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Carina Hong discusses building systems for mathematical reasoning and machine-verifiable proofs. The conversation explores Lean, the scarcity of formal mathematical training data, and translating natural-language arguments into formal statements. It also examines conjecture-and-proof self-play and applications of formal verification to software and hardware.

Topics

mathematical reasoningmachine-verifiable proofsLeanmathematical training datanatural-language argumentsformal statementsconjecture-and-proof self-playformal verificationsoftware and hardware

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