03版 - “我们找到了一条通往富裕的道路”

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如果你希望自己手机的 AI 助手不那么具有「侵入性」,同时又不欠缺基础功能的话,那 S26 系列的 Bixby 还真是一个值得考虑的选项。

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.,这一点在Line官方版本下载中也有详细论述

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绝对贫困历史性消除,为什么要设立5年过渡期?

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