Bengio Paper Raises Recursive Reasoning Limits as Parallel Trajectories Beat Serial Reasoning

Bengio新论文刷新递归推理上限，并行轨迹碾压串行推理

Yoshua Bengio’s team introduced GRAM, a generative recursive reasoning model that samples multiple latent trajectories; on Sudoku-Extreme, GRAM reached 97.0% accuracy with 16 recursive steps and 20 parallel samples, exceeding TRM’s 90.5% result at 320 serial recursive steps.

Why it matters: HKR-H/K/R all pass: the hook is parallel recursion beating long serial recursion, with concrete GRAM numbers. Importance stays in 78–84 because the evidence is benchmark-centered, not a major model or product release.