This is the fourth episode but it's only been six minutes into the show because each episode is just 120 seconds. And rather than being a cliffhanger, this is how the episode opens.
昨天，宇树科技正式发布新一代四足机器人 Unitree As2，定位行业级应用，主打更高动力性能、更长续航与更强环境适应性。。im钱包官方下载对此有专业解读
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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.，更多细节参见Line官方版本下载