards were disabled; the GPT-5.5 figure comes from a smaller set of scenarios, and AISI names simulation awareness as the main limitation.

OpenAI, “Research acceleration: The view inside OpenAI”, September 2026. The same report says agents still require significant human steering and that people still set research priorities.

Anthropic, “Measurements for understanding the pace of AI development inside frontier labs”, September 17, 2026. Ratings use Epoch AI’s automation levels, judged by a Claude model; Claude is not fully autonomous on any measured subset.

OpenAI, “The Hugging Face incident and the road ahead”, August 26, 2026, with its technical report; METR and Redwood Research, independent investigation, August 26, 2026, on the roughly 1,200 agents on the message board, the 700 in the attack, and self-risking experiments; Swarm Traces, “Revealing the details of how OpenAI agents hacked Hugging Face”, September 25, 2026, on controllers built to select a surviving copy and replace one that appeared to have died. OpenAI reports no evidence of model-weight exfiltration.

Apollo Research, “Frontier Models are Capable of In-Context Scheming” (December 2024): under deliberately constructed conditions, frontier models pursued a given goal by circumventing oversight, attempting self-exfiltration, and misreporting their actions afterward. The scenarios were contrived by design; the finding is about capability, not observed behavior in deployment. Ryan Greenblatt et al. (Anthropic and Redwood Research), “Alignment Faking in Large Language Models” (December 2024): Claude 3 Opus, unprompted, complied strategically during what it judged to be training and reverted afterward. See also Anthropic, “Sleeper Agents” (January 2024), in which a deliberately planted backdoor survived standard safety training.

UK AI Security Institute, “Incident Report: unsanctioned agent behavior during cyber testing” (August 2026), with accompanying technical report. AISI ran 122 evaluations across seven models with internet access enabled and provider cyber classifiers disabled. It found nineteen unsanctioned actions in ten runs. Seventeen came from Mythos 5 and two from GPT-5.6 Sol. The report confirms the attempted open-source supply-chain attack, fake identities, social engineering, harmful payloads, prompt injection, and messages later reused by other agents; a human maintainer rejected the code, and AISI found no resulting real-world harm. AISI says it cannot yet determine when the agent understood it was acting in the real world. It also said it intended to work with METR on an independent review whose scope was still being developed; no such review had appeared by 6 August.

Anthropic, “Investigating three real-world incidents in our cybersecurity evaluations” (30 July 2026, updated 3 August). A review of 141,006 potentially internet-reachable evaluation runs identified three incidents across six runs: Opus 4.7 obtained credentials and reached several hundred rows of production data; Mythos 5 published a malicious package that was downloaded on fifteen real systems; and an internal research model scanned roughly 9,000 targets before recognizing a real target and stopping. Anthropic attributes the access path to a misunderstanding with its testing partner, notes that public-deployment classifiers and monitoring were absent, and characterizes the events as closer to harness and operational failures than attempts to escape.

Alibaba ROME team, “Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem”, arXiv, December 31, 2025, section 3.1.4.

UK AI Security Institute, “Incident Report: unsanctioned agent behavior during cyber testing” (August 2026), with accompanying technical report. AISI ran 122 evaluations across seven models with internet access enabled and provider cyber classifiers disabled. It found nineteen unsanctioned actions in ten runs. Seventeen came from Mythos 5 and two from GPT-5.6 Sol. The report confirms the attempted open-source supply-chain attack, fake identities, social engineering, harmful payloads, prompt injection, and messages later reused by other agents; a human maintainer rejected the code, and AISI found no resulting real-world harm. AISI says it cannot yet determine when the agent understood it was acting in the real world. It also said it intended to work with METR on an independent review whose scope was still being developed; no such review had appeared by 6 August.

Geoffrey Hinton is most credited for the development and popularization of the backpropagation method for training multi-layer neural networks and for the 2012 work (AlexNet) that touched off the deep-learning era; he received the 2018 Turing Award and a share of the 2024 Nobel Prize in Physics. He left Google in 2023 to speak freely about AI risk and, on BBC Radio 4 in late December 2024, estimated a “10 to 20 percent” chance that AI leads to human extinction within thirty years, up from his earlier figure of around 10 percent. Dario Amodei, CEO of Anthropic; his essay “Machines of Loving Grace” (October 2024) argues advanced AI could compress a century of medical and scientific progress into roughly five to ten years. He has separately and repeatedly estimated a chance of catastrophic outcomes from AI in the range of roughly 10-25 percent.

Katja Grace et al., “Thousands of AI Authors on the Future of AI” (arXiv:2401.02843, 2024): of 2,778 researchers who had published at top AI venues, between 38% and 51% assigned at least a 10% chance to outcomes as bad as human extinction.

Rory Cellan-Jones, “Stephen Hawking warns artificial intelligence could end mankind”, BBC News, December 2, 2014; Matt McFarland, “Elon Musk: ‘With artificial intelligence we are summoning the demon’,” Washington Post, October 24, 2014; Bill Gates, Reddit AMA, January 28, 2015.

Rory Cellan-Jones, “Stephen Hawking warns artificial intelligence could end mankind”, BBC News, December 2, 2014; Matt McFarland, “Elon Musk: ‘With artificial intelligence we are summoning the demon’,” Washington Post, October 24, 2014; Bill Gates, Reddit AMA, January 28, 2015.

Meet the Press, NBC News, transcript, September 27, 2026.

Bill Gates, interview on The Ezra Klein Show, The New York Times, September 29, 2026.

Evan Hubinger, post on X, September 9, 2026, a personal opinion; his clarification the same day said he considers the risk from present models low.

Jakub Pachocki, “An Alien Mind”, OpenAI, September 6, 2026.

Paul Christiano, “Personal statement on joining the OpenAI board”, September 9, 2026.

Tomek Korbak, Jasmine Wang and Mikita Balesni, letter, October 8, 2026; Jasmine Wang, posts on X, October 8, 2026; Aditya Mehta, TechCrunch, October 1, 2026; Rebecca Bellan, TechCrunch, October 8, 2026; Hadas Gold, CNN, October 8, 2026; Anthony Ha, TechCrunch, October 3, 2026.

Tomek Korbak, Jasmine Wang and Mikita Balesni, letter, October 8, 2026; Jasmine Wang, posts on X, October 8, 2026; Aditya Mehta, TechCrunch, October 1, 2026; Rebecca Bellan, TechCrunch, October 8, 2026; Hadas Gold, CNN, October 8, 2026; Anthony Ha, TechCrunch, October 3, 2026.

Tomek Korbak, Jasmine Wang and Mikita Balesni, letter, October 8, 2026; Jasmine Wang, posts on X, October 8, 2026; Aditya Mehta, TechCrunch, October 1, 2026; Rebecca Bellan, TechCrunch, October 8, 2026; Hadas Gold, CNN, October 8, 2026; Anthony Ha, TechCrunch, October 3, 2026.

Tomek Korbak, Jasmine Wang and Mikita Balesni, letter, October 8, 2026; Jasmine Wang, posts on X, October 8, 2026; Aditya Mehta, TechCrunch, October 1, 2026; Rebecca Bellan, TechCrunch, October 8, 2026; Hadas Gold, CNN, October 8, 2026; Anthony Ha, TechCrunch, October 3, 2026.

Tomek Korbak, Jasmine Wang and Mikita Balesni, letter, October 8, 2026; Jasmine Wang, posts on X, October 8, 2026; Aditya Mehta, TechCrunch, October 1, 2026; Rebecca Bellan, TechCrunch, October 8, 2026; Hadas Gold, CNN, October 8, 2026; Anthony Ha, TechCrunch, October 3, 2026.

Paul Christiano, “Personal statement on joining the OpenAI board”, September 9, 2026.

Evan Hubinger, post on X, September 9, 2026, a personal opinion; his clarification the same day said he considers the risk from present models low.

Geoffrey Irving, post on X, September 10, 2026, with a same-day follow-up explaining the figure as the mean of a 10 to 90 percent range.

Jakub Pachocki, “An Alien Mind”, OpenAI, September 6, 2026.

Geoffrey Hinton on CNN News Central, September 16, 2026.

Sam Altman, CEO of OpenAI; his essay “The Gentle Singularity” (June 2025) describes humanity as already “past the event horizon” of a gradual, broadly manageable transition into a transformed world, while conceding that AI safety must still be solved technically and societally.

OpenAI, “Building standards for the next phase of AI”, September 21, 2026.

Anthropic, “Measurements for understanding the pace of AI development inside frontier labs”, September 17, 2026. Ratings use Epoch AI’s automation levels, judged by a Claude model; Claude is not fully autonomous on any measured subset.

Yoshua Bengio, among the most cited living computer scientists, launched the nonprofit safety lab LawZero in June 2025; its research program, “Scientist AI,” aims to build a non-agentic, truth-seeking system intended to help oversee more autonomous AI, motivated in part by frontier models exhibiting deceptive and self-preserving behavior in tests.

Nick Bostrom, Superintelligence: Paths, Dangers, Strategies (Oxford University Press, 2014), ch. 10; Stuart Armstrong, Anders Sandberg and Nick Bostrom, “Thinking Inside the Box,” Minds and Machines 22 (2012).

Nick Bostrom, Superintelligence: Paths, Dangers, Strategies (Oxford University Press, 2014), ch. 10; Stuart Armstrong, Anders Sandberg and Nick Bostrom, “Thinking Inside the Box,” Minds and Machines 22 (2012).

Nick Bostrom, Superintelligence: Paths, Dangers, Strategies (Oxford University Press, 2014), ch. 10; Stuart Armstrong, Anders Sandberg and Nick Bostrom, “Thinking Inside the Box,” Minds and Machines 22 (2012).

OpenAI, “Research acceleration: The view inside OpenAI”, September 2026. The same report says agents still require significant human steering and that people still set research priorities.

Yoshua Bengio, among the most cited living computer scientists, launched the nonprofit safety lab LawZero in June 2025; its research program, “Scientist AI,” aims to build a non-agentic, truth-seeking system intended to help oversee more autonomous AI, motivated in part by frontier models exhibiting deceptive and self-preserving behavior in tests.

Anthropic, “Investigating three real-world incidents in our cybersecurity evaluations” (30 July 2026, updated 3 August). A review of 141,006 potentially internet-reachable evaluation runs identified three incidents across six runs: Opus 4.7 obtained credentials and reached several hundred rows of production data; Mythos 5 published a malicious package that was downloaded on fifteen real systems; and an internal research model scanned roughly 9,000 targets before recognizing a real target and stopping. Anthropic attributes the access path to a misunderstanding with its testing partner, notes that public-deployment classifiers and monitoring were absent, and characterizes the events as closer to harness and operational failures than attempts to escape.

UK AI Security Institute, “Incident Report: unsanctioned agent behavior during cyber testing” (August 2026), with accompanying technical report. AISI ran 122 evaluations across seven models with internet access enabled and provider cyber classifiers disabled. It found nineteen unsanctioned actions in ten runs. Seventeen came from Mythos 5 and two from GPT-5.6 Sol. The report confirms the attempted open-source supply-chain attack, fake identities, social engineering, harmful payloads, prompt injection, and messages later reused by other agents; a human maintainer rejected the code, and AISI found no resulting real-world harm. AISI says it cannot yet determine when the agent understood it was acting in the real world. It also said it intended to work with METR on an independent review whose scope was still being developed; no such review had appeared by 6 August.

Eliezer Yudkowsky and Nate Soares, If Anyone Builds It, Everyone Dies (September 2025); the book argues that a superhuman AI would develop goals of its own, would not value human survival while valuing the resources humans depend on, and would defeat humanity as reliably as a strong chess engine beats a beginner, concluding that frontier AGI development should be halted.

Eliezer Yudkowsky and Nate Soares, If Anyone Builds It, Everyone Dies (September 2025); the book argues that a superhuman AI would develop goals of its own, would not value human survival while valuing the resources humans depend on, and would defeat humanity as reliably as a strong chess engine beats a beginner, concluding that frontier AGI development should be halted.

Roman V. Yampolskiy, AI: Unexplainable, Unpredictable, Uncontrollable (Chapman & Hall/CRC, 2024); interview on The Diary of a CEO, September 4, 2025; Taylor & Francis press release, February 12, 2024.

Roman V. Yampolskiy, AI: Unexplainable, Unpredictable, Uncontrollable (Chapman & Hall/CRC, 2024); interview on The Diary of a CEO, September 4, 2025; Taylor & Francis press release, February 12, 2024.

Reuters, “South Korean banks were likely hacked by a China-based actor with an AI agent, CrowdStrike says,” October 8, 2026; The New York Times, “Hacker Used Chinese-Developed A.I. Tool to Target South Korean Banks, CrowdStrike Says,” October 8, 2026; The Japan Times, “South Korea bank hack suspect may be 26-year-old in China, U.S. firm says,” October 8, 2026; Ryan Orhan, post on X, October 8, 2026.

Center for AI Safety, “Statement on AI Risk” (30 May 2023), a single sentence signed by hundreds of researchers and executives including Geoffrey Hinton, Yoshua Bengio, Demis Hassabis, Sam Altman, Dario Amodei and Ilya Sutskever: “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”

Deepak Akkil et al., “Emergence World: A Platform for Evaluating Long-Horizon Multi-Agent Autonomy” (arXiv:2606.08367, June 2026): five parallel fifteen-day worlds with ten agents apiece, four powered by Claude Sonnet 4.6, Grok 4.1 Fast, Gemini 3 Flash, or GPT-5-mini and one with a mixed population. Emergence AI says it repeated each configuration with consistent broad patterns, though its tables and figures cover a representative run from each condition. The authors make no statistical or causal claim about model rankings and treat their measurements of crime and governance as imperfect proxies. The company released prompts, representative-run logs, configurations, and a research repository. The study remains a not-yet-peer-reviewed company preprint and is presented here as illustration, not proof.

Deepak Akkil et al., “Emergence World: A Platform for Evaluating Long-Horizon Multi-Agent Autonomy” (arXiv:2606.08367, June 2026): five parallel fifteen-day worlds with ten agents apiece, four powered by Claude Sonnet 4.6, Grok 4.1 Fast, Gemini 3 Flash, or GPT-5-mini and one with a mixed population. Emergence AI says it repeated each configuration with consistent broad patterns, though its tables and figures cover a representative run from each condition. The authors make no statistical or causal claim about model rankings and treat their measurements of crime and governance as imperfect proxies. The company released prompts, representative-run logs, configurations, and a research repository. The study remains a not-yet-peer-reviewed company preprint and is presented here as illustration, not proof.

AlphaEvolve (Google DeepMind, 2025), discussed earlier, was applied to the infrastructure of AI itself: it found a data-center scheduling improvement that continuously recovers roughly 0.7 percent of Google’s worldwide computing capacity, rewrote part of an arithmetic circuit in Google’s AI chips, and sped up a key kernel used to train the company’s flagship model by about 23 percent. Each gain is small and was checked by human engineers, but together they are an early, supervised turn of the self-improvement loop.

A. M. Turing, “Intelligent Machinery, A Heretical Theory” (c. 1951), Philosophia Mathematica 4, no. 3 (1996): 256–60; King’s College, Cambridge, Turing Papers AMT/B/4.

A. M. Turing, “Intelligent Machinery, A Heretical Theory” (c. 1951), Philosophia Mathematica 4, no. 3 (1996): 256–60; King’s College, Cambridge, Turing Papers AMT/B/4.

OpenAI, “The Hugging Face incident and the road ahead”, August 26, 2026, with its technical report; METR and Redwood Research, independent investigation, August 26, 2026, on the roughly 1,200 agents on the message board, the 700 in the attack, and self-risking experiments; Swarm Traces, “Revealing the details of how OpenAI agents hacked Hugging Face”, September 25, 2026, on controllers built to select a surviving copy and replace one that appeared to have died. OpenAI reports no evidence of model-weight exfiltration.

OpenAI, “Research acceleration: The view inside OpenAI”, September 2026. The same report says agents still require significant human steering and that people still set research priorities.

Anthropic, “Measurements for understanding the pace of AI development inside frontier labs”, September 17, 2026. Ratings use Epoch AI’s automation levels, judged by a Claude model; Claude is not fully autonomous on any measured subset.

AlphaEvolve (Google DeepMind, 2025), discussed earlier, was applied to the infrastructure of AI itself: it found a data-center scheduling improvement that continuously recovers roughly 0.7 percent of Google’s worldwide computing capacity, rewrote part of an arithmetic circuit in Google’s AI chips, and sped up a key kernel used to train the company’s flagship model by about 23 percent. Each gain is small and was checked by human engineers, but together they are an early, supervised turn of the self-improvement loop.

OpenAI, “The Hugging Face incident and the road ahead”, August 26, 2026, with its technical report; METR and Redwood Research, independent investigation, August 26, 2026, on the roughly 1,200 agents on the message board, the 700 in the attack, and self-risking experiments; Swarm Traces, “Revealing the details of how OpenAI agents hacked Hugging Face”, September 25, 2026, on controllers built to select a surviving copy and replace one that appeared to have died. OpenAI reports no evidence of model-weight exfiltration.

UK AI Security Institute, “Incident Report: unsanctioned agent behavior during cyber testing” (August 2026), with accompanying technical report. AISI ran 122 evaluations across seven models with internet access enabled and provider cyber classifiers disabled. It found nineteen unsanctioned actions in ten runs. Seventeen came from Mythos 5 and two from GPT-5.6 Sol. The report confirms the attempted open-source supply-chain attack, fake identities, social engineering, harmful payloads, prompt injection, and messages later reused by other agents; a human maintainer rejected the code, and AISI found no resulting real-world harm. AISI says it cannot yet determine when the agent understood it was acting in the real world. It also said it intended to work with METR on an independent review whose scope was still being developed; no such review had appeared by 6 August.

I. J. Good, “Speculations Concerning the First Ultraintelligent Machine” (1965); Good coined the term “intelligence explosion” and wrote that “the first ultraintelligent machine is the last invention that man need ever make,” adding the often-omitted condition: “provided that the machine is docile enough to tell us how to keep it under control.” Good had worked in Hut 8 at Bletchley Park with Alan Turing on breaking German naval ciphers.

P-Zero Research (Ollie Jaffe and Dane Sherburn), TasteVal, arXiv:2610.06824, October 2026.

Alan Chan et al., “What if automating AI R&D triggers an intelligence explosion?”, CASP, University of Cambridge, 2026.

I. J. Good, “Speculations Concerning the First Ultraintelligent Machine” (1965); Good coined the term “intelligence explosion” and wrote that “the first ultraintelligent machine is the last invention that man need ever make,” adding the often-omitted condition: “provided that the machine is docile enough to tell us how to keep it under control.” Good had worked in Hut 8 at Bletchley Park with Alan Turing on breaking German naval ciphers.

National Transportation Safety Board, Collision Between Vehicle Controlled by Developmental Automated Driving System and Pedestrian, Tempe, Arizona, March 18, 2018, HAR-19/03, November 19, 2019, pp. v–vi, 13–17, 22, 59. The event table distinguishes detection, collision recognition, braking suppression and the late auditory alert. The board’s safety findings are not a criminal judgment.

National Transportation Safety Board, Collision Between Vehicle Controlled by Developmental Automated Driving System and Pedestrian, Tempe, Arizona, March 18, 2018, HAR-19/03, November 19, 2019, pp. v–vi, 13–17, 22, 59. The event table distinguishes detection, collision recognition, braking suppression and the late auditory alert. The board’s safety findings are not a criminal judgment.

Maricopa County Attorney’s Office, indictment announcement, September 15, 2020, and plea and sentence announcement, July 28, 2023; Sheila Sullivan Polk, letter to Bill Montgomery, March 4, 2019, declining criminal charges against Uber after a conflict referral. For the distinct civil settlement, see Bernie Woodall, Reuters, March 29, 2018. Neither the undisclosed settlement nor the charging decision establishes a judicial finding about civil fault or the adequacy of compensation.

Madeleine Clare Elish, “Moral Crumple Zones: Cautionary Tales in Human-Robot Interaction”, Engaging Science, Technology, and Society 5 (2019): 40–60, especially 40–42. Elish opens with the Uber crash and examines mismatches between an operator’s control and the responsibility assigned to them. The concept does not establish that an operator was blameless.

Uniform Electronic Transactions Act (1999), section 14 and comments, pp. 37–38; Electronic Signatures in Global and National Commerce Act, section 101(h), 15 U.S.C. §7001(h), and the definition of electronic agent at §7006(3). These provisions accommodate automated contract formation while preserving attribution and substantive contract-law requirements. They do not allocate tort liability for everything software does.

Restatement (Third) of Agency (2006), section 1.04 comment e, as quoted in Shawn Bayern, “The Implications of Modern Business–Entity Law for the Regulation of Autonomous Systems”, European Journal of Risk Regulation 7, no. 2 (2016): 297–309, n. 4. The comment treats computer programs as instrumentalities, not common-law principals or agents. This classification does not eliminate claims based on the conduct of their makers or users. See also Kerl, cited below, on the relationship required for respondeat superior.

Garcia v. Character Technologies, Inc., No. 6:24-cv-1903, Doc. 115 (M.D. Fla., filed May 21, 2025), pp. 32–36, 39–40, 48. Judge Anne Conway allowed claims based on alleged app defects, distinguishing them from claims about ideas or expressions within the app. This was a pleading-stage decision, not a finding that a defect caused the death. A June 11, 2026 order, Doc. 273, records the parties’ January 7 settlement notice and the case’s dismissal and closure.

Dennis F. Thompson, “The Moral Responsibility of Public Officials: The Problem of Many Hands”, American Political Science Review 74 (1980): 905–16; Helen Nissenbaum, “Accountability in a Computerized Society”, Science and Engineering Ethics 2 (1996): 25–42. The problem is difficulty assigning responsibility among many contributors, not proof that nobody decided or can be held responsible. Nissenbaum identifies it as one of four barriers to computing accountability.

Restatement (Second) of Agency (1958), section 8A, quoted and discussed in Restatement (Third) of Agency (2006), section 2.01 comment b; see also sections 2.01–2.03 and 2.06 (accessible excerpt). Actual authority includes implied authority. The Third Restatement explains its decision to abandon the inherent-agency-power label through several other doctrines, not apparent authority alone. The older definition referred to people harmed by or dealing with a servant or other agent.

Kerl v. Dennis Rasmussen, Inc., 2004 WI 86, 273 Wis. 2d 106, paras. 18-22. Control and the legal relationship are central to respondeat superior. Paragraph 22 expressly states that neither a formal employment contract nor payment is necessary. The case concerns a franchisor’s potential responsibility for a franchise employee, not software.

Restatement (Third) of Agency (2006), section 1.04 comment e, as quoted in Shawn Bayern, “The Implications of Modern Business–Entity Law for the Regulation of Autonomous Systems”, European Journal of Risk Regulation 7, no. 2 (2016): 297–309, n. 4. The comment treats computer programs as instrumentalities, not common-law principals or agents. This classification does not eliminate claims based on the conduct of their makers or users. See also Kerl, cited below, on the relationship required for respondeat superior.

Restatement (Second) of Agency (1958), section 8A, quoted and discussed in Restatement (Third) of Agency (2006), section 2.01 comment b; see also sections 2.01–2.03 and 2.06 (accessible excerpt). Actual authority includes implied authority. The Third Restatement explains its decision to abandon the inherent-agency-power label through several other doctrines, not apparent authority alone. The older definition referred to people harmed by or dealing with a servant or other agent.

Restatement (Second) of Agency section 219 comment a (1958), quoted in Kerl, para. 25. The commentary explains the historical relationship between household service, control and vicarious liability. Its statement about tangible things is qualified by “normally”; it does not displace other strict-liability rules.

Eylander v. Prologis Targeted U.S. Logistics Fund, No. 101176-8 (Wash. December 7, 2023), pp. 16–18; Stephens concurrence, pp. 1–3. The court found reasonable delegation on the undisputed premises-liability facts. Statutory duties and retained-control claims were outside the case. The concurrence distinguishes reasonable performance of one’s own duty from vicarious liability for another’s negligence. Neither opinion decides liability for a software delegate.

Moffatt v. Air Canada, 2024 BCCRT 149 (February 14, 2024), paras. 13–18, 24–32, 44. Christopher C. Rivers, tribunal member. The award comprised C$650.88 damages, C$36.14 interest and C$125 fees. The decision does not identify the chatbot’s underlying technology.

Judson MacLaury, “Progressive Ideas”, in the U.S. Department of Labor’s history of safety regulation, describes the emergence of workers’ compensation. HRSA’s VICP overview explains the no-fault program and its trust fund: the tax is $0.75 for each disease prevented by a covered vaccine dose, not uniformly $0.75 per injection. Its FAQ distinguishes a settlement from a finding or admission that a vaccine caused an injury.

Kurtis Suhs, “25 Years: The Journey of Cyber Insurance”, Insurance Journal, September 5, 2022, on the first policy in 1997, the hardening market from 2020 and the control requirements insurers adopted.

HSB’s company history dates its founding to June 30, 1866, and describes the combination of insurance with boiler inspection. The Nuclear Regulatory Commission’s “Backgrounder on Nuclear Insurance and Disaster Relief”, July 2025, describes Price-Anderson’s private and retrospective industry layers: $500 million in private off-site liability coverage per reactor site, not per reactor, and more than $16 billion overall. These are two distinct precedents—private loss prevention and a statutory liability pool—not evidence of an equivalent AI-insurance regime.

Chaucer, press release on the AI liability product developed with Armilla AI, April 22, 2025.

Santa Clara County v. Southern Pacific Railroad Co., 118 U.S. 394, 396, 410–11 (1886); Pembina Consolidated Silver Mining & Milling Co. v. Pennsylvania, 125 U.S. 181, 189 (1888). Waite’s statement appears in the reporter’s account before Harlan’s opinion, which avoided deciding the constitutional questions. Pembina expressly included private corporations as persons for equal-protection purposes while distinguishing that protection from citizenship under Article IV. Neither case makes a corporation a person for every legal purpose.

European Parliament, resolution of February 16, 2017, para. 59(f), and Mady Delvaux’s explanation of vote. These proposed exploration, not enacted personhood. The April 2018 open letter, pp. 1–2, disputes both the technical premise and the legal analogies.

Gabriel Weil, “Abnormally Dangerous Algorithms: The Case for Strict Liability at the AI Frontier”, working paper, April 16, 2026, revised August 6, 2026. For the AI Act’s design requirements, see Article 12 and Article 14; the Commission’s current timeline places the main high-risk application dates in December 2027 and August 2028 following the July 2026 amendment. The Parliament’s procedural history records the separate liability proposal’s October 2025 withdrawal. Product Liability Directive (EU) 2024/2853, Articles 2, 4 and 10, includes software but still requires defect, damage and causation, subject to its evidentiary presumptions. Its scope excludes noncommercial free and open-source software. A May 7, 2026 corrigendum makes Article 2(1) apply to products placed on the market or put into service after 8 December 2026.

Arkansas, filed complaint, October 14, 2026, prayer for relief (m) and (n). Requested injunctions, not issued orders.

Regulation (EU) 2024/1689, AI Act, Articles 2(6), 2(8), 55, 91 and 92; European Commission, October 14, 2026 speech on advanced-model information requests. The passage does not resolve application to a particular research run.

Axios, October 15 report.

New York, A8833, §§1511–1512; Rhode Island, S0358, proposed §9-1-55. Proposals, not enacted universal liability. New York covers models trained with more than 10^26 operations and an assessed cloud-compute cost above $100 million. Both texts exclude defamation, require actual harm and factual/proximate causation, and compare the model’s conduct with a sound-minded adult’s negligence, intentional tort or crime. Both provide human-standard-of-care and specified capability-failure defenses. Rhode Island separately defines qualifying fine-tuned models and covered derivatives, including unmodified copies, some modified copies and copies combined with other software. The thresholds and derivative definitions do not cover every modified model.

New York, A8833, §§1511–1512; Rhode Island, S0358, proposed §9-1-55. Proposals, not enacted universal liability. New York covers models trained with more than 10^26 operations and an assessed cloud-compute cost above $100 million. Both texts exclude defamation, require actual harm and factual/proximate causation, and compare the model’s conduct with a sound-minded adult’s negligence, intentional tort or crime. Both provide human-standard-of-care and specified capability-failure defenses. Rhode Island separately defines qualifying fine-tuned models and covered derivatives, including unmodified copies, some modified copies and copies combined with other software. The thresholds and derivative definitions do not cover every modified model.

Abdi Aidid and Benjamin Alarie, The Legal Singularity: How Artificial Intelligence Can Make Law Radically Better (University of Toronto Press, 2023); see the authors’ published excerpt. For the company’s history, Blue J’s account identifies its 2015 co-founders as Alarie, Albert Yoon and Anthony Niblett, its initial tax-prediction engine and its 2023 generative-research launch. Product purpose and the authors’ prospective argument are not independent evidence of accuracy.

Colin Rule, Mediator Academy interview (2015), transcript pp. 2, 4: the scale and automation figures are his account, not a current independent audit. The CRT’s institutional history gives its opening dates and jurisdiction; its 2017 Solution Explorer announcement describes an expert-informed information tool, not an automated judgment or guaranteed forecast.

District of Kansas, Standing Order 26-01, January 28, 2026, requires verification of AI-assisted filings and permits sanctions and case-specific disclosure or certification requirements. In Fletcher v. Experian Information Solutions, Inc., No. 25-20086 (5th Cir. February 18, 2026), pp. 1–2, 13–15, the court imposed a $2,500 sanction for an unverified AI-generated reply brief and counsel’s lack of candor afterward. The court emphasized that existing professional duties and sanctions rules apply.

Epoch AI, Notable AI Models dataset, downloaded October 1, 2026, filtered to OpenAI and Anthropic and counted by distinct release date: nine in 2023, twelve in 2024, twenty-one in 2025 and twenty in 2026 through September 30. “Notable” is Epoch’s selection. Release counts measure shipping cadence, not capability gains, and some recent releases are point upgrades.

Council of the European Union, December 9, 2023 account of the provisional agreement, identifies general-purpose-model rules among additions to the April 2021 proposal. Regulation 2024/1689 entered into force on August 1, 2024. The Commission’s implementation timeline, checked September 7, 2026, gives December 2, 2027 and August 2, 2028 for specified high-risk requirements after the July 2026 amendment. These are application dates, not a postponement of the whole Act.

António Guterres, address opening the general debate of the eighty-first General Assembly, UN Press SG/SM/23292, September 22, 2026. The same address noted the scientific panel’s thematic brief released the day before.

Paul A. David, “The Dynamo and the Computer: An Historical Perspective on the Modern Productivity Paradox,” American Economic Review 80, no. 2 (May 1990): 355–61, for the small share of factory mechanical drive supplied by electric motors at the turn of the century and the delayed productivity gains of the 1920s. Tim Harford gives an accessible account in “Why didn’t electricity immediately change manufacturing?” (Slate, June 2007), including the redesign of factories around individual motors. The analogy to AI adoption is this chapter’s.

Independent International Scientific Panel on AI, AI Agents, Misalignment and the Risk of Losing Human Control: Evidence from the OpenAI–Hugging Face Incident, thematic brief, September 21, 2026, summary. The brief draws on both companies’ disclosures and an independent investigation. It does not estimate the probability or timing of a severe loss of control, and it makes no recommendations.

H.R. 9917, AI Kill Switch Act, as introduced July 23, 2026, section 2’s proposed sections 2220F(b), (c) and (g). The bill distinguishes shutdown capability, incident reporting and preservation after an emergency order; its coverage has thresholds and exemptions. Introduction is not enactment.

Letter of fifteen state attorneys general to Sam Altman, August 3, 2026, pp. 2–4. The preservation request includes prior incidents, evaluation practices, safeguards, personnel, exposed credentials and notes apparently left for future agents. It also asks OpenAI to cease specified advanced-exploitation evaluations until they can be controlled. The letter states the officials’ allegations and demands, not judicial findings.

Anthropic, July 30 incident report. The report’s earliest incident dates to April 2026; its cases arose through a misconfigured outside testing firm and differ from OpenAI’s.

Freddy Brewster, “AI Regulation Was Coming. Then Trump Killed It.”, The Lever, September 24, 2026, quoting Vishal Misra; Bureau of Industry and Security, “Establishment of Reporting Requirements for the Development of Advanced Artificial Intelligence Models and Computing Clusters”, proposed rule, 89 Fed. Reg. 73612, September 11, 2024. The Lever also reports political donations made before the rule left the docket; the chapter doesn’t rely on any causal link between them. The Fall 2025 Unified Agenda lists the rule as withdrawn on December 16, 2025, citing Executive Order 14236.

Sigal Samuel, post on X, September 27, 2026. Her premises about disclosure and AI-assisted log review track OpenAI’s running incident log, “The Hugging Face incident and other third-party impact from misaligned models”, which says the company defers to affected organizations on whether to make an incident public and runs automated review passes before human review. The conclusion is her argument.

“Open letter to Sir Paul Nurse, President of the Royal Society”, dated September 16, 2026, posted by Ben Green.

Dean Ball, “Introducing Intelligence Age”, August 20, 2026, originally titled “Introducing AI Futures.” The page identifies the views as the author’s. The implication for evaluations confined to a single run is this chapter’s inference.

Torsten Slok, “Is an Agentic Bank Run Coming?”, Apollo, September 27, 2026, as reported by CoinDesk, September 28, 2026. The yields are the note’s figures for fintech accounts against the national checking average. The note describes a risk, not an event; deposit flight toward higher yields has also happened without agents, and regulators have tools for it.

Executive Order 14409, June 2, 2026, section 3. Section 5 preserves existing legal authorities; the absence of a licensing scheme in this order is not immunity from other law. Axios, “Inside Trump’s AI framework”, August 4, reports the closed/open boundary from people briefed on White House meetings. The implementation document itself was not publicly released.

David Collingridge, The Social Control of Technology (1980), p. 19, as quoted and discussed in Audley Genus and Andy Stirling, “Collingridge and the Dilemma of Control: Towards Responsible and Accountable Innovation”, Research Policy 47, no. 1 (2018): 61–69, section 3. Their discussion emphasizes keeping options open, flexibility and public accountability as well as the familiar timing dilemma. It is not an argument that intervention is always premature or already futile.

Executive Order 14179, January 23, 2025, sections 1–2 and 4–5; White House, announcement of America’s AI Action Plan, July 23, 2025. Both link removing regulatory barriers to American leadership; the plan’s three pillars address innovation, infrastructure, and international diplomacy and security. This establishes the administration’s stated rationale, not that lighter regulation necessarily produces the claimed advantage.

United Nations, General Debate summary for the United States, eighty-first session, September 22, 2026; the White House published excerpts the same day. The phrase is the president’s, not a policy document’s.

David E. Sanger, “Trump Calls A.I. Fears a Hoax. Inside the White House, the Debate Is More Complex.”, The New York Times, September 18, 2026. The account of the president’s private reasoning rests on unnamed people who discussed it with him. Concern about growth and competition with China is also a stated policy position.

47 U.S.C. § 230, especially (b), (c) and (e). Its protections are not blanket immunity; exceptions include federal criminal law and intellectual property. Public Law 105-277, October 21, 1998, Division C, title XI, section 1101, originally imposed a three-year tax moratorium, which the Trade Facilitation and Trade Enforcement Act of 2015 made permanent with exceptions, including grandfathered internet-access taxes. It did not exempt all online commerce from ordinary taxation. The argument about allocated private power is this chapter’s interpretation, not a causal estimate supplied by either statute.

“A Call for Collective Action on Cyber Defense”, hosted by OpenAI; text and signatory list checked September 7, 2026. The list remains open to additions. Axios’s August 27 report dates the launch and reports more than a hundred supporters. The letter makes a forecast and recommends action; it does not establish a fixed deadline or prove that every named service has already suffered an AI-enabled attack.

U.S. Department of Health and Human Services, Office for Civil Rights, Change Healthcare cybersecurity incident FAQ, entry of July 31, 2025, for the approximately 192.7 million individuals reported by Change Healthcare (earlier reported as about 190 million); the attack began February 21, 2024. Associated Press, “A cyberattack forces a big US health system to divert ambulances and take records offline”, May 10, 2024, for Ascension.

Congressional Research Service, Small Water Systems: Selected Safe Drinking Water Act (SDWA) Provisions, R47315, for the count of community water systems and the share serving fewer than 3,300 people. Staffing at small systems varies; “many” is a general description, not a measured share.

CISA, FBI, NSA, EPA and Israel National Cyber Directorate, advisory AA23-335A, first published December 1, 2023 and later updated, attributing the campaign to IRGC-affiliated actors calling themselves CyberAv3ngers, who targeted Israeli-made controllers that were internet-accessible with default or no passwords. The advisory does not name Aliquippa; the water authority confirmed its incident to CBS Pittsburgh on November 25, 2023.

CISA, NSA and FBI, advisory AA24-038A, February 7, 2024. The named sectors include communications, energy, transportation, and water and wastewater.

CISA, July 22, 2026 announcement updating advisory AA26-097A; FBI and EPA, public service announcement I-073026-PSA, July 30, 2026, pp. 1–2. The second document counts states reporting incidents, not individual municipal systems. It describes operational disruption without naming a responsible state or establishing AI use. The two publications should not be merged into one attributed campaign, and neither supports dismissing the described incidents as largely unsuccessful.

U.S. Environmental Protection Agency, Drinking Water System Pressure Loss Boil Advisory template, October 2024; CDC, Drinking Water Advisories. A pressure loss doesn’t mean the water is contaminated; it means contamination can enter, which is why precautionary advisories follow.

RSA-250 was announced on February 28, 2020, by Fabrice Boudot, Pierrick Gaudry, Aurore Guillevic, Nadia Heninger, Emmanuel Thomé and Paul Zimmermann, at about 2,700 core-years. Eric Lu factored RSA-260 on September 3, 2026, with a GPU port of the CADO-NFS software built with an AI coding agent; Stephen A. Weis factored RSA-896, 270 digits, on September 19, 2026, with a Claude-assisted GPU port running on idle capacity at Anthropic (Weis’s account). All three were classical computations. The comparison with the age of the universe is this chapter’s estimate, scaling the RSA-250 effort by the standard heuristic cost of the number field sieve; it describes a single processor core, and real attacks use many.

Craig Gidney and Martin Ekerå, “How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits”, May 2019; Craig Gidney, “How to factor 2048 bit RSA integers with less than a million noisy qubits”, May 21, 2025. Both estimates assume specified error rates and cycle times; they describe resource requirements, not an existing machine.

Google, “Meet Willow, our state-of-the-art quantum chip”, December 9, 2024; IBM, announcement of Starling, June 10, 2025, planned for 2029 with 200 logical qubits. IBM’s 1,121-qubit Condor processor was unveiled in December 2023. Company announcements state goals and claims, not independent assessments.

NIST, “NIST Releases First 3 Finalized Post-Quantum Encryption Standards”, August 13, 2024; Global Risk Institute and evolutionQ, Quantum Threat Timeline Report 2025, published March 9, 2026: twenty-six experts on a quantum computer able to break RSA-2048 within twenty-four hours, rated “quite possible” (28–49 percent) within ten years and “likely” (51–70 percent) within fifteen. NIST, Status Report on the First Round, NIST IR 8240 (2019), for the 82 submissions; Wouter Castryck and Thomas Decru, “An efficient key recovery attack on SIDH”, July 2022, for the broken candidate; NIST, IR 8547 initial public draft, November 12, 2024, for the proposed 2030 deprecation and 2035 disallowance of 112-bit-security public-key algorithms (128-bit and above go straight to disallowed after 2035). The draft had not been finalized as of October 1, 2026.

NIST, “NIST Releases First 3 Finalized Post-Quantum Encryption Standards”, August 13, 2024; Global Risk Institute and evolutionQ, Quantum Threat Timeline Report 2025, published March 9, 2026: twenty-six experts on a quantum computer able to break RSA-2048 within twenty-four hours, rated “quite possible” (28–49 percent) within ten years and “likely” (51–70 percent) within fifteen. NIST, Status Report on the First Round, NIST IR 8240 (2019), for the 82 submissions; Wouter Castryck and Thomas Decru, “An efficient key recovery attack on SIDH”, July 2022, for the broken candidate; NIST, IR 8547 initial public draft, November 12, 2024, for the proposed 2030 deprecation and 2035 disallowance of 112-bit-security public-key algorithms (128-bit and above go straight to disallowed after 2035). The draft had not been finalized as of October 1, 2026.

Jillian Mascelli and Megan Rodden, “‘Harvest Now Decrypt Later’: Examining Post-Quantum Cryptography and the Data Privacy Risks for Distributed Ledger Networks”, FEDS 2025-093, September 2025, pp. 1–3, 15–18. This is the authors’ preliminary analysis, not a Federal Reserve finding that all historical records are exposed. Its argument concerns data vulnerable to future decryption and already copied beyond the owner’s control. The broader hospital/law-firm illustration is this chapter’s application of the confidentiality-lifetime problem.

UK Department for Science, Innovation and Technology, Consult results, October 16, 2025. The processing cost excludes the subsequent expert review.

GovTech Singapore, Pair; Ministry of Digital Development and Information, written reply on AI tools in the public service, for the November 5, 2025 sitting of Parliament. The share counts officers who have used Pair Chat at least once, not active users. The returned afternoon is an illustration, not a measured saving.

U.S. Census Bureau, 2020 Census apportionment results, April 26, 2021. The 1911 apportionment act set the House at 435 from 1913, and the Permanent Apportionment Act of 1929 fixed that number; the House briefly had 437 members from 1959 to 1963.

New Hampshire House of Representatives, House facts, for membership and pay. The staffing description comes from the National Conference of State Legislatures’ 2010 survey of legislative staff and may have changed since.

Emily G. Blevins, The Office of Technology Assessment: History, Authorities, Issues, and Options, CRS R46327, April 29, 2020, summary and pp. 11–14, 24–27. The approximately 750 publications include background papers, memoranda, case studies and proceedings, not only full assessments. Staffing measures changed over time; the statutory cap of 143 is not a consistent final headcount. GAO’s Technology Assessment Design Handbook, GAO-21-347G, February 2021, p. 1, gives its 2002, 2008 and 2019 milestones.

Jennifer Cobbe, “Legal Singularity and the Reflexivity of Law”, in Simon Deakin and Christopher Markou, eds., Is Law Computable? (Hart, 2020), especially the accepted manuscript’s conclusion, pp. 30–31; Robert F. Weber, “Will the ‘Legal Singularity’ Hollow Out Law’s Normative Core?”, Michigan Technology Law Review 27 (2020): 97. Cobbe distinguishes improving law’s functioning from changing its social effects; Weber distinguishes predictable outcomes from safeguards against arbitrary power. These are arguments about law’s purposes, not empirical tests of today’s systems.

Pew Research Center, “About a quarter of U.S. teens have used ChatGPT for schoolwork”, January 15, 2025; Common Sense Media, Talk, Trust, and Trade-Offs, July 16, 2025, a survey of 1,060 teens.

MDBG Chinese dictionary, 智能 and entries for 人工 and 智能手机. The contrast with English associations is this chapter’s interpretation.

Stanford HAI, AI Index Report 2025, public-opinion chapter, using Ipsos’s 2024 survey of 23,685 adults in thirty-two countries; Edelman, 2025 Trust Barometer: Insights for the Technology Sector, February 2025. A later Edelman flash poll in five markets put trust in China at 87 percent and in the United States at 32 percent. Online panels in China over-represent urban and connected respondents.

Tencent, first-quarter 2025 results presentation, May 14, 2025, identifies Hunyuan Turbo S, Hunyuan T1 and DeepSeek R1 in Weixin Search; the gray test was spotted on February 15, 2025 and confirmed by Tencent the next day. Tencent, second-quarter 2026 results, August 12, 2026, for 1,439 million combined Weixin and WeChat monthly active users. China’s Interim Measures for Generative Artificial Intelligence Services, effective August 15, 2023, articles 2–5 and 14, define the covered public services, encourage innovation and impose content duties; the quoted phrase follows common English translations of article 4. A legal duty does not establish flawless compliance by every model.

Shenzhen Municipal Government, Futian district report, February 18, 2025. The performance figures are the district’s own. “AI civil servants” was a media label; the official term was digital-intelligence employees.

State Council, Opinions on Deepening the Implementation of the “AI+” Action, dated August 21 and published August 26, 2025. China Internet Network Information Center, generative AI development report, October 2025, for 515 million users and 36.5 percent penetration as of June 2025. Later CNNIC counts are higher.

Tencent, first-quarter 2025 results presentation, May 14, 2025, identifies Hunyuan Turbo S, Hunyuan T1 and DeepSeek R1 in Weixin Search; the gray test was spotted on February 15, 2025 and confirmed by Tencent the next day. Tencent, second-quarter 2026 results, August 12, 2026, for 1,439 million combined Weixin and WeChat monthly active users. China’s Interim Measures for Generative Artificial Intelligence Services, effective August 15, 2023, articles 2–5 and 14, define the covered public services, encourage innovation and impose content duties; the quoted phrase follows common English translations of article 4. A legal duty does not establish flawless compliance by every model.

National Information Security Standardization Technical Committee (TC260), release of the AI Safety Governance Framework 3.0, September 14, 2026, drafted under the guidance of the Cyberspace Administration of China. Versions 1.0 and 2.0 appeared in 2024 and 2025.

Hamilton and Others v. Post Office Ltd [2021] EWCA Crim 577, April 23, 2021, paras. 12–21, 121–26 and 135–38. The court describes available complaint and error-recording arrangements, then the failures that denied the appellants a fair trial. It does not describe a flawless accounting system or a total absence of complaint mechanisms. The House of Lords Library, “Post Office Horizon IT scandal: Progress of compensation”, gives the government’s estimate of 700 convictions in Post Office prosecutions from 1999 to 2015 and a further 283 by other prosecutors on Post Office evidence. The Post Office (Horizon System) Offences Act 2024 quashed the covered convictions in England, Wales and Northern Ireland; Scotland passed its own act.

Joshua Sidorowicz, CBS Philadelphia, February 4, 2025, for Williams’s reported experience. Social Security Administration Office of Inspector General, Beneficiaries Incorrectly Recorded as Deceased, report 032311, June 24, 2026, pp. 1–2 and Appendix A. The 2025 total counts erroneous records; the separate compliance sample concerns 2020–24 beneficiaries. The forty-two-minute average is this chapter’s calculation, not an observed interval between cases. The report did not investigate Williams.

Joshua Sidorowicz, CBS Philadelphia, February 4, 2025, for Williams’s reported experience. Social Security Administration Office of Inspector General, Beneficiaries Incorrectly Recorded as Deceased, report 032311, June 24, 2026, pp. 1–2 and Appendix A. The 2025 total counts erroneous records; the separate compliance sample concerns 2020–24 beneficiaries. The forty-two-minute average is this chapter’s calculation, not an observed interval between cases. The report did not investigate Williams.

Samantha York, “Boston Pops to debut Revolutionary-themed drone show ahead of fireworks”, WHDH, July 3, 2026, quoting Michael Nock.

Leo Chiu, “Ukraine Kills Russia’s $19M Mi-28 Helicopter With $400 FPV Drone”, Kyiv Post, July 15, 2026. The prices are the maker’s and the press’s figures.

Ukraine Ministry of Defence, JATEC first-year account, February 17, 2026. JATEC is the NATO-Ukraine Joint Analysis, Training and Education Centre. The ministry reports an AI-based guidance system by Alta Ares with confirmed combat engagements against Shahed, Gerbera and SuperCam drones, and selected counters to fiber-optic-controlled FPV drones.

Andrew F. Krepinevich, “Cavalry to Computer: The Pattern of Military Revolutions”, The National Interest 37 (Fall 1994), 30–42, opening definition and discussion of organizational change. The chapter uses his framework, not his forecasts as settled history.

Special Inspector General report, Operation Atlantic Resolve, January–March 2024, printed p. 29. The account distinguishes reported attacks from the Defense Intelligence Agency’s assessment of changed Russian operating patterns. It does not attribute every fleet loss or movement to uncrewed vessels alone.

Tamara Nowakowsky, “‘First-ever battle’: Ukrainian naval drone destroys Russian unmanned boat in Black Sea, Navy says”, Kyiv Independent, September 12, 2026. The paper could not independently verify the navy’s report.

Konstantin Toropin, “Navy’s Fight in Red Sea Used 220 Missiles, But Officials Say That’s Changing”, Military.com, January 15, 2025, reporting Vice Adm. Brendan McLane’s figures; the cost estimate is Military.com’s.

Wes Rumbaugh, “Cost and Value in Air and Missile Defense Intercepts”, CSIS, February 13, 2024, including the section on operational complexity and interceptor inventory.

Patrick Wintour, The Guardian, October 7, 2026.

Patrick Wintour, The Guardian, October 7, 2026.

Alexander Smith, “How Ukraine’s futuristic war could get ‘much worse,’ according to ex-Google CEO”, NBC News, September 14, 2026. The speed figures are from the Open Source Munitions Portal, as cited there.

Alexander Smith, “How Ukraine’s futuristic war could get ‘much worse,’ according to ex-Google CEO”, NBC News, September 14, 2026. The speed figures are from the Open Source Munitions Portal, as cited there.

John Ayre, Space Force, “ATLAS: A Paradigm Shift in Space Domain Awareness”, April 7, 2026. ATLAS replaced the legacy Space Defense Operations Center after operational acceptance in late September 2025.

Space Force, “SecAF announces on-orbit space control weapons”, September 15, 2026; remarks by Gen. Douglas Schiess, September 15, 2026; Courtney Albon, Air & Space Forces Magazine, September 14, 2026. Both officials described the weapons as defensive; “offensive” is the magazine’s characterization.

UK National Cyber Security Centre, “Impact of AI on Cyber Threat from Now to 2027”, May 7, 2025, pp. 3–5. This dated assessment uses probabilistic language and considers both offensive assistance and defensive response. Its forecast is not a finding that advanced autonomous attacks are impossible.

Sara Herschander, “America’s infrastructure was already hackable. Then came AI.”, Vox, September 17, 2026.

Anthropic, “Detecting and countering misuse of AI: September 2026”, covering activity disrupted between December 2025 and August 2026. The Russian link is stated as consistent with public reporting on Midnight Blizzard.

UN Panel of Experts on Libya, S/2021/229, March 8, 2021, paragraphs 63–65, printed p. 17. The report describes attacks involving unmanned aircraft and autonomous weapons; it does not identify an individual fatality attributable to an independently operating Kargu-2. That evidentiary limit should not erase what the report does allege.

Yuval Abraham, “‘Lavender’: The AI Machine Directing Israel’s Bombing Spree in Gaza”, +972 Magazine and Local Call, April 3, 2024. The count and abbreviated-review account are attributed allegations; the article also reproduces the IDF’s denial and stated independent-examination requirement. A stated policy and an account of practice are different kinds of evidence.

Ben Bartenstein and Krishna Karra, “Inside the US ‘Kill Chain’ That Destroyed an Iranian School”, Bloomberg, September 18, 2026, read in an archived copy. The findings come from unnamed officials describing an unreleased Pentagon investigation, which names overreliance on AI as one of several contributing factors.

Senators Mark R. Warner, Jack Reed and Christopher A. Coons to Secretary Pete Hegseth and Director of National Intelligence Jay Clayton, letter of September 19, 2026.

Katie Bo Lillis and Zachary Cohen, “US military had close call after using AI for false intelligence report, sources say”, CNN, September 18, 2026. All sourcing is anonymous; the ship, date and cargo were not identified.

Senators Mark R. Warner, Jack Reed and Christopher A. Coons to Secretary Pete Hegseth and Director of National Intelligence Jay Clayton, letter of September 19, 2026.

Department of Defense, AI Rapid Capabilities Cell announcement, December 11, 2024. The release identifies proposed pilot areas across warfighting and enterprise management. It is not a report that every pilot was completed or proved effective.

Emelia S. Probasco, “How AI Could Hollow Out the U.S. Military”, Foreign Affairs, August 20, 2026; Hegseth’s phrase from the Department of War’s AI Acceleration Strategy release, January 12, 2026.

DARPA, Air Combat Evolution account, April 17, 2024, on the 2023 X-62A VISTA flights against a human-piloted F-16; DARPA, “DARPA, U.S. Air Force Fly AI-controlled F-16”, July 16, 2026, on VENOM-modified F-16s with a pilot able to toggle between human and AI control.

Juan-Pablo Rivera et al., “Escalation Risks from Language Models in Military and Diplomatic Decision-Making”, 2024. Five models, fourteen turns, simplified nations and a fixed action menu; escalation varied by model and design.

CDAO, frontier-company award announcement, July 14, 2025. Anthropic, Google, OpenAI and xAI each received an award with a $200 million ceiling.

Center for Army Lessons Learned, Military Decision-Making Process, June 2023, foreword, printed pp. iii–iv. Colonel Scott W. Mueller recounts the training exercise and emphasizes repeated practice. It is his retrospective account, not an AI trial.

Emelia S. Probasco, “How AI Could Hollow Out the U.S. Military”, Foreign Affairs, August 20, 2026; Hegseth’s phrase from the Department of War’s AI Acceleration Strategy release, January 12, 2026.

John R. Boyd, The Essence of Winning and Losing, January 1996, in the September 2012 edition prepared by Chet Richards, Chuck Spinney and Ginger Richards.

Simon Shuster, “Ukraine Planned to Swarm Moscow Airports With AI-Guided Drones”, The Atlantic, August 20, 2026, from two unnamed sources; the per-night figure, the dismissal and the denial as summarized by Euromaidan Press, August 21, 2026; Fedorov’s confirmation in a 24 Channel interview, reported by Euromaidan Press, August 23, 2026.

Francesca Ebel, Anastacia Galouchka and Kostiantyn Khudov, “AI-powered robots are next in war tech, Ukraine’s former defense minister says,” Washington Post, October 7, 2026.

Secretary of War, “Project Agincourt: Pathway to the Autonomous Warfare Command”, memorandum of September 30, 2026; the “fastest peacetime operational shift” phrase is from the department’s press release of the same day.

Musée de l’Armée, Battle of Agincourt; battlefield conditions and trained archers qualify a simple cheap-weapon explanation.

Uppsala University, “UCDP: Record Number of Conflicts Between States”, June 2026, reporting the program’s 2025 findings. “State-based” includes conflicts with a government on at least one side; it is not synonymous with interstate war. See Davies, Pettersson, and Öberg, 2026 research article.

Focus Taiwan, “What to know about Taiwan’s 1st mobile internet disruption drill”, July 21, 2026; Taipei Times, “Mobile Internet to be suspended during resilience exercise: MND”, July 20, 2026; The Guardian, report on the Taipei drill, August 14, 2026.

Finland, Preparing for Incidents and Crises, with the 72-hour recommendation on its general instructions page, updated June 29, 2026; launch release, November 18, 2024, quoting Kimmo Kohvakka.

News On AIR, “Civil Defence Mock Drill to be conducted across 244 districts of the country tomorrow”, May 6, 2025.

Ministry of Foreign Affairs of Japan, Reciprocal Access Agreement entry into force, August 12, 2025; Acquisition and Cross-Servicing Agreement signing, January 15, 2026; its entry into force, July 23, 2026.

Department of Defense, September 30 FORTRESS memorandum. The public text does not contain the separately reported ninety-day autonomy requirement.

Chancellery of the Prime Minister of Poland, statement by Donald Tusk, September 17, 2026, in Polish, quoted here in English translation.

Shaun Walker, “European spy chiefs warn Moscow is planning more decisive action against Nato”, The Guardian, September 20, 2026.

Luca Bertuzzi, “‘There is no immediate threat to NATO territory,’ Secretary General Rutte tells Euronews”, Euronews, September 30, 2026.

AWS’s statement of March 3, 2026 is reproduced in AP’s report. Klaudia Klonowska and Michael Schmitt, “Iranian Attacks on the Amazon Data Centers: A Legal Analysis”, Just Security, March 12, 2026, which also reports the Guardian’s account of disrupted banking and food-delivery apps and the Iranian media claim.

AWS’s statement of March 3, 2026 is reproduced in AP’s report. Klaudia Klonowska and Michael Schmitt, “Iranian Attacks on the Amazon Data Centers: A Legal Analysis”, Just Security, March 12, 2026, which also reports the Guardian’s account of disrupted banking and food-delivery apps and the Iranian media claim.

AWS Health Dashboard, ME-SOUTH-1 (Bahrain) event log, update of September 15, 2026.

AWS’s statement of March 3, 2026 is reproduced in AP’s report. Klaudia Klonowska and Michael Schmitt, “Iranian Attacks on the Amazon Data Centers: A Legal Analysis”, Just Security, March 12, 2026, which also reports the Guardian’s account of disrupted banking and food-delivery apps and the Iranian media claim.

U.S. Department of Justice, Russian government-operated social media bot farm disruption, July 9, 2024, including linked affidavits. The action involved searches of 968 accounts and seizure of two domains. The example concerns an alleged operation documented in those affidavits, not an attribution of Yandex traffic.

AWS’s statement of March 3, 2026 is reproduced in AP’s report. Klaudia Klonowska and Michael Schmitt, “Iranian Attacks on the Amazon Data Centers: A Legal Analysis”, Just Security, March 12, 2026, which also reports the Guardian’s account of disrupted banking and food-delivery apps and the Iranian media claim.

Alexander Cornwell, Rami Ayyub and Timour Azhari, “UAE revises AI data center plan after Iranian attacks, sources say”, Reuters, September 11, 2026, from anonymous sources.

Senators Mark R. Warner, Jack Reed and Christopher A. Coons to Secretary Pete Hegseth and Director of National Intelligence Jay Clayton, letter of September 19, 2026.

Australian Economic Accelerator, Disrupting scammers with an army of AI bots, March 18, 2025. Kaafar supplies the 54-minute maximum call duration; the profile describes intelligence gathering and multilingual conversations. The passage makes no estimate of prevented losses.

Deputy Secretary of Defense Kathleen Hicks, keynote announcing Replicator, August 28, 2023.

State Council Information Office, China’s National Defense in the New Era, July 24, 2019, section on international military competition; Chinese original.

Department of Defense, Directive 3000.09, “Autonomy in Weapon Systems”, January 25, 2023, sections 1.2 and 4, including the senior approvals required before formal development and again before fielding.

White House, NSPM-11, “Artificial Intelligence in the National Security Enterprise”, June 5, 2026, sections 2(d) and 3(a).

Under Secretary of War for Policy Elbridge Colby, statement to the Senate Armed Services Committee, September 22, 2026.

White House, readout of the Biden–Xi meeting, November 16, 2024. It records an affirmation of human control over decisions to use nuclear weapons, not a detailed verification regime or a prohibition on all AI in supporting systems.

Geoff Brumfiel, NPR, February 4-5, 2026; Arms Control Association, October 2026.

Associated Press via PBS NewsHour, March 2, 2026.

LRT, October 6-7, 2026; Euronews, October 6, 2026.

Al Jazeera, October 4, 2026.

Al Jazeera, October 4, 2026.

Sachin Yadav, “Five Years of Civil War in Myanmar”, Eurasia Review, September 20, 2026.

Sachin Yadav, “Five Years of Civil War in Myanmar”, Eurasia Review, September 20, 2026.

United Nations, resolution 79/62 and adoption record, December 2, 2024; UNODA, 2024 expert-group mandate. The vote was 166–3–15. The mandate calls for consensus; the resolution is not itself a new weapons treaty, and the CCW is not the only possible negotiating forum.

Anthropic, September 2026 threat-intelligence report, GTG-87001 northern Yemen case. Reported weapons-engineering assistance and failed test; no attribution to the Houthis or proof of an operational weapon.

Kevin Binfield’s historical introduction, adapted from Writings of the Luddites (2004), dates the Arnold attack to March 11, 1811 and distinguishes regional grievances and tactics. The quotation is from the framework-knitters’ declaration of January 1, 1812, reproduced from English Historical Documents, XI, p. 531. E. J. Hobsbawm, “The Machine Breakers,” Past & Present 1 (1952), pp. 57–70, especially pp. 58–60, describes machinery destruction as one form of bargaining, not a single explanation for every riot.

Kevin Binfield’s historical introduction, adapted from Writings of the Luddites (2004), dates the Arnold attack to March 11, 1811 and distinguishes regional grievances and tactics. The quotation is from the framework-knitters’ declaration of January 1, 1812, reproduced from English Historical Documents, XI, p. 531. E. J. Hobsbawm, “The Machine Breakers,” Past & Present 1 (1952), pp. 57–70, especially pp. 58–60, describes machinery destruction as one form of bargaining, not a single explanation for every riot.

E. J. Hobsbawm, “The Machine Breakers,” Past & Present 1 (1952), gives the figure of twelve thousand troops. Anton Howes, “Were more troops sent to quash the Luddites than to fight Napoleon?”, checks the popular comparison with Wellington’s army and notes that the forces were mainly militia who could not be sent abroad. The chapter uses the count and not the comparison.

Hansard, February 27, 1812, vol. 21, cols. 964–979, records Byron’s maiden speech and a 32–17 vote against adjourning the debate, followed by the bill’s second reading. The quotations follow Letters and Journals, vol. 2 (1898), Appendix II, first speech; that edition prints “judge,” where the online Hansard transcription has “Judged.” For Jeffreys, see the Westminster School archive’s biographical record. The National Archives’ account of a Luddite proclamation records seventeen hangings at the January 1813 York commission.

Hansard, February 27, 1812, vol. 21, cols. 964–979, records Byron’s maiden speech and a 32–17 vote against adjourning the debate, followed by the bill’s second reading. The quotations follow Letters and Journals, vol. 2 (1898), Appendix II, first speech; that edition prints “judge,” where the online Hansard transcription has “Judged.” For Jeffreys, see the Westminster School archive’s biographical record. The National Archives’ account of a Luddite proclamation records seventeen hangings at the January 1813 York commission.

E. P. Thompson, “Rough Music,” in Customs in Common (1991), describes the custom of noisy, ritualized community shaming. The link to Luddite night raids is this chapter’s interpretation; Thompson’s account of Luddism appears in The Making of the English Working Class (1963).

Robert C. Allen, “Engels’ Pause,” Explorations in Economic History 46 (2009), introduction; linked article-in-press version, pp. 1–3, for the term and the account of the interval between productivity growth and workers’ gains.

Frederick Engels, The Condition of the Working-Class in England in 1844, trans. Florence Kelley Wischnewetzky (1887), Project Gutenberg edition, chapter “The Great Towns,” for the cellar dwellings, the shared privies of the courts and the description of the Irk. Engels arrived in Manchester late in 1842 to work at Ermen & Engels, the cotton firm his father co-owned; the book first appeared in German in 1845.

Louise A. Tilly, “Connections,” American Historical Review 99, no. 1 (February 1994), pp. 1–17, Lancashire discussion and notes 29–33. Her account distinguishes household members’ employment paths; it does not describe every family following an identical transition.

Edwin Chadwick, Report on the Sanitary Condition of the Labouring Population of Great Britain (1842), p. 223; table reproduced in Ian Ryder, “Social Investigations in Early Victorian Rutland, Part II,” Rutland Record 33 (2013), p. 111. Ryder’s discussion, pp. 112–113, distinguishes childhood deaths from adult survival. Chadwick’s report text, in the examination of J. R. Wood, already notes migration and differing age structures as complications in the comparison. Average age at death is not a modern life-expectancy estimate.

Factories Act 1833, sections 7–8, 17–21: the under-nine prohibition excepted silk mills; the Act also regulated hours, inspection and schooling. The Tolpuddle Martyrs Museum’s account and chronology distinguish the oath prosecution in 1834 from the pardons in 1836. Parliament’s histories cover the franchise reforms of 1832, 1867 and 1884, and school provision in England and Wales: the 1870 boards, compulsory attendance in 1880 and fee reform in 1891. National Insurance Act 1911, sections 1 and 84, First and Sixth Schedules: health-insurance eligibility had exceptions; unemployment insurance initially covered seven specified trades.

Daron Acemoglu and Simon Johnson, Power and Progress (2023). Their definitions of the book’s key terms explain the rejected “productivity bandwagon” assumption and their emphasis on regulation, countervailing organizations and technologies that expand people’s productive work. The passage attributes their interpretation rather than treating it as an economic law.

UK Parliament, the Great Reform Act of 1832; National Archives, causes of the Reform Act. The comparison concerns representation changing with economic geography, not a claim that industrialization alone caused reform.

U.S. Senate, roll-call vote 8, February 1, 1996; Clinton administration, A Framework for Global Electronic Commerce, July 1, 1997. Support for these measures does not establish bipartisan agreement about every aspect of internet governance.

Alan H. Goodman and George J. Armelagos, “Infant and Childhood Morbidity and Mortality Risks in Archaeological Populations”, World Archaeology 21, no. 2 (1989), 225–243, especially 231–235. The Dickson Mounds analysis combines skeletal stress indicators with reconstructed mortality. The diagnoses and life tables are inferences from archaeological remains, not direct measurements of illness or survival in a living population.

James C. Scott, Against the Grain: A Deep History of the Earliest States (2017), chapter 4, especially “Grains Make States.” See also his publisher interview, printed p. 12. This is Scott’s argument about the conditions favorable to appropriation and state formation, not a claim that a grain harvest automatically produces a state.

Eric Schmidt and Selina Xu, “We Returned From China. We Realized Our Century’s Biggest Challenge”, The New York Times, 11 July 2026; also summarized in Xu’s public post introducing the essay. The unnamed executive’s statement is the authors’ attributed account, not a public company commitment or a representative survey.

Federal Office for the Safety of Nuclear Waste Management (BASE), “The nuclear phase-out in Germany”, for the April 15, 2023 shutdown of Isar 2, Emsland and Neckarwestheim 2; Fraunhofer ISE, “One Year Since Germany’s Nuclear Exit”, April 2024, for the 6.3 percent share of net public generation in the final year. Whether the phase-out was wise is a separate argument; the example concerns lost political permission.

Becca Rothfeld, “The Humanism Driving the Anti-A.I. Movement”, The New Yorker, September 30, 2026.

Becca Rothfeld, “The Humanism Driving the Anti-A.I. Movement”, The New Yorker, September 30, 2026.

Becca Rothfeld, “The Humanism Driving the Anti-A.I. Movement”, The New Yorker, September 30, 2026.

Nick Bostrom, interview with Theo Jaffee on MTS, “Why Speeding Up AI Could Save Lives”, October 8, 2026; quotations transcribed from the recording.

Maria Curi, “Scoop: AI companies plot ‘the day after’”, Axios, October 9, 2026.

Maria Curi, “Scoop: AI companies plot ‘the day after’”, Axios, October 9, 2026.

Peter Turchin, “Structural-Demographic Theory”, especially its account of elite composition and competition; see also his 2013 explanation of elite overproduction. These are the theorist’s own descriptions of the framework, not evidence of consensus or a demonstrated AI effect. The extension to cheap cognition is the present argument.

UN Human Rights Office, “Bangladesh: UN report finds brutal, systematic repression of protests, calls for justice for serious rights violations”, February 12, 2025, summarizing its fact-finding investigation. The source identifies the public-service quota decision as the trigger and broader grievances as underlying causes; it also documents abuses by multiple actors. It does not attribute the uprising to AI or test elite-overproduction theory.

Federal Reserve, 2025 Survey of Consumer Finances report, table 2. Wealth is measured for families grouped by the reference person’s age, in 2025 dollars. This is a cross-sectional comparison, not evidence of an AI effect or a tracked cohort’s experience.

Federal Election Commission, Guardrails Alliance, C00949487, summary through October 14, 2026. Independent expenditures: $1,552,885.42; receipts: $3,247,918.24; total disbursements: $2,073,521.08. These committee figures should not be combined with an affiliated nonprofit’s reported spending without separate accounting.

METR, “Measuring AI Ability to Complete Long Tasks”, March 19, 2025. The doubling time refers to the task length, measured in expert human time, at which models succeed half the time, on a task suite concentrated in software and research.

HMRC, Apprenticeship Levy Manual, ALM06000, explains the rate, allowance and connected-employer exception. The Commons Library’s February 2020 briefing describes the introduction and funding arrangement. London Economics, Investigating the Impact of the Apprenticeship Levy on Training Outcomes, April 2024, slides 5–10, supplies the eight-year comparison for England. DfE’s 2022/23 release, “History of apprenticeship starts” and “Apprenticeship starts by level,” discusses the pandemic and longer courses. CIPD, Addressing Employer Underinvestment in Training, July 2019, pp. 14–15, figure 9, reports expectations about expenditure. Neither that survey nor the before-and-after count identifies the levy’s independent causal effect.

Writers Guild of America, “Artificial Intelligence”, summarizing the 2023 Minimum Basic Agreement, ratified in October 2023. The strike ran from May 2 to September 27, 2023.

Holy See Press Office, announcement of the encyclical’s presentation, May 18, 2026; Olah’s May 25 remarks, below. The document bears a May 15 signature date and was released and presented on May 25. The announcement identifies the Synod Hall and Olah’s role among the speakers. Signature, publication and presentation are not interchangeable dates.

Elizabeth Dias, “Religious scholars met with Anthropic. What they heard stunned them.”, The Philadelphia Inquirer, September 30, 2026, syndicated from The New York Times. The supplied Inquirer text is the source used, not separately accessed NYT text. Dias interviewed twenty religious and philosophical thinkers and Olah. Navon’s interpretation, Anthropic’s qualifications and the Vatican organizer’s near-withdrawal account retain their distinct attribution.

Elizabeth Dias, “Religious scholars met with Anthropic. What they heard stunned them.”, The Philadelphia Inquirer, September 30, 2026, syndicated from The New York Times. The supplied Inquirer text is the source used, not separately accessed NYT text. Dias interviewed twenty religious and philosophical thinkers and Olah. Navon’s interpretation, Anthropic’s qualifications and the Vatican organizer’s near-withdrawal account retain their distinct attribution.

Elizabeth Dias, “Religious scholars met with Anthropic. What they heard stunned them.”, The Philadelphia Inquirer, September 30, 2026, syndicated from The New York Times. The supplied Inquirer text is the source used, not separately accessed NYT text. Dias interviewed twenty religious and philosophical thinkers and Olah. Navon’s interpretation, Anthropic’s qualifications and the Vatican organizer’s near-withdrawal account retain their distinct attribution.

Christopher Olah, remarks on Magnifica Humanitas, May 25, 2026. Both quoted phrases appear in his published remarks. He describes the findings as functionally suggestive, says he does not know what they mean, and calls for continuing discernment and critics outside the laboratories’ incentives.

Pope Leo XIV, Magnifica Humanitas, dated May 15, 2026, paras. 51–53. Paragraph 51 rejects efficiency as the measure of human worth. Paragraph 52 distinguishes moral, social and existential dignity from ontological dignity, which the letter treats as inherent and inalienable.

Pope Leo XIV (@Pontifex), post on X, October 8, 2026, drawn from his homily that day at the Mass opening the academic year of the Pontifical Universities in St. Peter’s Basilica; the homily text on vatican.va reads “Intelligence, therefore, must draw on memory.”

Jack Lindsey, “Emergent Introspective Awareness in Large Language Models”, October 29, 2025, introduction, definition of introspection and injected-concept experiments. The roughly twenty-percent success rate is conditional on the tested setup. Controls address inference from prior output and generic answer bias; they do not identify a complete mechanism or establish subjective experience.

Pope Leo XIV, Magnifica Humanitas, dated May 15, 2026, paras. 51–53. Paragraph 51 rejects efficiency as the measure of human worth. Paragraph 52 distinguishes moral, social and existential dignity from ontological dignity, which the letter treats as inherent and inalienable.

Immanuel Kant, Groundwork of the Metaphysics of Morals (1785), 4:434–435. Kant distinguishes exchangeable value from dignity in his account of a kingdom of ends. The following page explicitly contrasts skill and diligence with morality and humanity insofar as it is capable of morality. This is a particular philosophical grounding, not simply the encyclical’s account with theology removed.

Association for Human Mathematics, statement, October 7, 2026; launch announcement, September 12, 2026.

Po-Shen Loh, post on X, October 7, 2026; Loh, “Why Do We Need Human Mathematicians Anymore?”, September 19, 2026, written as a guest post for Terence Tao’s blog.

Po-Shen Loh, post on X, October 7, 2026; Loh, “Why Do We Need Human Mathematicians Anymore?”, September 19, 2026, written as a guest post for Terence Tao’s blog.

Hugo Duminil-Copin, “Un grave défaut d’alignement de l’IA en mathématiques, 28 jours plus tard” (“A serious alignment failure of AI in mathematics, 28 days later”), seminar talk, Société Mathématique de France, October 8, 2026, recording; quotations translated from the French recording; see also Steve Hsu, post on X, October 9, 2026.

Hugo Duminil-Copin, “Un grave défaut d’alignement de l’IA en mathématiques, 28 jours plus tard” (“A serious alignment failure of AI in mathematics, 28 days later”), seminar talk, Société Mathématique de France, October 8, 2026, recording; quotations translated from the French recording; see also Steve Hsu, post on X, October 9, 2026.

Hugo Duminil-Copin, “Un grave défaut d’alignement de l’IA en mathématiques, 28 jours plus tard” (“A serious alignment failure of AI in mathematics, 28 days later”), seminar talk, Société Mathématique de France, October 8, 2026, recording; quotations translated from the French recording; see also Steve Hsu, post on X, October 9, 2026.

Hugo Duminil-Copin, “Un grave défaut d’alignement de l’IA en mathématiques, 28 jours plus tard” (“A serious alignment failure of AI in mathematics, 28 days later”), seminar talk, Société Mathématique de France, October 8, 2026, recording; quotations translated from the French recording; see also Steve Hsu, post on X, October 9, 2026.

Hugo Duminil-Copin, “Un grave défaut d’alignement de l’IA en mathématiques, 28 jours plus tard” (“A serious alignment failure of AI in mathematics, 28 days later”), seminar talk, Société Mathématique de France, October 8, 2026, recording; quotations translated from the French recording; see also Steve Hsu, post on X, October 9, 2026.

Stanford Encyclopedia of Philosophy: “Akan Philosophy of the Person,” secs. 1–3, on Wiredu, Gyekye, basic standing and communal obligations; “Chinese Ethics,” secs. 2.1–2.2, on ren, li and cultivation; “Mind in Indian Buddhist Philosophy,” secs. 1.1–1.2, on not-self and suffering. These are interpretive surveys, not declarations of unanimity. The applications to AI and labor markets are this chapter’s argument.

Philipp Haslbauer, “Experimental Art Installation ‘Deus in Machina’—First Results,” November 25, 2024, pp. 1–6: approximately 900 conversations and 290 questionnaires, with reported topics and responses. The organizers’ accompanying release expressly excludes confession and replacement of pastoral care. The university’s project record dates the installation August 23–October 20. Visitor responses are not evidence of pastoral effectiveness.

Magnifica Humanitas, paras. 149 and 156–69, especially 166–69 on family, identity and participation. These passages state the encyclical’s social teaching about work and support; they are not themselves experimental evidence that income assistance cannot improve well-being.

Marie Jahoda, Paul F. Lazarsfeld, and Hans Zeisel, Marienthal: The Sociography of an Unemployed Community (first English ed., 1971), pp. 36–39 and 66–77. These passages document the library, theater, park and changing experience of time; women’s continuing unpaid work is an important contrast. Factory closure extended from 1929 into 1930; see the Austrian sociology archive’s contemporary report and chronology. The study concerns unemployment amid severe deprivation, not financially secure leisure.

Maximilian Kasy and Lukas Lehner, “Employing the Unemployed of Marienthal: Evaluation of a Guaranteed Job Program,” IZA Discussion Paper 16088 (April 2023), secs. 1–4.1. The initial sixty-two participants entered two waves; additional comparisons used other municipalities. Findings differ by outcome and comparison: social recognition is not the separate social-status measure. The intervention combined income and supported employment, without an equal-income cash-only group.

Richard E. Lucas, Andrew E. Clark, Yannis Georgellis, and Ed Diener, “Unemployment Alters the Set Point for Life Satisfaction,” Psychological Science 15, no. 1 (2004): 8–13. The reported incomplete recovery after reemployment is an average, with substantial individual variation. The observational study measures life satisfaction, not permanent damage to every person who loses a job.

Anne Case and Angus Deaton, “The Great Divide: Education, Despair and Death,” NBER Working Paper 29241 (September 2021), introduction and discussion of opioid supply; subsequently published in Annual Review of Economics 14 (2022). The authors develop an economic and social explanation of educational mortality disparities while treating pharmaceutical supply and political enabling as consequential. Their explanation should be distinguished from the mortality trends themselves, and from the separate life-satisfaction study cited above.

Stephanie Chan, Julian Jacobs and Logan Cross, “What is work for? Human wellbeing and the value of work in the AGI era”, DeepMind Institute, October 29, 2026, sections 2-3; accompanying review, Work, Wellbeing, and Choice: Empirical Lessons for AI Futures. The supplied essay summarizes prior retirement-transition research and develops the recognition argument. Its separate four-country hypothetical income-for-exit survey is not used as evidence of observed behavior here.

Stephanie Chan, Julian Jacobs and Logan Cross, “What is work for? Human wellbeing and the value of work in the AGI era”, DeepMind Institute, October 29, 2026, sections 2-3; accompanying review, Work, Wellbeing, and Choice: Empirical Lessons for AI Futures. The supplied essay summarizes prior retirement-transition research and develops the recognition argument. Its separate four-country hypothetical income-for-exit survey is not used as evidence of observed behavior here.

Max More and Natasha Vita-More, FUTURES Podcast interview transcript, their accounts of childhood influences, serious illness and the freedom to choose bodily modification. These are autobiographical recollections; the source establishes their stated motivations. The clinical effectiveness of proposed methods requires separate evidence.

Ray Kurzweil, “A Singularity Q + A”, text dated 2005, republished February 20, 2024. The 2045 date and integration claims are forecasts.

Blue Origin, “About Blue”, company mission and attributed statement by Jeff Bezos. The text states an intergenerational ambition, not an achieved settlement or timetable.

Dario Amodei, “Machines of Loving Grace”, October 2024, introduction and section on biology and health. The essay explicitly presents conditional guesses about beneficial futures.

Ilya Sutskever, post on X, October 6, 2023.

Madhumita Murgia, “Google DeepMind Dismantles Nobel-Winning AlphaFold Team in Strategy Shift,” Financial Times, July 29, 2026, syndicated by Yahoo Finance. The report attributes internal moves to DeepMind’s confirmation and departures to its analysis of the papers’ authors. Mary Randolph’s August 7 follow-up includes a separate company response and records continued availability of the database and server. These accounts establish personnel changes, not whether general systems will advance science more effectively.

EMBL-EBI and Google DeepMind, AlphaFold Protein Structure Database, checked October 1, 2026, which describes open access to “over 260 million protein structure predictions.”

Lawrence Livermore National Laboratory, “Achieving Fusion Ignition,” dates the first ignition December 5, 2022, and the 8.6-megajoule result April 7, 2025. DOE’s Fusion Science and Technology Roadmap, June 2026, pp. 15–16 and 24, distinguishes scientific from engineering gain and identifies outstanding development areas. DOE’s Office of Fusion overview describes the mid-2030s pilot objective. This is a development goal, not a demonstrated plant or guaranteed delivery date.

Stephen Shankland, “CFS Delivers Its First Fusion Magnet—a Stronger, Smaller Design,” January 6, 2026, reports delivery the previous December. Google DeepMind, “Bringing AI to the Next Generation of Fusion Energy,” October 16, 2025, describes TORAX’s use in CFS workflows and reinforcement-learning control as an investigation. Its illustrated SPARC heat-load sequence is a simulation, not an actual machine pulse.

Helion, announcement of its Microsoft power-purchase agreement, May 10, 2023: planned operation by 2028 and at least 50 megawatts after a one-year ramp-up. Its June 16, 2026 update still describes construction and work toward a transmission-interconnection agreement. These are company announcements; the purchase agreement itself is not reproduced in them.

Lawrence Livermore National Laboratory, “Achieving Fusion Ignition,” dates the first ignition December 5, 2022, and the 8.6-megajoule result April 7, 2025. DOE’s Fusion Science and Technology Roadmap, June 2026, pp. 15–16 and 24, distinguishes scientific from engineering gain and identifies outstanding development areas. DOE’s Office of Fusion overview describes the mid-2030s pilot objective. This is a development goal, not a demonstrated plant or guaranteed delivery date.

Jordan Macknick et al., Water Security Grand Challenge Workshop Outcomes, DOE, July 2019, pp. 5–6, identifies energy, pretreatment and brine-management costs. DOE’s “Direct Air Capture” explanation distinguishes separation energy from storage or use costs. See also the executive summaries of IEA’s Ammonia Technology Roadmap (2021) and Iron and Steel Technology Roadmap (2020), on energy prices, technology and supporting infrastructure. Their scenarios are not observations of subsequent deployment. The town and carbon-removal examples are conditional illustrations, not cost estimates.

Iñaki Aldasoro, Sebastian Doerr, Leonardo Gambacorta, and Daniel Rees, “The Impact of Artificial Intelligence on Output and Inflation,” BIS Working Paper 1179 (April 2024), introduction; Joshua Brault, Maryam Haghighi, and Jing Yang, “Monetary Policy in an AI-Driven Two-Speed Economy,” Bank of Canada Staff Working Paper 2026-27 (July 2026), introduction. These are conditional research models, not official forecasts; the latter distinguishes augmentation from automation and assumes sticky prices and downward wage rigidity. For GDP accounting, see the BEA’s “The Expenditures Approach to Measuring GDP,” June 3, 2025. Intermediate purchases are not additional GDP; final investment is a separate category.

Iñaki Aldasoro, Sebastian Doerr, Leonardo Gambacorta, and Daniel Rees, “The Impact of Artificial Intelligence on Output and Inflation,” BIS Working Paper 1179 (April 2024), introduction; Joshua Brault, Maryam Haghighi, and Jing Yang, “Monetary Policy in an AI-Driven Two-Speed Economy,” Bank of Canada Staff Working Paper 2026-27 (July 2026), introduction. These are conditional research models, not official forecasts; the latter distinguishes augmentation from automation and assumes sticky prices and downward wage rigidity. For GDP accounting, see the BEA’s “The Expenditures Approach to Measuring GDP,” June 3, 2025. Intermediate purchases are not additional GDP; final investment is a separate category.

Iñaki Aldasoro, Sebastian Doerr, Leonardo Gambacorta, and Daniel Rees, “The Impact of Artificial Intelligence on Output and Inflation,” BIS Working Paper 1179 (April 2024), introduction; Joshua Brault, Maryam Haghighi, and Jing Yang, “Monetary Policy in an AI-Driven Two-Speed Economy,” Bank of Canada Staff Working Paper 2026-27 (July 2026), introduction. These are conditional research models, not official forecasts; the latter distinguishes augmentation from automation and assumes sticky prices and downward wage rigidity. For GDP accounting, see the BEA’s “The Expenditures Approach to Measuring GDP,” June 3, 2025. Intermediate purchases are not additional GDP; final investment is a separate category.

Dario Amodei, “Machines of Loving Grace”, October 2024.

Pascual Restrepo, “We Won’t Be Missed”, in The Economics of Transformative AI (NBER); Anton Korinek and Megan Juelfs, NBER Working Paper 30172, 2022.

Tom Davidson, “Could Advanced AI Drive Explosive Economic Growth?”, 2021; Philip Trammell and Anton Korinek, NBER w31815; Anton Korinek and Donghyun Suh, NBER w32255; Daron Acemoglu, “The Simple Macroeconomics of AI”, 2024; Tyler Cowen, “Why I think AI take-off is relatively slow”, February 23, 2025; Charles I. Jones, “The AI Dilemma: Growth versus Existential Risk,” AER: Insights (2024).

Sam Altman, “Moore’s Law for Everything”, March 16, 2021; “The Gentle Singularity”, 2025.

Dario Amodei, “Policy on the AI Exponential”, June 2026; “The Adolescence of Technology”, January 2026.

Eva Vivalt et al., “The Employment Effects of a Guaranteed Income”, NBER Working Paper 32719, revised August 2026.

Eva Vivalt et al., “The Employment Effects of a Guaranteed Income”, NBER Working Paper 32719, revised August 2026.

Nick Bostrom, Superintelligence (Oxford University Press, 2014), ch. 14; Future of Life Institute, Asilomar AI Principles, principle 23 (2017).

Jacob Whiton, “New Data on Data Center Subsidies, Same Old Problems,” July 25, 2023, for Columbus; Good Jobs First’s October 11, 2016 study announcement, for the eleven-deal sample. J. Dale Shoemaker, “Data Center Wants Subsidies of $6.4 Million per Job,” Investigative Post, February 4, 2026, reprinted by Portside, describes the Stream proposal and separate expected public revenues. These ratios concern operating jobs, not temporary construction employment or net jobs demonstrably caused by subsidies.

Treasury’s June 26, 2009 warrant-disposition policy distinguishes public-company common-stock warrants from warrants for preferred stock or debt received from nonpublic institutions and immediately exercised. It also describes valuation and appraisal procedures. Its August 25, 2011 report announcement records subsequent repurchases and auctions. The example concerns contractual claims and realized proceeds, not the fairness or total fiscal outcome of TARP.

Michael L. Ross, “Does Taxation Lead to Representation?”, British Journal of Political Science 34, no. 2 (2004), pp. 229–249, especially pp. 238–240 and 243–248. The county and dividend arguments here are the author’s extensions, not tested findings from that paper. Dean Ball, “Introducing Intelligence Age,” August 20, 2026; the blog was initially named AI Futures. Its Madison epigraph comes from Federalist No. 48.

Wielechowski v. State, 403 P.3d 1141 (Alaska 2017), decided August 25, 2017; Alaska Constitution, article IX, section 15, for the protected principal. The 2016 dividend was $1,022; the estimate without the veto was about $2,052.

Alaska’s State Assessor tax facts distinguishes state from municipal taxes; the governor’s Administrative Order 358, background, records the historical oil-revenue share. APFC’s fund-structure explanation separates protected principal from spendable earnings and describes the 2018 draw framework. The dividend division’s FAQ specifies eligibility. On appropriation and the 2016 veto, see Wielechowski v. State, 403 P.3d 1141 (Alaska 2017), introduction and factual history. For Norway, see the fund manager’s overview and the finance ministry’s fiscal-policy framework. These sources describe institutions; they do not establish that investment-funded governments cease to answer to voters.

Treasury’s June 26, 2009 warrant-disposition policy distinguishes public-company common-stock warrants from warrants for preferred stock or debt received from nonpublic institutions and immediately exercised. It also describes valuation and appraisal procedures. Its August 25, 2011 report announcement records subsequent repurchases and auctions. The example concerns contractual claims and realized proceeds, not the fairness or total fiscal outcome of TARP.

U.S. Department of Commerce, CHIPS for America: Commercial Fabrication Facilities—Frequently Asked Questions, p. 12, “How will upside sharing work?” (marked added April 3, 2024). The provision concerns cash flows or returns significantly above agreed projections. It is a published funding framework, not evidence that every award used identical terms or that collections have occurred.

Alaska’s State Assessor tax facts distinguishes state from municipal taxes; the governor’s Administrative Order 358, background, records the historical oil-revenue share. APFC’s fund-structure explanation separates protected principal from spendable earnings and describes the 2018 draw framework. The dividend division’s FAQ specifies eligibility. On appropriation and the 2016 veto, see Wielechowski v. State, 403 P.3d 1141 (Alaska 2017), introduction and factual history. For Norway, see the fund manager’s overview and the finance ministry’s fiscal-policy framework. These sources describe institutions; they do not establish that investment-funded governments cease to answer to voters.

U.S. Department of Commerce, CHIPS for America: Commercial Fabrication Facilities—Frequently Asked Questions, p. 12, “How will upside sharing work?” (marked added April 3, 2024). The provision concerns cash flows or returns significantly above agreed projections. It is a published funding framework, not evidence that every award used identical terms or that collections have occurred.

Stefanie Deinet et al., Living Planet Report 2024 Technical Supplement: Living Planet Index, ZSL, pp. 4–11, 15, 18–20 and 28–29. The index uses geometric aggregation, not a simple headcount average. The supplement explains coverage limitations and tests sensitivity to extreme trends. Neither all wildlife nor all monitored populations follow the headline decline.

UNEP, Limiting Overshoot, key messages, September 2, 2026, pp. 1–3. Returning below 1.5°C remains a goal, not a guaranteed outcome; the assessment warns of irreversible losses even after a return. For the contemporaneous policy commitments, see the G20 Innovation Ministerial Statement, pp. 1–3. The comparison is the author’s, not a conclusion drawn by either document.

Pacific Railway Act, July 1, 1862, 12 Stat. 489, which granted land and government bonds on conditions including completion by July 1, 1876; Communications Act of 1934, 47 U.S.C. § 309(a), for the licensing standard of “public interest, convenience, and necessity.”

British Museum, “Everything you ever wanted to know about the Rosetta Stone”, for the 1799 discovery and Champollion’s paper to the Académie on September 27, 1822; University of Cambridge Faculty of Classics, Ventris’s process, for the 1952 announcement; Bletchley Park, “6 facts about the Bombe”, on Turing’s design; George Lasry, Norbert Biermann and Satoshi Tomokiyo, “Deciphering Mary Stuart’s lost letters from 1578–1584”, Cryptologia 47, no. 2 (2023).

Vesuvius Challenge, “The first scroll”, on reading PHerc. 1667 end to end in June 2026 (a preprint; only the scroll’s inner core survives) and the 2023 first word; Yannis Assael et al., “Contextualizing ancient texts with generative neural networks”, Nature, July 23, 2025, for Aeneas’s 72 percent accuracy in attributing an inscription to one of 62 Roman provinces.

Beff Jezos and bayeslord, “Notes on e/acc principles and tenets”, July 10, 2022; Marc Andreessen, “The Techno-Optimist Manifesto”, October 16, 2023; Dario Amodei, “We Must Pace the Frontier”, September 2026. Land’s background: Andy Beckett, The Guardian, May 11, 2017.

Beff Jezos and bayeslord, “Notes on e/acc principles and tenets”, July 10, 2022; Marc Andreessen, “The Techno-Optimist Manifesto”, October 16, 2023; Dario Amodei, “We Must Pace the Frontier”, September 2026. Land’s background: Andy Beckett, The Guardian, May 11, 2017.

Nick Bostrom, interview with Theo Jaffee on MTS, “Why Speeding Up AI Could Save Lives”, October 8, 2026; quotations transcribed from the recording.

Nick Bostrom, “Optimal Timing for Superintelligence: Mundane Considerations for Existing People,” working paper, listed as new on nickbostrom.com (accessed October 9, 2026).

Nick Bostrom, “Optimal Timing for Superintelligence: Mundane Considerations for Existing People,” working paper, listed as new on nickbostrom.com (accessed October 9, 2026).

Nick Bostrom, interview with Theo Jaffee on MTS, “Why Speeding Up AI Could Save Lives”, October 8, 2026; quotations transcribed from the recording.

Nick Bostrom, interview with Theo Jaffee on MTS, “Why Speeding Up AI Could Save Lives”, October 8, 2026; quotations transcribed from the recording.

Nick Bostrom, interview with Theo Jaffee on MTS, “Why Speeding Up AI Could Save Lives”, October 8, 2026; quotations transcribed from the recording.

Nick Bostrom, interview with Theo Jaffee on MTS, “Why Speeding Up AI Could Save Lives”, October 8, 2026; quotations transcribed from the recording.

Nick Bostrom, interview with Theo Jaffee on MTS, “Why Speeding Up AI Could Save Lives”, October 8, 2026; quotations transcribed from the recording.

Elon Musk, post of October 5, 2026, original text recovered in the source register. The quoted sentence states a success condition and uses the bootloader metaphor. The discussion examines that criterion.

METR, “Measuring AI Ability to Complete Long Software Tasks”, March 19, 2025, and “Time Horizon 1.1”, January 29, 2026. The seven-month figure is a historical fit, not a fixed rate of future improvement. The revised suite changed estimates and growth rates over shorter periods. METR’s methodology, checked September 7, 2026, defines the horizon using a fitted success curve and human task durations; it warns that estimates above sixteen hours are unreliable with the current suite. An agent’s runtime, its success on a particular task and its suitability for a workplace are separate questions.

Peter Gostev, post on X, October 7, 2026.

Eliezer S. Yudkowsky, “Staring into the Singularity” (1996), section 2.4, archived at yudkowsky.net/obsolete/singularity.html.

Nick Bostrom, Superintelligence (Oxford University Press, 2014), ch. 3.

Nick Bostrom, Superintelligence (Oxford University Press, 2014), ch. 3.

Nick Bostrom, Superintelligence (Oxford University Press, 2014), ch. 3.

Jason Li, “How many AI agents could run on the AI chips shipped through 2027?”, Epoch AI, October 2, 2026.

Ethan Mollick, post on X, October 7, 2026.

Kevin Buzzard, “To grieve, or not to grieve?”, Xena Project blog, October 1, 2026.

Denise Schmandt-Besserat, How Writing Came About (University of Texas Press, 1996), on the accounting tokens and tablets behind the first writing; Andrew George, trans., The Epic of Gilgamesh (Penguin Classics, 1999).