- Claude generated ~180 million lines of proof code in weeks to verify 123 open-source libraries
- Formal verification shifts from expert-heavy processes (e.g., seL4 took 20 person-years) to AI automation
- Theorem's roadmap targets extending verification to critical components like glibc and OpenSSL
AI CURATED HOT STORY · 10/21/2026
Anthropic Uses Claude to Achieve Large-Scale Formal Code Verification
Anthropic's Frontier Red Team, in collaboration with Theorem Labs, achieved a breakthrough by using Claude to perform large-scale formal verification on over 100 real-world open-source libraries within weeks. This marks the first time AI has extended mathematically rigorous security proofs from niche, expert-driven projects to industrial scale, generating approximately 180 million lines of proof code.
Cross-verified reports indicate the system successfully proved safety properties at the RISC-V assembly level for libraries in Google's OSS-Fuzz. Compared to traditional efforts like seL4, which require decades of human labor, this AI-driven automation drastically lowers barriers. Additionally, Anthropic proposed an attack surface reduction strategy using Claude to automatically remove unnecessary reachable code, offering a more scalable defense against zero-day vulnerabilities than patching individual bugs.
This development establishes a new paradigm for building software with provable security. With plans to extend verification to critical infrastructure like glibc and OpenSSL, this approach addresses trust issues in AI-generated code and could reshape global software supply chain standards by making formal verification accessible to developers.
Hourly heat curve
168 fully observed hoursThe line compares only sources observed throughout; gap hours are interpolated to keep the trend continuous.
Coverage timeline
Total 5 reports · Latest first- The DecoderT2·85 pts
- 新智元 (微信公众号)T2·88 pts
- Claude generated 180 million lines of Rocq proof code, verifying 239 test entry points across 123 open-source libraries.
- The AI uncovered hidden vulnerabilities and real x86 hardware defects that were missed by trillions of traditional stress tests.
- Formal verification proofs for the first 25 libraries have been open-sourced, marking a new phase in AI-assisted software security validation.
- Hacker News AIT2·85 pts
- LLMs successfully proved security properties at the RISC-V assembly level for over 100 real-world open-source libraries
- Formal verification shifts from expert-intensive multi-year efforts to scalable AI-assisted workflows
- Demonstrates a viable path toward mathematically proven software security via AI
- Anthropic AI (@AnthropicAI)T1·68 pts
- Claude used to formally verify 100+ open-source libraries in weeks
- AI lowers barriers to formal verification beyond small codebases
- Collaboration with Theorem Labs proves feasibility of automated security property verification
- Hacker News AIT2·68 pts
- AI can be used not just to find vulnerabilities but to automatically map and reduce code attack surfaces
- Reducing code reachability is more effective at mitigating unknown and zero-day risks than fixing individual known bugs
- The approach aims to improve security of existing deployments at low cost, encouraging developer adoption