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。
I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
，这一点在雷电模拟器官方版本下载中也有详细论述
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