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)
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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.”
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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”
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E3 GPT-2 - Wikipedia Wikipedia · 8 December 2020
“GPT-2 was first announced on 14 February 2019.”
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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
More factual claims by Sam Altman
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Mostly true
“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.
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Resolved true
“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.”
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Mixed
“They now hallucinate a little bit.”
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Mixed
“They don’t do anything unless you ask, right?”
AI models such as ChatGPT do not do anything unless a user asks them to.
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Mostly true
“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.”
Verdicts are made automatically; how verdicts are made.