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MIT Research on the Instability of Long-Chain AI Reasoning

This MIT paper explains why telling models to “think harder” keeps failing in practice. The core argument is simple and uncomfortable: reasoning doesn’t break because models lack knowledge. It breaks because reasoning itself becomes unstable when it goes on too long. The

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