Donald Trump's State of the Union address, sitting at one hour and 47 minutes, has been a main subject for late night hosts this week, from Stephen Colbert to Jimmy Kimmel.
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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12月20日，“京津冀协同发展背景下的养老协同模式创新”圆桌论坛。，这一点在safew官方版本下载中也有详细论述
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