Chollet Proposes Moving Beyond SGD Toward Discrete Program Search
August 2, 2026
Addressing deep learning limits requires either implementing active inference for test-time adaptation or transitioning from stochastic gradient descent to robust mechanisms like the Minimum Description Length principle. The latter involves shifting from curve fitting to discrete program search to solve reasoning problems.
HOW THIS AFFECTS YOU
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builderThis suggests a potential long-term shift in how reasoning-heavy models are architected.
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researcherYou should consider if your architectures rely too heavily on curve fitting versus discrete program search.