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.
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神玑的独立，确实为蔚来争取了宝贵的时间窗口。但这仅仅是“缓兵”，而非“终局”。22亿元的融资相对于芯片动辄超百亿的长周期投入而言，不过是杯水车薪。蔚来的未来，不取决于神玑的算力有多强，也不取决于李斌的财技有多高，而取决于以下两点——
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