电影《夜王》的故事从这时、这里开始。故事里，东日夜总会被收购后，经理欢哥（黄子华饰）与前妻V姐（郑秀文饰）被迫合作，带领女公关团队应对财团操控的危机。新任CEO V姐强令欢哥与女公关团队转型，随着业绩渐有起色，两人发现背后财团企图关闭夜总会的阴谋，联手发起最后的反扑。
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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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