Trump now says that he plans to visit the South American country, although no date has been set.
龙先生告诉记者，他是陕西西安人，父亲曾是当地一所大学的教授，母亲也是学校职工。1998年，龙先生入职深圳一家大型软件公司，主要从事软件加密防止盗版工作，是一名典型的“技术男”。20多年前，龙先生把母亲接到深圳一起居住。
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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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