The Information Machine
Following·Day 2·2 sources

Axiom Formalizes Largest Math Proof in Lean in 24 Days

The gist

Computer-verifying the Classification of Finite Simple Groups, a proof with over 100 authors across generations that no single person had read in full, removes a long-standing gap in formally verified mathematics. The Resolution project shows a similar agentic approach applied to a proof relevant to AI alignment research.

The full picture

Axiom used swarms of AI agents guided by mathematicians to auto-formalize the Classification of Finite Simple Groups, a proof spanning approximately 15,000 pages and 500 papers, into roughly 40 million lines of Lean code in 24 days. Axiom said earlier this year getting its prover to write a correct 10,000-line Lean proof took weeks; this task was about 4,000 times larger. Axiom attributes the capability jump to simultaneous improvements across models, its agent harness, and infrastructure. Separately, a company called Resolution (formerly Sequent) used a single-researcher-orchestrated agent system to formalize Hironaka's resolution of singularities in Lean, producing 600,000 lines of formal proof at a cost of roughly $135,000 in tokens over about one week, consuming approximately 100 billion input tokens and 300 million output tokens. Resolution said the formalized library is already being used to extend singular learning theory and understand model generalization.

How it developed
27 October 2026

Axiom announced a complete Lean auto-formalization of the Classification of Finite Simple Groups in 24 days, producing roughly 40 million lines of Lean code.

26 October 2026

Import AI reported Resolution's formalization of Hironaka's resolution of singularities in Lean for ~$135,000 over one week.

Sources
The daily email

Want this in your inbox?

I send one email each morning with the stories that moved. If you would rather just read here, that works too.

Subscribe free