ClaimsPeople

Sam Altman

Sam Altman co-founded OpenAI and serves as its chief executive officer, according to OpenAI's own announcement and Crunchbase.

930 claims collected, 238 researched, 87 resolved. Report of 4 November 2026, method 0.1.0+c876030c.

Scores by kind of claim

Each kind of claim is scored on its own, out of 100: the share that held up, with the range it likely falls in. Fewer resolved claims give a wider range.

  • Factual claims

    Statements about the present or the past, checked against the record: did they hold up?

    83 77 88

    High confidence, 77 factual claims resolved. From 18 documents, 2014 to 2026; 19 documents sampled from 35 candidates found.

    Not scored: 28 unresolvable, 18 checkable only against their own records.

  • Predictions

    Statements about events outside the person's control, checked once they fell due: did they come true?

    69 49 87

    Low confidence, 5 predictions resolved. From 4 documents, 2017 to 2025; 19 documents sampled from 35 candidates found.

    Not scored: 94 unresolvable. 9 more fall due later.

    Does not yet allow for how likely each prediction was when made.

  • Promises

    Commitments to the person's or organisation's own future action, with something to deliver: was it delivered?

    69 49 87

    Low confidence, 5 promises resolved. From 4 documents, 2017 to 2024; 19 documents sampled from 35 candidates found.

    Not scored: 1 unresolvable, 1 checkable only against their own records.

All types combined: 81 (likely 76 to 86, high confidence), from 87 claims: 77 factual claims, 5 predictions, 5 promises. It mixes kinds of claim in different proportions for different people, so compare people kind by kind.

Sam Altman's claims

4 claims

4 claims, sorted by newest said. Choose a claim to read it in full.
VerdictKindSaidClaimTopic
Mixed Factual 11 Sep 2025 Current AI models now hallucinate only a little bit. Factual · 11 Sep 2025 AI capabilities
Mixed Factual 11 Sep 2025 AI models such as ChatGPT do not do anything unless a user asks them to. Factual · 11 Sep 2025 AI capabilities
Mixed Factual 9 Aug 2025 GPT-5 is significantly better than earlier models at healthcare-related queries. Factual · 9 Aug 2025 AI capabilities
Mixed Factual 16 Feb 2019 There has been a massive surge in the availability of cheap seed funding for startups. Factual · 16 Feb 2019 Economics and markets
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Sam Altman

Open its page

Factual AI capabilities

“They now hallucinate a little bit.”

Sam Altman, OpenAI CEO, interviewed 11 September 2025 Transcript: Sam Altman Interview on Tucker Carlson Show (Singju Post)

Current AI models now hallucinate only a little bit.

Mixed Partly true and partly false in roughly equal measure.

Said for an organisation they lead or work for; it counts on both records.

What would count as true or false

True: as of 2025-09-11, benchmark and independent evaluation data show leading AI models (e.g. GPT-5) hallucinating at low rates in typical use, e.g. low single-digit percentages on standard factuality tests. Mostly true: hallucination rates are low in common settings but noticeably higher in some notable ones. Mixed: rates are low on some widely used benchmarks but substantial on others, such as open-ended factual questions without retrieval. Mostly false: rates fell but remain substantial on many standard measures, so 'a little bit' understates them, or the claim generalises from one model or setting. False: evaluations show current models still hallucinate often across common tasks.

Evidence

  1. ChatGPT-5 is more trustworthy than before according to new tests, but this big rival wins the crown for spreading AI nonsense Yahoo Tech (Future syndication) · 12 August 2025
    “According to Vectara, GPT-5 has a grounded hallucination rate of 1.4%, compared to 1.8% for GPT-4, and 1.69% for GPT-4 turbo and 4o mini, with 1.49% for GPT-4o.”
  2. ChatGPT-5 is more trustworthy than before according to new tests, but this big rival wins the crown for spreading AI nonsense Yahoo Tech (Future syndication) · 12 August 2025
    “While hallucination rates are dropping amongst almost all LLMs, it's still surprisingly common, and one of the main reasons that we can't trust AI to perform a task without human supervision.”
  3. Why language models hallucinate OpenAI · 5 September 2025 Own record
    “Hallucinations remain a fundamental challenge for all large language models, but we are working hard to further reduce them.”
  4. SimpleQA AI Wiki (aiwiki.ai) · 30 October 2026
    “the August 2025 GPT-5 system card reported gpt-5-thinking at 55% accuracy with a 40% hallucination rate on SimpleQA”

Reasoning

E1 reports that, according to Vectara, GPT-5's grounded hallucination rate was 1.4%, a low single-digit figure. E4, however, cites the August 2025 GPT-5 system card as giving gpt-5-thinking a 40% hallucination rate on SimpleQA. E2, an independent article, describes hallucination as still surprisingly common even though rates are falling. Rates are low on one widely used benchmark and substantial on open-ended factual QA, which matches the criteria's definition of mixed.

Cite this claim

Sam Altman, “Current AI models now hallucinate only a little bit.” (said 11 September 2025). Verdict: mixed. Reliability API, claim c_4e1607e0cf00, method 0.1.0+c876030c. https://epistacklabs.com/claims/c_4e1607e0cf00

Claims without a verdict

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