François Chollet Argues Autonomous Robotics Needs Causality and Discrete Reasoning

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François Chollet argued that autoregressive sampling alone cannot solve real-world physical tasks and that achieving autonomous robotics requires engineering causality and discrete reasoning into the systems. In a post on X, he said the physical world is unforgiving of hallucinations or approximate pattern matching. His argument identifies those limitations as obstacles to robots acting autonomously in the real world.

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Latest development10/14 22:35 (UTC+8)

François Chollet Says Autonomous Robotics Requires Causality and Discrete Reasoning François Chollet · X

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François Chollet · X
François Chollet Says Autonomous Robotics Requires Causality and Discrete Reasoning
You can't solve real-world physical tasks through autoregressive sampling alone. The physical world is entirely unforgiving to hallucination or approximate pattern matching. If we want actual autonomous robotics we have to engineer causality and discrete reasoning back into the https://t.co/UJtL2t0tQ2

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