ClaimsSam Altman

“Unsupervised language model that can do many tasks:”

Sam Altman, on X 14 February 2019 Post by @sama on X, 2019-02-14 (X)

Factual AI capabilities

OpenAI has produced an unsupervised language model that can do many tasks.

Resolved true The record shows it happened or was so.

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

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

What would count as true or false

True: as of 2019-02-14, OpenAI had produced a language model trained without task-specific supervision (unsupervised or self-supervised pretraining on text) and showed it performing many different tasks, such as GPT-2, announced 14 February 2019 with zero-shot results on several tasks. Mostly true: such a model existed and did several tasks, but a minor detail was off (e.g. only a smaller version was released at that point). Mixed: the model existed but showed results on only a few tasks, or its training was substantially supervised. Mostly false: OpenAI had only a model that needed task-specific fine-tuning for each task, presented as doing many tasks unaided. False: no such OpenAI model existed as of that date.

Set before the research began.

Evidence (4)

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

    “We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization—all without task-specific training.”
  2. E2 Better language models and their implications - OpenAI OpenAI · 14 February 2019

    “On other language tasks like question answering, reading comprehension, summarization, and translation, we are able to get surprising results without any fine-tuning of our models, simply by prompting the trained model in the right way”
  3. E3 GPT-2 - Wikipedia Wikipedia · 8 December 2020

    “GPT-2 was first announced on 14 February 2019.”
  4. E4 GPT-2 - Wikipedia Wikipedia · 8 December 2020

    “Despite this, GPT-2 achieved 5 BLEU on the WMT-14 English-to-French test set (slightly below the score of a translation via word-for-word substitution).”

Reasoning

OpenAI's GPT-2 announcement of 14 February 2019 describes a large-scale unsupervised language model. It says the model does reading comprehension, machine translation, question answering and summarization without task-specific training (E1), and that it got these results without fine-tuning, just by prompting (E2). Wikipedia, an independent source, confirms GPT-2 was announced on 14 February 2019, the date of the claim (E3). Wikipedia also notes that GPT-2's translation was weak (E4), but the claim is only that the model can do many tasks, not that it does them well, and the criteria's example for "true" describes GPT-2 exactly. The evidence shows that OpenAI had trained an unsupervised language model that performed several tasks without task-specific training [E1][E2]; no evidence item addresses which versions of the model were released.

Cite this claim

Sam Altman, “OpenAI has produced an unsupervised language model that can do many tasks.” (said 14 February 2019). Verdict: resolved true. Reliability API, claim c_4b6c10c97e0d, method 0.1.0+c876030c, dataset release v1.1.2. https://epistacklabs.com/claims/c_4b6c10c97e0d

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.