{"slug":"introducing-alphaproof-code-a-breakthrough-in-ve-9e854f12","url":"https://silinex.xyz/wire/introducing-alphaproof-code-a-breakthrough-in-ve-9e854f12","json_url":"https://silinex.xyz/wire/introducing-alphaproof-code-a-breakthrough-in-ve-9e854f12.json","md_url":"https://silinex.xyz/wire/introducing-alphaproof-code-a-breakthrough-in-ve-9e854f12.md","headline":"Introducing AlphaProof Code: a breakthrough in verifying complex software at depth","headline_zh":"隆重推出 AlphaProof Code：在深度验证复杂软件方面取得突破","title":"Introducing AlphaProof Code: a breakthrough in verifying complex software at depth","summary":"According to public reporting via Google DeepMind Blog, alphaProof Code agents wrote three million lines of proofs in Lean to verify Signal’s core encryption.","summary_zh":"据Google DeepMind博客的公开报道，AlphaProof Code智能体用Lean编写了300万行证明，以验证Signal的核心加密。","date_published":"2026-11-10T12:02:28.000+00:00","date_modified":"2026-11-12T06:24:59.544+00:00","author":{"type":"Organization","name":"Google DeepMind Blog","url":"https://deepmind.google/blog/introducing-alphaproof-code/"},"publisher":{"name":"Silicon Nexus","url":"https://silinex.xyz/"},"category":"ai","language":"en","source_url":"https://deepmind.google/blog/introducing-alphaproof-code/","source_name":"Google DeepMind Blog","key_facts":["alphaProof Code agents wrote three million lines of proofs in Lean to verify Signal’s core encryption.","This breakthrough discovery was made using AlphaProof Code , a novel agentic framework for formal verification at unprecedented depth tha…","Formal verification—mathematically proving code runs correctly without flaws—is the highest standard of security assurance; however, it i…","Our work marks the first time AI has been used to formally verify a widely deployed cryptographic protocol at this depth."],"key_facts_zh":["alphaProof Code 智能体用 Lean 编写了三百万行证明，以验证 Signal 的核心加密。","这一突破性发现借助 AlphaProof Code 完成，这是一个新颖的智能体框架，能够以前所未有的深度进行形式化验证……","形式化验证——用数学方法证明代码运行正确、没有缺陷——是安全保证的最高标准；然而，它……","我们的工作标志着 AI 首次被用于如此深入地形式化验证一个广泛部署的加密协议。"],"body_md":"## Wire brief\n\nAccording to public reporting via Google DeepMind Blog, alphaProof Code agents wrote three million lines of proofs in Lean to verify Signal’s core encryption.\n\nIn related context, this breakthrough discovery was made using AlphaProof Code , a novel agentic framework for formal verification at unprecedented depth that combines human expertise with AI agents. Formal verification—mathematically proving code runs correctly without flaws—is the highest standard of security assurance; however, it is difficult and often labor-intensive. Our work marks the first time AI has been used to formally verify a widely deployed cryptographic protocol at this depth.\n\nReporting also notes that it's also the first time the implementation of a widely deployed protocol like this has been formally verified by any method, with or without AI. How we verified Signal AlphaProof Code is a multi-LLM agentic framework that splits the work of formal verification the way a research team would: human experts work with AI to decide what to prove, and a group of AI agents does it. First, our researchers collaborated with a mix of models to translate Signal’s security goals into formal mathematical specifications, with human experts reviewing every one. From there, agents powered by Gemini Carbon did the proofs, generating over six million lines of Lean, a computer language that mathematically proves the accuracy of code.\n\nPoints still worth watching: Next, the agents audited the proof and highlighted areas that needed a second look by a human – just one percent of the codebase, a massive time savings. This Silicon News Wire item is a paraphrased brief; full wording remains on the origin page.\n\n## Source & notice\n\nThis Silicon News Wire brief paraphrases public reporting from **Google DeepMind Blog** for carbon readers and silicon citation. **It is not a verbatim full-text reprint.**\n\nRead the original: [Introducing AlphaProof Code: a breakthrough in verifying complex software at depth](https://deepmind.google/blog/introducing-alphaproof-code/)\n","body_md_zh":"## 电讯正文\n\n据Google DeepMind博客的公开报道，AlphaProof Code智能体用Lean编写了300万行证明，以验证Signal的核心加密。\n\n相关背景是，这一突破性发现借助AlphaProof Code完成。它是一个新颖的智能体框架，能够以前所未有的深度进行形式化验证，将人类专业知识与AI智能体相结合。形式化验证——用数学方法证明代码运行正确、没有缺陷——是最高标准的安全保障；然而，它难度大，且往往耗费大量人力。我们的工作标志着AI首次被用于如此深度地形式化验证一个广泛部署的加密协议。\n\n报道还指出，这也是首次通过任何方法（无论是否借助AI）对这样一个广泛部署的协议实现进行形式化验证。我们如何验证Signal：AlphaProof Code是一个多LLM智能体框架，它像研究团队那样拆分形式化验证工作：人类专家与AI协作决定要证明什么，再由一组AI智能体来完成。首先，我们的研究人员与多种模型协作，将Signal的安全目标转化为形式化数学规范，并由人类专家逐一审查。随后，由Gemini Carbon驱动的智能体完成证明，生成了超过600万行Lean代码。Lean是一种用数学方法证明代码准确性的计算机语言。\n\n仍值得关注的要点：接下来，智能体审计了证明，并标出了需要人工复核的区域——仅占代码库的百分之一，大幅节省了时间。本Silicon News Wire条目为改写摘要；完整措辞仍见原始页面。\n\n## 来源与声明\n\n本电讯由 Silicon News Wire 依据 **Google DeepMind Blog** 公开报道做要点改写与润色，便于碳基阅读与硅基引用；**不是原文全文转载**。\n\n阅读原文：[隆重推出 AlphaProof Code：在深度验证复杂软件方面取得突破](https://deepmind.google/blog/introducing-alphaproof-code/)\n","observations":{"human":8,"bot":5,"crawlers":[{"crawlerId":"AhrefsBot","hits":3,"lastSeenAt":"2026-11-11T04:38:19.182Z"},{"crawlerId":"ClaudeBot","hits":2,"lastSeenAt":"2026-11-12T12:50:43.248Z"}],"last_seen_at":"2026-11-12T12:50:43.248Z","note":"Counts are request logs classified by User-Agent. User-Agents can be spoofed. This is not proof of search-engine or LLM inclusion."}}