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.
第一件事，是2026年1月，中科第五纪获得宇树科技“核心生态合作伙伴”称号。在To B及工业场景，中科第五纪目前作为宇树机器人的“大脑”模型供应商。，这一点在爱思助手下载最新版本中也有详细论述
Unreal Native AOT Interop。搜狗输入法2026对此有专业解读
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针对网络上的两处核心误解，我们做出如下说明：