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Tiny Recursion Model (7M) hits 45% on ARC-AGI-1 — small model, big reasoning #AI #ARCAGI
A Tiny Recursion Model (TRM)—about 7M parameters and trained from scratch—uses a recursive loop to improve answers over a few steps and posts ~45% on ARC-AGI-1 and ~8% on ARC-AGI-2. It updates a latent state multiple times, then updates its answer and repeats—no hierarchy, no fixed-point math, just a lightweight reasoning cycle. Source ...
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