korrents

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In verifiable domains model capability scaling should remain unbounded, because the space of enumerable patterns is infinite by construction.

Drawn from what François Chollet said

Subjectscaling laws
What this subject means

scaling laws Whether more compute keeps buying more capability, and where the curve now bends -- pre-training, post-training, test-time.

What François Chollet actually said

  1. François Chollet Creator of the Keras deep-learning library and the ARC-AGI benchmark
    In verifiable domains, model capability scaling should remain unbounded. Models will simply keep improving by "absorbing more and more of the computational universe", which is infinite by construction.

    ↗@fchollet on Xx.com

    27 Aug 2026

Added to korrents 29 Aug 2026 · How quotes work · Something wrong? Tell us

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