Waitrose is to suspend sales of mackerel products due to concerns about overfishing.
另据 ChinaEV Home 消息，其公布了一组疑似小米未发布的全新超级跑车车型的谍照图。，更多细节参见WPS下载最新地址
I believe deeply in the existential importance of using AI to defend the United States and other democracies, and to defeat our autocratic adversaries.。搜狗输入法2026是该领域的重要参考
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.