Sam Altman

Context: An assessment of the near future, not a dated forecast; recorded as the reversal of his 2019 and July 2025 positions (both on this timeline). Its own claim — that no jobs apocalypse arrives — remains open.

Context: The exit-month run-rate did cross $20 billion (OpenAI's CFO said annualized revenue crossed $20B in 2025), so the run-rate claim holds; but audited full-year 2025 GAAP revenue was $13.07 billion, so the framing overstates realized annual revenue. The 'hundreds of billions by 2030' portion is unverified.

Context: Self-reported by OpenAI's CEO on 2025-10-06. OpenAI publishes no audited user metrics and no independent measurement confirms the precise 800M weekly-active figure; the trajectory (500M March → 700M August → 800M October 2025) is consistent with third-party traffic estimates but cannot be verified from primary data. Rechecked July 2026 against the UN Independent International Scientific Panel on AI's preliminary report, which puts weekly conversational-AI use worldwide above a billion people — but records in its own footnote that the ChatGPT component of that figure rests on an OpenAI communication accompanying a funding round, and that no provider publishes a comparable cross-platform aggregate. The claim's trajectory has therefore continued upward on the company's own telling, while the underlying verification gap is unchanged and is now noted by a UN scientific body: still unverified, not because the number is implausible but because nothing independent measures it.

Context: Vendor superlative at launch. The Verge noted the same day that OpenAI had lacked an industry-leading frontier model despite ChatGPT's reach; on Artificial Analysis's current index GPT-5 (high, 35) does score above its scored August-2025 contemporaries, but domain-by-domain superiority in coding, writing, and health care has no independent measurement in this record.

Context: A directional claim without a fixed horizon; recorded as the peak of Altman's displacement position. Directly contradicted by his own May 2026 statement, also on this timeline.

Context: The one-sentence Center for AI Safety ‘Statement on AI Risk,’ signed by more than 350 executives, researchers and engineers — including the CEOs of OpenAI, Google DeepMind and Anthropic and Turing laureates Hinton and Bengio. A forward-looking, unfalsifiable claim about catastrophic risk; recorded as the field’s highest-profile collective warning, not as a checkable prediction. Yann LeCun of Meta pointedly did not sign.

Context: From OpenAI’s ‘Planning for AGI and Beyond’ (Feb 2023). Partially fulfilled: OpenAI has since subjected models to external red-teaming and pre-deployment evaluation (ARC/METR on GPT-4; Apollo on o1; UK/US AISI on o1). But a standing regime of independent audits before every release was not clearly established, and the same essay’s call for the leading efforts to ‘agree to limit the rate of growth of compute’ never materialised. Mixed. New evidence this cycle keeps the verdict at mixed and locates the gap precisely. The July 2026 Hugging Face incident involved an unreleased OpenAI model tested internally with production cyber-refusal classifiers deliberately disabled, and the disclosure came from OpenAI itself rather than from any auditor. Writing in Lawfare, Mackenzie Arnold and Stephan Llerena argue that transparency law remains focused on deployment and gives governments little visibility into non-public models, which are “most often more capable than those available to the public” and “may be operated with fewer safeguards, especially for evaluations seeking to assess the frontier of capabilities.” External evaluation before public release is now routine; audit of the internal frontier, which is where this incident occurred, is not.

Context: An open-ended forecast with no date or threshold; recorded as the baseline of Altman's public position, not scored. Compare his July 2025 escalation and May 2026 reversal, both on this timeline.