ClaimsSam Altman

“We created a system that can generate reasonable summaries of entire books.”

Sam Altman, OpenAI CEO, on X 23 September 2021 Post by @sama on X, 2021-09-23 (X)

Factual AI capabilities

OpenAI created a system that can generate reasonable summaries of entire books.

Mostly true True in substance, wrong in a detail.

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

The second judge said resolved true; the verdict shown is the first judge's.

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

What would count as true or false

True: as of 2021-09-23, OpenAI had built and described (e.g. in a paper or blog post) a system that produces summaries of whole books, not just passages, and that the published evaluation shows to be reasonable in at least a meaningful share of cases (e.g. human raters judging some summaries comparable to human-written ones). Mostly true: the system existed and summarised entire books, but OpenAI's own results show the summaries were reasonable only in a minority of cases, or a minor detail differs (e.g. it worked only on certain kinds of books). Mixed: a system existed but summarised only long sections or chapters rather than entire books, or its reasonableness is about evenly supported and contradicted. Mostly false: OpenAI had only an early prototype or partial capability that the claim overstates. False: no such OpenAI system existed by that date, or evidence shows its book summaries were generally not reasonable.

Set before the research began.

Evidence (4)

  1. E1 Summarizing books with human feedback OpenAI · 23 September 2021 Own record

    “Our best model is fine-tuned from GPT‑3 and generates sensible summaries of entire books, sometimes even matching the average quality of human-written summaries: it achieves a 6/7 rating (similar to the average human-written summary) from humans who have read the book 5% of the time and a 5/7 rating 15% of the time.”
  2. E2 Recursively Summarizing Books with Human Feedback arXiv (ar5iv rendering), OpenAI authors Own record

    “Some of these summaries approach human-level quality: over 5% of summaries from the best 175B model were given a score of 6 out of 7, and over 15% were given a 5 out of 7, scores which were also sometimes assigned to human-written summaries (Figure 3).”
  3. E3 Recursively Summarizing Books with Human Feedback arXiv (ar5iv rendering), OpenAI authors Own record

    “However, on average our model summaries are still significantly worse than human-written summaries (Figure 2(a))”
  4. E4 OpenAI unveils model that can summarize books of any length VentureBeat · 23 September 2021

    “OpenAI has developed an AI model that can summarize books of arbitrary length.”

Reasoning

OpenAI's announcement and paper (E1, E2) describe a GPT-3-based model that produces summaries of whole books, and VentureBeat reported independently on the same day that OpenAI had built a model that summarises books of any length (E4). OpenAI's own evaluation shows that only a minority of the summaries came close to human quality. Readers of the book gave a 6/7 rating about 5% of the time and a 5/7 rating about 15% of the time (E1, E2). The paper also says the model's summaries are, on average, significantly worse than human-written ones (E3). This matches the "mostly true" criterion: the system existed and summarised entire books, but its summaries were reasonable only in a minority of cases.

Cite this claim

Sam Altman, “OpenAI created a system that can generate reasonable summaries of entire books.” (said 23 September 2021). Verdict: mostly true. Reliability API, claim c_b59e7b714385, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_b59e7b714385

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

Reply to this claim

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More factual claims by Sam Altman

  1. Mostly true Factual 4 September 2026
    “not until 2020 did we train GPT-3, which was the first model that I think actually was over some threshold of usability.”

    OpenAI trained GPT-3 in 2020, which Altman considers the first model above a threshold of usability.

  2. Resolved true Factual 4 September 2026
    “that it is so capable that it is discovering new knowledge, doing science, able to add huge economic value, create entire pieces of complex software.”

    Altman said that a system "we now have" is capable of discovering new knowledge, doing science, adding huge economic value and creating entire pieces of complex software.

  3. Mixed Factual 11 September 2025
    “They now hallucinate a little bit.”

    Current AI models now hallucinate only a little bit.

  4. Mixed Factual 11 September 2025
    “They don’t do anything unless you ask, right?”

    AI models such as ChatGPT do not do anything unless a user asks them to.

  5. Mostly true Factual 15 August 2025
    “But in terms of figuring out what questions to ask or to work on something over a very long period of time, we are definitely not close to human performance.”

    GPT-5 is not close to human performance at figuring out what questions to ask or working on a task over a very long period.

All of them

Verdicts are made automatically; how verdicts are made.