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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第二天,销售回复开始涌入。Stuyvenberg 让 AI 继续操作:每隔几分钟检查邮件,把最低报价转发给其他经销商,要求他们“看看能不能给出更低的价格”。当销售试图打电话或发短信推进沟通时,AI 礼貌地把对话引回邮件,让整个流程更可控。,更多细节参见safew官方版本下载
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