Bidoof started as a joke. Then it became a legend.
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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and many operating systems implement special circuitry to extend the stack
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Известный юморист и телеведущий, звезда шоу Comedy Club на канале ТНТ Вадим Галыгин станет отцом в четвертый раз. О беременности сообщила его жена Ольга на странице в соцсети Instagram (запрещена в России; принадлежит компании Meta, признанной экстремистской организацией и запрещенной в РФ).
然而，按以往相关要求，包子铺的现制现售区域和生鲜肉销售场所要隔10米以上，或有可密闭遮盖的防护罩等防护措施。但这家冷鲜肉店面积有限，“螺蛳壳”里难“做道场”。，更多细节参见同城约会