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    Chollet Describes Two Axes of Test-Time Scaling

    Researcher notes breadth as key alongside depth for hard search problems.

    FC
    1 Source, 30d ago, first seen 30d ago

    TLDR

    François Chollet posted that test-time scaling has two axes. Depth means running agents over longer timeframes. Breadth means running a larger number of agents. He stated that most people know about the first axis, but the second is equally important for solving hard problems that require broad search. Chollet created the Keras deep learning library and the ARC-AGI benchmark. He co-founded ARC Prize and Ndea.

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    1 Source, first seen 30d ago

    Combined views

    143.6K

    1 Source, first seen 30d ago

    519 likes
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    65 comments
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    44 reposts

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    65 comments
    136 saves
    44 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @fcholletTest-time scaling has two axes: running agents over longer timeframes (depth), and running a larger number of agents (breadth). Everybody knows about the first axis, but the second one is just as important when solving hard problems that require broad search.

    1 Source

    @fcholletTest-time scaling has two axes: running agents over longer timeframes (depth), and running a larger number of agents (breadth). Everybody knows about the first axis, but the second one is just as important when solving hard problems that require broad search.