Mark Kretschmann(@mark_k):A very interesting new approach to AI reasoning: Flow Reasoning Models. Instead of generating a solution sequentially and being stuck with earlier decisions, FRMs repeatedly refine the entire solution, allowing the model to reconsider and correct its own decisions until it converges. The results are impressive: 99.5% on Sudoku-Extreme, 100% on Zebra and 99.9% on Maze-Unique. Even more interesting, FRMs match the 98.7% solve rate of the next-best Sudoku method with 44× fewer inference FLOPs. Iterative self-refinement may be a very powerful way to scale reasoning without simply throwing enormous amounts of compute at inference.

2026.09.05 13:03

A very interesting new approach to AI reasoning: Flow Reasoning Models. Instead of generating a solution sequentially and being stuck with earlier decisions, FRMs repeatedly refine the entire solution, allowing the model to reconsider and correct its own decisions until it converges. The results are impressive: 99.5% on Sudoku-Extreme, 100% on Zebra and 99.9% on Maze-Unique. Even more interesting, FRMs match the 98.7% solve rate of the next-best Sudoku method with 44× fewer inference FLOPs. Iterative self-refinement may be a very powerful way to scale reasoning without simply throwing enormous amounts of compute at inference.

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