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魅族接洽第三方硬件合作，目标方或为酷比魔方
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上合组织是世界上人口最多、幅员最广的区域合作组织，覆盖27个国家，约34亿人口。代谢性疾病是21世纪人类面临的最严重健康挑战之一。有数据显示，全球每2名代谢性疾病患者中就有1名来自上合组织相关国家。与代谢性疾病，包括糖尿病、肥胖等疾病相关的死亡占全部死亡的70%以上，已成为区域内非传染性疾病的主要死因。
Even though my dataset is very small, I think it's sufficient to conclude that LLMs can't consistently reason. Also their reasoning performance gets worse as the SAT instance grows, which may be due to the context window becoming too large as the model reasoning progresses, and it gets harder to remember original clauses at the top of the context. A friend of mine made an observation that how complex SAT instances are similar to working with many rules in large codebases. As we add more rules, it gets more and more likely for LLMs to forget some of them, which can be insidious. Of course that doesn't mean LLMs are useless. They can be definitely useful without being able to reason, but due to lack of reasoning, we can't just write down the rules and expect that LLMs will always follow them. For critical requirements there needs to be some other process in place to ensure that these are met.