The alternative, push-button solvers that return a binary pass or fail with no intermediate state, gives AI nothing to learn from and no way to guide the search. Worse, proofs that rely on heuristic solvers often break when the solver updates or when developers make small changes to how they write their specifications, even when the changes are logically equivalent. You cannot build a reliable AI pipeline on a foundation that is not reproducible. (I discuss this in detail in a recent Stanford talk.)
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Lean already produces performance comparable to Haskell and OCaml. When higher performance is essential, Lean models can be translated into efficient imperative code embedded in Lean, with clean semantics and without C’s undefined behavior. We are actively working on closing the remaining gap for performance-critical code. The real comparison is not Lean versus C. It is verified code versus unverified code.