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    The prospect of AI eventually outmatching top human experts in every computer-based field

    The post cites Schulman on models’ strengths in code and math, but suggests 3D and spatial work such as mechanical engineering may take longer.

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    TLDR

    A September 12, 2026 post predicts AI will eventually dominate top human experts across every computer-based field, calling a three- or four-year timeline a serious possibility. It attributes to Schulman the view that this isn’t necessarily among AI’s hardest problems because much computer-based work involves code and math, where models are already strong. The author suggests 3D and spatial work could take longer, while expressing optimism about World Labs’ progress in those areas.

    Combined views

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    3 Sources, first seen 19d ago

    Combined views

    21.5K

    3 Sources, first seen 19d ago

    202 likes
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    19d ago
    first seen 19d ago
    202 likes
    18 comments
    55 saves
    56 reposts

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    18 comments
    55 saves
    56 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    3 Sources

    @SciTecheraEnjoy beginning of this acceleration.👀 AI will eventually dominate top human experts across every computer-based field. “3 or 4 years” starts to feel like a serious possibility. 👀 And Schulman points out that this isn’t necessarily one of the hardest problems for AI, because so much computer-based work involves code and math, areas where models are already very strong. The bigger challenge may be 3D and spatial work, like mechanical engineering, which could take longer. But I believe startups like World Labs are already making huge progress toward 3D and spatial intelligence!
    @rohanpaul_aiSam Altman talks about exponential 3-year jump of AI in math, from grade-school math to a Millennium Prize problem in his Fortune Magazine interview with Editor-in-Chief Alyson Shontell: "3 summers ago, we were like, not even that good on grade school math. 2 summers ago, we could on the AIME, which is like a pretty good high school math competition. We could get a good to a very good score. 1 summer ago, we got an IMO gold medal, which is like the most prestigious math competition, barely. And this summer, we solved the Millennium Prize problem. And you project that forward 4 more times, and that is what I think people are worried about." ---- From "Fortune Magazine" YouTube channel, (full video link in comment)

    3 Sources

    @SciTecheraEnjoy beginning of this acceleration.👀 AI will eventually dominate top human experts across every computer-based field. “3 or 4 years” starts to feel like a serious possibility. 👀 And Schulman points out that this isn’t necessarily one of the hardest problems for AI, because so much computer-based work involves code and math, areas where models are already very strong. The bigger challenge may be 3D and spatial work, like mechanical engineering, which could take longer. But I believe startups like World Labs are already making huge progress toward 3D and spatial intelligence!
    @rohanpaul_aiSam Altman talks about exponential 3-year jump of AI in math, from grade-school math to a Millennium Prize problem in his Fortune Magazine interview with Editor-in-Chief Alyson Shontell: "3 summers ago, we were like, not even that good on grade school math. 2 summers ago, we could on the AIME, which is like a pretty good high school math competition. We could get a good to a very good score. 1 summer ago, we got an IMO gold medal, which is like the most prestigious math competition, barely. And this summer, we solved the Millennium Prize problem. And you project that forward 4 more times, and that is what I think people are worried about." ---- From "Fortune Magazine" YouTube channel, (full video link in comment)