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Altman says OpenAI's unreleased models surpass public models in mathematical research capability

1 reports1 story updatesUpdated Oct 23 17:06

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On October 23, 2026, in a 45-minute conversation, Sam Altman said that OpenAI's internal, not-yet-public models have reached a level in some mathematical research tasks that existing public models find hard to match. In the same conversation, he also predicted that a first candidate treatment for a major disease would be found in about two years; and said that programmers have not lost their jobs because of AI, but are instead busier, creating greater value and even earning more, because the world's demand for software far exceeds expectations, and he himself has not looked at a line of code for about a year. Speaking of the next-generation personal AI assistant, he believes model intelligence is already sufficient; what is lacking is product, compute, and new hardware that can continuously perceive the real environment, and said Dot saves him about an hour every day. Currently this claim comes from a single report, with no official OpenAI material or other independent sources cross-verifying it.

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Altman: OpenAI's internal models surpass public models in mathematical research capability; programmers are not replaced by AI but busier and earning more

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  1. Altman says OpenAI's unreleased models surpass public models in mathematical research capability

    Source:36Kr · AI

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Oct 23

  1. 36Kr · AI

    Altman: OpenAI's internal models surpass public models in mathematical research capability; programmers are not replaced by AI but busier and earning more

    In a 45-minute conversation, Sam Altman said that OpenAI's not-yet-public models have reached a level in some mathematical research tasks that existing public models find hard to match, and he expects to find the first candidate treatment for a major disease in about two years. He said programmers have not lost their jobs because of AI; instead they are busier, creating greater value and even earning more, because the world's demand for software far exceeds expectations; he himself has not looked at a line of code for about a year. Speaking of the next-generation personal AI assistant, he believes model intelligence is already sufficient; what is lacking is product, compute, and new hardware that can continuously perceive the real environment, and he said Dot saves him about an hour every day.

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