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UT Austin Finds Fractal Chaos Explains Why AI Reasoning Costs Spike 10x

This story is from 2026-09-08. It is preserved in the archive; the latest stories are on the live feed.

A new paper shows recurrent-depth reasoning models behave like chaotic dynamical systems, where hard problems create fractal basins that trap thinking near wrong answers.

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  1. 2026-09-08 19:01 · AlphaSignal
    UT Austin Finds Fractal Chaos Explains Why AI Reasoning Costs Spike 10x

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