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AI Agents Formalize Proof, May Refute Complexity Conjecture

Anthropic says an internal research version of Claude, without human input, found a deterministic algorithm solving 3-SAT in subexponential time, which would refute the widely believed Exponential Time Hypothesis. The result, including a Lean 4 formal proof, landed within hours of a similar claim from OpenAI. Separately, Axiom Math used dozens of AI agents over 24 days to produce the first complete computer-checked proof of the Classification of Finite Simple Groups, a human proof that spans roughly 15,000 pages.

Why it matters

๐Ÿ’ป Developer ยท Lean formalization at this scale, 43 million lines of generated proof code, shows agent swarms can tackle formal verification tasks that used to be purely academic grind work.

๐Ÿ“ฆ Product ยท Not product-ready, but a signal that AI-assisted formal methods could eventually speed up verification work in compilers, crypto, and safety-critical software.

๐ŸŽจ Design ยท Not directly relevant, though it's a preview of how AI tooling could reshape workflows in rigorous, proof-heavy technical fields.

๐Ÿ“ˆ Business ยท Two frontier labs independently claiming major math results within hours of each other says more about competitive pressure between Anthropic and OpenAI than about near-term commercial impact.

๐Ÿค” Just Curious ยท AI systems just helped crack two famously hard math problems: one so long humans could barely check it, and one that could upend a 50-year-old assumption about computer science.

Sources: Anthropic's Claude Refutes the Exponential Time Hypothesis, With a Lean Proof, Formalizing the Enormous Theorem