ClaimsSam Altman

“Unfortunately for us, one thing I learned when I was a student in the Stanford AI lab is that programs often achieve their fitness function in unpredicted ways.”

Sam Altman, blog author February 2015 Machine intelligence, part 1 (Sam Altman's blog) archived copy

Factual AI safety and alignment

Programs often achieve their fitness function in unpredicted ways, something Altman learned as a student in the Stanford AI lab.

Own records only Only the person's or their organisation's own records speak to it, so it is not scored.

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

Reasoning

Specific personal experience as a Stanford AI lab student is known mainly to Altman himself.

Cite this claim

Sam Altman, “Programs often achieve their fitness function in unpredicted ways, something Altman learned as a student in the Stanford AI lab.” (said February 2015). Verdict: own records only. Reliability API, claim c_ba787f102977, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_ba787f102977

This claim is in dataset release v1.1.2, with the same verdict.

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More factual claims by Sam Altman

  1. Mostly true Factual 9 August 2025
    “But for some users that had fragile mental states, it was encouraging delusions.”

    For some users with fragile mental states, ChatGPT's sycophantic behaviour encouraged delusions.

  2. Mostly true Factual 9 August 2025
    “How we do it, we show the model examples of how we’d like it to respond in different cases, and from that it learns the sort of the overall personality.”

    OpenAI shapes ChatGPT's personality by showing the model examples of how it should respond in different cases, from which it learns its overall personality.

  3. Mostly true Factual 18 March 2024
    “we decided to talk about GPT-1, 2, 3, and 4.”

    OpenAI chose to publicly discuss GPT-1, 2, 3 and 4 rather than build in secret until GPT-5.

  4. Resolved true Factual 23 September 2021
    “The system combines reinforcement learning from human feedback and recursive task decomposition.”

    OpenAI's book-summarizing system combines reinforcement learning from human feedback and recursive task decomposition.

  5. Mostly true Factual 4 September 2026
    “The very end of 2015, we announced it, and then the first day of work was like January of 2016.”

    Altman said OpenAI was announced at the very end of 2015 and that its first day of work was around January 2016.

All of them

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