Cohere Labs Talk: Making AI Math Reasoning Machine-Checkable with Lean
Cohere_Labs · x · 2026-10-02
Cohere Labs' ML Math Open Science community hosts Robert Joseph George on October 5th for a talk on building trustworthy AI for mathematics and science.
Key topics:
- Introduction to Lean and formal theorem proving, making mathematical and computational reasoning machine-checkable;
- TorchLean: verified machine learning in Lean, covering neural-network execution, automatic differentiation, floating-point semantics, and NN verification;
- FloatLib: formally verified floating-point arithmetic;
- Recent progress on hard problems like the Navier–Stokes and Euler equations, including singularity formation and stability in the 3D Euler equations.
The talk explores how AI, numerical computation, and formal verification can jointly serve as tools for mathematical discovery, producing outputs that can be independently checked rather than simply trusted.
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