Beyond the Ergodic Wall: A Discrete Geometric Physics Sandbox for Analysing AI Scaling Limits and Complexity Collapse
This paper exposes the ergodic ceiling and thermodynamic inefficiency of current deep learning, which converges to a statistical average of historic human knowledge.
By Simon Richard DanielarXiv cs.LG
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Originally published by arXiv cs.LG on Oct 9, 2026.
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