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好吃，不等于好种。这株看似寻常的禾本科作物，生育期长达220天至270天，从秋种到夏收，可谓“种在冰上、收在火上”。在山东省沂南县张庄镇前汉沿村，去年10月底以来，种粮大户刘增升没少操心：播前把800多亩地深翻了一遍，又拌了种子，播后镇压了一次，给弱苗喷施叶面肥……一直到开春浇下返青水，眼看苗情转好，他才宽下心。，更多细节参见谷歌浏览器【最新下载地址】
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.，更多细节参见搜狗输入法2026
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