François Chollet argues robotics needs causal reasoning beyond autoregressive sampling
Overview
François Chollet says autoregressive sampling alone cannot solve real-world physical tasks, because the physical world punishes hallucination and approximate pattern matching.
In a post on X, he argues that autonomous robotics requires engineering causality and discrete reasoning back into the loop. He also praises Aether AI's Biwei and team for work in this direction. The post is Chollet's opinion; the report does not describe a specific system, result, or benchmark.
Written by AI from the articles below · updated Oct 14, 11:06 AM ET
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François Chollet@fcholletXFrançois Chollet argues physical robotics needs causal reasoning beyond autoregressive samplingAIFrançois Chollet says autoregressive sampling alone cannot solve real-world physical tasks, because the physical world punishes hallucination and approximate pattern matching. He says autonomous robotics requires engineering causality and discrete reasoning back into the loop, and praises Aether AI's Biwei and team for this work.
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