Researchers find reasoning models produce fractals when solving hard problems like ARC-AGI
ShahabBakht · x · 2026-09-24
wgilpin0's group discovered that reasoning models produce fractal structures when asked to solve hard problems. Using nonlinear dynamics, they probe the thinking processes of recurrent-depth models on Sudoku, mathematics, and even ARC-AGI.
Quoting commenter notes the work echoes Jascha Sohl-Dickstein's mini exploration paper on chaotic frontiers in neural networks; they are working on "chaotic training" methods and propose a workshop on the theme.
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