Kali HaysTechnology reporter
반려견놀이터에 ‘낚싯바늘 빵’ 던져놓은 60대…“개 짖는 소리 시끄러워”
，更多细节参见快连下载安装
Расположение сосулек служит важным диагностическим признаком. Классическое образование наледи по карнизам говорит об общем перегреве подкровельного пространства, это говорит о слабой теплоизоляции.
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.
他表示，目前机器人整体技术水平接近「10 岁小孩」，大规模应用预计最快 3—5 年可实现。