Hong: Lean and Rust yield superior reinforcement learning convergence over Python
Carina Hong · Scaling Past Informal AI - Carina Hong, Axiom Math · Jun 3, 2026 · at 30:00
Carina Hong, CEO of Axiom Math, explains the technical advantages of formal verification and strong typing over informal math for training code-generating AI models.
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“If you want proof to be informal math, It's very annoying, because then that's, like, just makes objective function. Your code is something like Python, your proof is, say, natural language, math proof. You will not have very strong RL kind of performance, right? But if you have proof as Lean, and you have, you know, code, you can choose Rust, which is a strongly typed language. It's more convergent. So you're gonna have much better performance.”
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