Matthew Green comments that AI systems becoming capable at cryptanalysis during the transition to post-quantum algorithms could either strengthen confidence in new standards or expose weaknesses. Green notes this timing is fortuitous since the field is evaluating novel cryptographic problems to replace RSA and elliptic-curve methods. If AI cryptanalysis tools prove robust, the cryptography literature and standardization process could benefit from more thorough public scrutiny.
Anthropic researchers used Claude Mythos Preview to discover two cryptographic flaws: an improved attack on HAWK, a post-quantum digital signature candidate, which halves its effective key strength, and a novel attack on reduced-round AES that speeds up previous best attacks by 200-800 times. Each discovery cost approximately $100,000 in API costs and required one researcher working with Claude for 60 hours on HAWK and a scaffolded autonomous process for AES. Neither finding affects production systems today, but they demonstrate AI's potential to stress-test cryptographic algorithms before real-world deployment and suggest cryptographic designers should routinely use powerful AI models during standards development.
Anthropic released Claude Tag, an AI system that helps engineers with incident response and bug triage by automatically analyzing issues, finding root causes, writing fixes, and managing code review workflows. The system is now used internally and writes 65% of the product team's code, including portions of itself. This reduces manual work for developers and accelerates the development cycle from issue detection to deployment and monitoring.
Anthropic's Claude Mythos Preview AI model discovered vulnerabilities in a simplified Advanced Encryption Standard algorithm and independently designed an attack that runs 200 to 1,000 times faster than previous human-developed methods. The model worked on the problem autonomously for approximately one week before producing its solution. This demonstrates AI's capacity to identify and exploit cryptographic weaknesses, raising questions about AI-assisted cryptanalysis and the security implications for encryption research.
Simon Willison documented how to connect custom MCP (Model Context Protocol) servers to Claude and ChatGPT's web interfaces. The setup involves multiple steps that are not immediately obvious from the standard chat UIs. Users can now integrate custom MCP servers with both platforms, enabling expanded functionality beyond the default capabilities.
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