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机器人目前的主要应用场景仍集中在展示类与表演类场景,它更多承担“吸引眼球”的功能,而非生产效率提升的工具。商场开业可以用一次,品牌发布会可以用一次,但这类需求具备强烈的周期性和一次性特征。
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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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