Android 16 with One UI 8.5
更值得玩味的是，当完美日记试图告别过去重营销、轻研发的模式，转向强调产品、收缩营销投入时，非但没有迎来口碑与销量的反转，反而在市场中越发边缘化。
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https://feedx.site。关于这个话题，safew官方版本下载提供了深入分析
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.
10 May 2025ShareSave