RL Researcher Csaba Szepesvári Questions Whether AI's Formalized Math Proofs Are Faithful
CsabaSzepesvari · x · 2026-09-07
Reinforcement learning researcher Csaba Szepesvári commented on an AI-assisted (Anthropic-related) mathematical proof: silently adding axioms could be a hazard, though presumably checked. His bigger concern—one shared by the math community—is whether the formalization backing the proof is faithful to what mathematicians actually mean.
Interlocutor mnaeraxr noted the statement in question is trivial to verify, but acknowledged a proof could bypass the kernel or exploit a bug; a comparator could help guard against that. The exchange touches the core trust problem of formal AI proofs: even a verified formalization may drift from the original intent.
Related event: Claude's FLT Proof Ignites Math Community Scooping-Ethics Debate(26 posts)→
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