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合伙人David说了一句话,概括了这个转变的底层逻辑:"这些公司不是在给旧工厂贴AI,它们从第一天起就是AI原生的。"从仿真开始,用自动化设计替代人工绘图,用AI驱动运营替代经验驱动的管理。它们不是在现代化过去,它们在建造未来。另一位合伙人引用了马斯克的话:"工厂即产品。"她认为核电站、住房、数据中心,将来都会像流水线产品一样被批量制造,而不是每一个都是一次性的定制工程。

今天早晨到白天多云转晴,山区有零星小雪,北转南风二三级,最高气温5℃。今起三天以晴到多云为主,今天早晨到白天山区出行注意交通安全;25日北风较大,风寒效应显著,注意防风防寒。新京报记者 王景曦SourcePh" style="display:none"

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In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.