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Rohan Paul· @rohanpaul_ai · X· · 原发布时间 AI 评分54

Meta 与 NYU 论文提出自动数学证明循环 h1

自动核验发布 · 本文由系统生成并完成证据核验,未经人工审稿。

AI 导读

h1 让模型在 Lean 检查失败后继续尝试,借助快速反馈和搜索工具推进证明,无须预设解题计划。在使用同一模型的 PutnamBench 测试中,它解出 598 题,手工设计流程 Goedel-Architect 解出 597 题;每题成本分别为 1.08 美元和 1.47 美元。

原帖引用 · 原文

@rohanpaul_ai

– https://t.co/8eRgx6Fg29

Title: "h1: A Taste of the Bitter Lesson in Automated Theorem Proving"

回复Rohan Paul@rohanpaul_ai
New Meta, NYU paper shows that a simple loop with good Lean tools and more compute matches or beats hand-built theorem-proving workflows. Systems that write math proofs in Lean, a language a computer can check, increasingly use hand-designed workflows that plan and split up problems. Their gains often come with stronger models or more compute, hiding what the workflow adds. They built h1, a loop that gives the model fast Lean feedback and search tools, and keeps it working after each failed check. It imposes no plan, only a progress summary before each new round. With the same model, h1 beat the hand-built Goedel-Architect on PutnamBench, 598 problems to 597, at $1.08 against $1.47 per problem. The interface still matters: with Opus 4.8, h1 solved 83 of 100 hard algebra problems, against 63 for Claude Code.
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来源:Rohan Paul · x.com

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