陆逸轩：录音时，我的状态始终是尽可能录好每一条。但在录完后，进行取舍时，当然会意识到有些版本更好，有些相对弱一些，最后会把最理想的部分组合在一起。这本身是一种个人判断，我会自己作这个决定，而不会交由别人来替我判断哪一个版本更好。
Amanda Blacklock is president of the Selkirk Musical Theatre Group
。业内人士推荐同城约会作为进阶阅读
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.
«Безумие, что эта война продолжается», — посетовал Трамп.