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    Nathan Labenz on FrontierMath Saturation and AI Paths

    Nathan Labenz shares his latest read on AI benchmarks and physical tasks.

    NL
    1 Source, 26d ago, first seen 26d ago

    TLDR

    Nathan Labenz posted that Astra has saturated FrontierMath tier 4 with a third of the year left. His start-of-year forecast called for mid-60s completion by December, which matched the crowd view. Labenz now states that any verifiable domain has a quick path to at least weak superintelligence. The same post asks whether 53 percent success rates in physical intelligence tasks can turn into useful work. These comments appeared in a broadcast linked from his account.

    Combined views

    542

    1 Source, first seen 26d ago

    Combined views

    542

    1 Source, first seen 26d ago

    3 likes
    3 likes

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    1 Source

    @labenzFrontierMath tier 4: Astra saturated it, a third of the year left. Nathan's start-of-year forecast was mid-60s by December — matching the crowd. His read on AI:AM now: any verifiable domain has a quick path to at least weak superintelligence. https://x.com/i/broadcasts/1yxBePbdAVaJN?t=217

    1 Source

    @labenzFrontierMath tier 4: Astra saturated it, a third of the year left. Nathan's start-of-year forecast was mid-60s by December — matching the crowd. His read on AI:AM now: any verifiable domain has a quick path to at least weak superintelligence. https://x.com/i/broadcasts/1yxBePbdAVaJN?t=217