巴基斯坦三军新闻局局长乔杜里27日在新闻发布会上说，阿富汗方面从其境内向巴基斯坦开伯尔-普什图省的53个地点发动袭击。
榮鼎集團的中歐關係專家巴爾金向BBC中文強調，柏林對於德中關係的未來走向存在深切的擔憂。巴爾金認為，原因在於中國已成為德國在曾經主導的工業領域中的強勁競爭對手。「德國每月失去1萬個製造業崗位，而與中國的競爭是主要原因之一。」
。关于这个话题，搜狗输入法下载提供了深入分析
You can choose different sounds from Dreamie's library for each category. Some options come with ambient lighting effects, too. There's a decent selection of soundscapes, from the dramatic Aurora Borealis and the sounds of storms and rivers to different "colors" of noise.
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.