ClaimsSam Altman

“we decided to talk about GPT-1, 2, 3, and 4.”

Sam Altman, CEO of OpenAI, interview answer 18 March 2024 Transcript for Sam Altman: OpenAI, GPT-5, Sora, Board Saga, Elon Musk, Ilya, Power & AGI (Lex Fridman)

Factual AI safety and alignment

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

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 would not resolve this claim; 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: the record shows OpenAI publicly announced or discussed each of GPT-1, GPT-2, GPT-3 and GPT-4 (via papers, blog posts or releases) around the time it was developed, rather than keeping them secret until a later model. Mostly true: all four were discussed publicly, but one was disclosed only partially or after a notable delay (e.g. GPT-2 staged release, GPT-4's limited technical details). Mixed: about half of the four models were publicly discussed in a timely way. Mostly false: most were kept undisclosed until much later. False: OpenAI did not publicly discuss these models before the launch of a successor.

Set before the research began.

Evidence (4)

  1. E1 Better language models and their implications - OpenAI OpenAI · 14 February 2019 Own record

    “Due to our concerns about malicious applications of the technology, we are not releasing the trained model.”
  2. E2 NeurIPS Poster Language Models are Few-Shot Learners NeurIPS · 1 October 2020

    “Specifically, we train GPT-3, an autoregressive language model with 175 billion parameters, 10x more than any previous non-sparse language model, and test its performance in the few-shot setting.”
  3. E3 GPT‑4 - OpenAI OpenAI · 14 March 2023 Own record

    “We’ve created GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning.”
  4. E4 Awesome-LLM-papers/00_Organizations/0_OpenAI/2018 (OpenAI) (Arxiv) [GPT-1] Improving Language Understanding by Generative Pre-Training.pdf at main · guyulongcs/Awesome-LLM-papers GitHub (user repository guyulongcs/Awesome-LLM-papers)

    “2018 (OpenAI) (Arxiv) [GPT-1] Improving Language Understanding by Generative Pre-Training.pdf”

Reasoning

OpenAI publicly announced GPT-2 in February 2019, but said it was "not releasing the trained model," so that disclosure was partial (E1). GPT-3 was described in a paper accepted at NeurIPS 2020 (E2), and OpenAI announced GPT-4 in March 2023 (E3). For GPT-1, the only evidence is a third-party reading list that files it as a 2018 OpenAI arXiv paper (E4); that list is weak support. Together this indicates that GPT-2, GPT-3 and GPT-4 were discussed publicly, with GPT-2 disclosed only partly, and gives weaker support for GPT-1, which the criteria grade as mostly true.

Cite this claim

Sam Altman, “OpenAI chose to publicly discuss GPT-1, 2, 3 and 4 rather than build in secret until GPT-5.” (said 18 March 2024). Verdict: mostly true. Reliability API, claim c_25512c30dd4c, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_25512c30dd4c

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 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. 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.

  4. 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.

  5. 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.

All of them

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