Progressive disclosure for mathematical proofs: The parallel with cybersecurity (blog.kolen.dev)

Anthropic's Claude Mythos Preview has significantly advanced the capabilities of AI in both cybersecurity and mathematics, with autonomous agents successfully identifying zero-day vulnerabilities and contributing to major mathematical breakthroughs. By April 2026, Claude Mythos had discovered vulnerabilities in all major operating systems and browsers, reporting over 2,300 vulnerabilities to open-source projects. Simultaneously, its mathematical counterpart, Claude Fable 5, reported a counterexample to the Jacobian conjecture and made notable progress on the Navier-Stokes Millennium Prize Problem, showcasing AI's potential to tackle complex problems across disciplines. This convergence of AI capabilities highlights critical implications for both fields. In cybersecurity, the speed and volume of vulnerability reporting put pressure on maintainers, who are often overwhelmed by the influx of findings. In mathematics, the urgency to publish can compromise the quality of academic work and understanding, as illustrated by mathematicians racing to publish results before competing claims. Proposals for a coordinated disclosure model, inspired by cybersecurity practices, could help mitigate these issues in mathematics by establishing a system for recording and timestamping research contributions. This would promote collaboration and provide a clearer attribution of ideas, ultimately enhancing the integrity and clarity of mathematical advancements.