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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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BSA調查（BSA Survey）被視為民調產業的「黃金標準」，因為它歷史悠久，且使用隨機機率抽樣——意味英國所有人都有相同機會被抽中。