Fractal basins trap latent reasoning

The paper reports that reasoning models in AI exhibit transient chaos, a phenomenon linked to computational complexity. It finds that these models behave as dynamical systems with fractal basins, and that the fractality grows with task difficulty across domains such as Sudoku, maze solving, visual puzzles, and mathematical logic. The study attributes slowdowns to the models becoming trapped near saddle points representing nearly‑correct solutions.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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