「我認為這提醒我們，要把握每一個機會告訴大家冷靜下來，拜託，我們不能把一切視為理所當然。」
（三）以侮辱、诽谤或者其他方式侵害英雄烈士的姓名、肖像、名誉、荣誉，损害社会公共利益的；
。safew官方下载对此有专业解读
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.
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В России ответили на имитирующие высадку на Украине учения НАТО18:04
mark candidate[n] as used。im钱包官方下载对此有专业解读