ВСУ запустили «Фламинго» вглубь России. В Москве заявили, что это британские ракеты с украинскими шильдиками16:45
International business
。业内人士推荐快连下载安装作为进阶阅读
Senate Democratic leader Chuck Schumer of New York said his caucus in the coming days would also review unredacted versions of the Epstein case files at a Department of Justice office. Schumer, who demanded that the department release all of the files and preserve all materials, said they will “pull on every thread” until they “reveal this massive cover-up.”，更多细节参见heLLoword翻译官方下载
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.