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.
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根据日常观察，Desktop.ini 主要常见于用户目录下几个系统预置的文件夹中，如桌面、下载、文档等。这是因为 Windows 为这些特殊文件夹定制了图标和本地化名称，必须通过 Desktop.ini 记录。。关于这个话题，同城约会提供了深入分析
He was appointed chief executive of Rimowa in January 2021, succeeding Alexandre Arnault, and took full responsibility for the brand's global operations.，更多细节参见91视频
Cabinet member David Vasmer said funds were provided for the purchase of vehicles, bins and the initial delivery, but the recent government financial settlement had "failed to provide any revenue funding for a weekly food waste service".