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.)
Bank details, sex and naked people who seem unaware they are being recorded. Behind Meta’s new smart glasses lies a hidden workforce, uneasy about peering into the most intimate parts of other people’s lives.
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