This command outputs the formula in dimacs format, which is a standard format for CNF supported by every SAT solver. This makes it possible to validate LLM decision with another program.
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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Allows you to make changes to a document without altering its formatting.
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上周，Meta超级智能实验室的马特维洛索（Mat Velloso）在短暂任职后离职。而此前，Meta长期担任首席AI科学家的杨立昆（Yann LeCun）也告别了管理一线。业界对此议论纷纷：难道扎克伯格真的给不起钱了吗？