ВСУ запустили «Фламинго» вглубь России. В Москве заявили, что это британские ракеты с украинскими шильдиками16:45
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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.
中端机是用户最多的群体，在我国智能手机市场近10亿用户中，有5亿用户使用的都是价位段在2000元到4000元范围的中端机，其销量占比一度占据智能手机市场份额的一半还多。而近两年，中端机机海扎堆，同质化比较严重，再加上高端机型价格下探，中端市场的竞争异常惨烈，如今存储芯片拉动成本上涨，无疑让情况雪上加霜。