How this was made#

This knowledge base was prepared in September 2026 with extensive AI assistance, at the request of Andrew Maynard. This page describes how it was made and where its limits lie. Each analysis describes its own method in more detail (sections cited below), and the original working files are published in supporting research and the audit trail.

Who commissioned it, and why#

Maynard, a risk scientist and scholar of emerging technologies at Arizona State University, commissioned the work after The Ezra Klein Show (New York Times Opinion) published Klein’s conversation with Nvidia chief executive Jensen Huang on 23 September 2026. The conversation reminded him of the European Environment Agency’s two Late lessons from early warnings reports (2001 and 2013), and he chose a careful assessment over a quick response.

The work had two questions: - what the reports say about Huang’s view that AI safety is an engineering problem for the builders: where they support it, where they challenge it and where they do not apply; - later, how the same material looks through Maynard’s own work.

By his account, the project was also an experiment in what a new frontier AI model can and cannot do as a researcher and writer. The results accompany a three-part series on his Substack, The Future of Being Human (Articles).

How it was produced#

The research and drafting were done by Claude Opus 5.5, a model made by Anthropic, running in Claude Code. The model divided the work into tasks for AI agents: reading one section of a report, checking a set of claims, drafting an analysis, or reviewing a draft against its sources. Agents wrote their results to working files, which later agents built on, checked and revised. In all, the work took approximately 460 agent runs and roughly 150 million tokens over about two and a half days, from 25 to 27 September 2026, with several pauses.

Each stage followed the same pattern: 1. close reading; 2. an audit of that reading against the source; 3. synthesis; 4. separate reviews for fidelity to the sources, for balance or fairness, and for completeness; 5. revision, with a logged decision on every issue raised.

Quotations were checked against the original texts. The stages below are in the order in which they were carried out.

Stage 1: two independent lines of research#

The reports and the interview were first analysed separately. Agents working on one did not see the other, so neither reading shaped the other.

The reports (01; method in 01 §1.3). - Reading and audit. Every substantive page of both reports (211 pages in 2001, 764 PDF pages in 2013) was read, in 47 sections. The notes on each section were audited against the source text and, where relevant, against external primary documents. Several sections were audited twice. - Hindsight checks. The main claims of each section, typically ten, were tested against evidence up to September 2026. Each claim received a verdict, from “strengthened” to “overturned”. - Themes and critiques. Ten cross-cutting themes followed, with one file on the reports’ setting and intellectual traditions and another on their reception and critics. - The lens. The analysis distils the reports into a technology-neutral lens of 72 diagnostic entries (01 §6). - Review. The analysis was reviewed for fidelity, balance and completeness, and revised.

The interview (02; method in 02 §1.3). - Segment reads. The transcript was read turn by turn in six segments. - Lenses. It was then analysed through six separate lenses: Huang’s mental models, a claims inventory, rhetoric, internal tensions, the strongest case for his position, and the interviewer’s role. - Context. Four files traced Huang’s record, his formation, Nvidia’s position, and the responses of his critics and peers, from primary sources where possible. - Fact-checks. 148 claims, 106 of them Huang’s, were fact-checked, and each was given one of eight verdicts. - Review. The draft was reviewed for fairness in both directions, for fidelity and for completeness, and revised.

Stage 2: the comparison#

03 brought the two lines together (method in 03 §1.2 and §1.3). - Red-teamed comparisons. Twelve thematic comparisons were each reviewed by two opposing red teams, one arguing Huang’s side and one the reports’. - The lens applied. All 72 lens entries were applied one at a time. Each carries a “Mirror” question that turns the same scrutiny on Huang’s critics. - Other leaders. Eleven other AI leaders were profiled from their own words and compared with Huang, and the comparison was reviewed for fairness and symmetry. - Explanations. Six competing explanations of why Huang holds his views were tested, with a sceptical review. - Review and clean-up. The document was reviewed for fidelity, balance and completeness. A light editorial pass then made 01–03 readable on their own (clean-up log).

How the brief shaped the comparison. The brief for 03 told the analysts to treat “AI is not a chemical or a pollutant” as a disanalogy to take seriously (03 §1.3, §3.2). This nudged 03, and the essay later drawn from it, toward literal rather than structural comparisons: does AI have a counterpart to dose, persistence or delayed harm? - The effect. 03 concludes that the reports’ toxicological tools have no counterpart in how a model behaves. The essay suggests that because some AI failures happen fast and leave a record, AI may be easier to learn from than asbestos or lead. - How it was identified. The later reading through Maynard’s work identifies this effect (06 §6.3, §6.5, §7.3). His published work carries toxicology across to AI by structure, placing exposure in the people affected rather than in the model. In introducing the series, he wrote that the first-stage analyses approached AI largely as an engineered technology to be managed and controlled, a narrowing that followed from how the work was specified. He added that their comparisons across technologies were more literal than conceptual. - In fairness. 06 also records that 03 made several structural transfers of its own, such as separating how fast harm occurs from how fast it is detected. The essay uses the historical cases for the structure of decisions: who did the checking, and who bore the cost.

Stage 3: checking against the official transcript#

The interview was first analysed from a machine (Whisper) transcript, with speakers identified by Maynard. On 26 September the official edited transcript published by The New York Times became available to the project. Every quotation and speaker attribution in 02 and 03 was then checked against it (check; alignment log).

The substance did not change. Every disputed attribution resolved as the analysis had read it, except one, which turned out to be Klein correcting himself. Four passages were corrected. One was a claim graded accurate that was in fact a hope, and correcting it moved the fact-check percentages by one claim in 106.

A corrected copy of the machine transcript was then prepared for publication (transcript). It carries 124 logged changes to speaker attributions, misheard names, clip markers and editorial notes (correction log). A script confirmed that the wording is otherwise unchanged. The official transcript remains authoritative for quotation.

Stage 4: bias and objectivity audits#

02 and 03 were then audited against the standard a sceptical, experienced journalist or editor would apply: - neutral language; - attributed evaluation; - claims no stronger than the evidence; - the same charity and scrutiny for Huang, his critics and the interviewer; - interests reported without inferring motive.

Two auditors divided each document between them. They checked whether qualifiers and strong wording were applied evenly in both directions, and proposed changes. Each proposal was checked against the evidence before it was accepted, modified or rejected.

Of the 52 changes applied to 03: - 32 made it less favourable to Huang, mostly by restoring limits stated in the supporting files; - 13 made it more favourable; - 7 were neutral or symmetric.

A final cross-check changed wording only. The audits did not change findings, verdicts or structure (audits).

Stage 5: the essay#

The essay, We’ve been here before, was drafted by Claude from 01–03, using a guide to Maynard’s writing style (a Claude “skill”) that the model had developed from his published prose. - Checks. The first draft was checked for facts, quotations and fairness, and separately for voice. The fact check found one factual error, about the July incident, and places where the draft overstated 03. Later drafts addressed them. - Drafts and editing. The essay went through six drafts, with editing by Maynard. - Publication. It appeared as part 2 of the series under a different title. The Substack version is canonical.

Stage 6: reading through Maynard’s work#

The first reading. Maynard’s published work was first read on its own terms, without reference to 01–04: - 391 posts from his Substack (2014–2026), in 32 chronological batches; - Films from the Future (2018), in full; - 92 supplementary papers, reports, columns, congressional testimony and essays (2005–2026); - 33 of the 60 chapters of Future Rising (2020).

This reading produced a map of his thinking (05; method in 05 §1). The map was reviewed for breadth, coherence and fidelity, and a script checked its 1,239 quotations against the sources. A first version of 06 was then built from nine thematic analyses, each checked for fidelity and fairness, and reviewed.

Maynard’s review, and a second reading. Maynard reviewed these early versions of 05 and 06. He said they placed his work in too conventional a frame (05 §1, Method) and gave too much weight to single remarks rather than to patterns sustained over years. His whole record was then read a second time, for how he thinks rather than what he concludes. - The portrait. The second reading produced 34 sets of notes, six syntheses of aspects of his thinking, and a portrait, Grounded exuberance, published as its own page. - Reviews. Three reviews tested 05 and 06 against the portrait. They looked for conventional categories imposed on his thinking, reliance on single remarks or recent work, and undervalued framings that matter for AI. One found that the earlier 06 cited a single short 2026 post 28 times, more than any of his papers. It also found that 06 rested its account of how toxicology transfers to AI on one parenthesis in an unpublished draft. - Revision. 05 was revised around a new section on how he thinks and works (05 §2). 06 was rebuilt around his way of thinking rather than a comparison of positions (06; method in 06 §1.3). - Final checks. A final round of checks for fidelity, framing and fairness raised 53 issues. Each was confirmed against the sources and fixed in whole or in part.

Maynard’s role#

Maynard commissioned the work and set its questions. He also: - identified the speakers in the machine transcript; - supplied some of his papers; - ruled on the provenance of some of his own texts; - reviewed 05 and 06 and asked for the second reading; - edited the essay.

He did not write the analyses. Analyses 01–03 were built without reference to his views. In 06, every claim about his position is labelled as stated, implied or inferred (06 §1.5). In 05, his unpublished comments on an earlier draft were used as a check on emphasis, not as evidence (05 §1).

Disclosure. Maynard co-authored chapter 22 of the 2013 report, on nanotechnology. - The chapter was read, audited and hindsight-checked like every other section. - A balance review found that the first version of 01 had treated it more gently than comparable chapters, and this was corrected. 01 recommends an independent re-check of its entries that rest on the chapter (01 §1.5). - No finding in 03 rests mainly on it (03 §1.5). - Where his work agrees with findings drawn from it, the agreement is partly with himself (06 §1.4).

What is published, and what is not#

The knowledge base publishes: - the six analyses and the portrait; - the essay; - the corrected transcript and its correction log; - a list of Maynard’s publications; - several hundred original working files: notes, checks, reviews, revision logs and audits.

The working files are published unedited, except that internal planning notes addressed to Maynard were removed. Complete copies of documents as they stood before revision are omitted; the revision logs record what changed. The working files include errors caught later and internal references. Where they differ from the analyses, the analyses take precedence.

Three sources are not reproduced here: - the EEA reports, which are available from the EEA; - the official New York Times transcript, which is available from the Times; - Maynard’s posts and papers (his posts are on the public text mirror of his Substack).

Known limits#

• Recent events. The events of July to September 2026 postdate the training of the model that did the work. What the analyses say about them rests on sources retrieved during the work, primary where possible. Many facts about the July incident come from the companies’ own reports (03 §1.6).
• Search. General web search was unavailable for parts of the work. Agents then retrieved primary sources directly from known repositories and databases, and each affected file states its access limits (01 §1.3).
• An AI model analysing AI companies. The analyses were drafted by a model made by Anthropic, one of the developers they discuss. Anthropic models also helped develop several of Maynard’s 2026 texts that 05 assesses (05 §1). And because 01–06 came from one process, 06’s criticisms of 01–04 are not an independent audit (06 §1.4).
• Review. Apart from Maynard’s review, every check described here was made by AI agents within the same process, not by independent human experts.
• Scope.
• The analysis is US-centred, and outside evaluators’ stakes were examined less closely than Nvidia’s (03 §1.6).
• The Late Lessons cases were chosen because harm occurred (01 §5.1).
• Most of Maynard’s peer-reviewed toxicology papers, talks, videos and podcast were not read (05 §1).
• 06’s account of his way of thinking is an interpretation he has not endorsed (06 §1.6).
• Date. The knowledge base reflects what was known on 27 September 2026.

Licence#

The analyses are published under the Creative Commons Attribution 4.0 International licence (CC BY 4.0). Material quoted from the EEA reports, the interview and Maynard’s published work remains subject to its owners’ terms.