FreeLLMAnthropicのClaudeは123のオープンソースライブラリ向けに自律的に形式的証明を生成します。
Claudeは約180百万行の証明コードを生成し、数百件のバグを発見、厳格な条件下でソフトウェアを検証しました。
Anthropic and verification partner Theorem used Claude to create formal proofs of correctness for existing code.
In a few weeks the model generated roughly 180 million lines of mathematical proof code covering 123 open‑source libraries from Google's OSS‑Fuzz project.
Claude translated crash tests into formal problems, analyzed compiled machine code and produced proofs that were automatically checked by Rocq with minimal human review.
During proof generation Claude identified and fixed hundreds of bugs, including security issues in a PDF reader and a decade‑old logical error.
The proofs apply only under strict limits: a specific processor architecture, single‑threaded execution and inputs under 64 MB, and each proof consumes hundreds of millions of tokens.
あなたにとっての意味
For developers, Claude’s ability to auto‑generate formal verification could reduce manual review time and catch bugs missed by testing, though the high compute cost and narrow applicability limit immediate adoption. For users of free or locally run models, the result highlights a gap: current free models lack the scale and token budget to perform such extensive proof generation, underscoring the advantage of large, cloud‑based systems for advanced verification tasks.
ソース
- Anthropic's Claude now writes code and proves it safe automatically, The Decoder, 23 Oct 2026
上記のソースから自動的に生成し、当社のコードでチェックしました：すべての数値と名前が含まれ、文がソースをコピーしてはいけません。間違いを見つけましたか？報告する。
今日無料で使えるAIはどれですか？
すべての無料AIモデルをブラインドヒューマン投票で順位付けし、あなたのGPUで必要なメモリと速度を示します。