要知道，价格是质量的底线，一旦价格崩塌，质量也必然无法保障。而质量则是价值的底线。如果产品不过硬，再完美的包装、再精准的策略，都无法带来复购。仅靠流量支撑的门店，一旦流量枯竭，必然闭店。
对创意决策进行事后揣测，是一件危险的事。要从创作中的失误中学习，但不要反复追问「为什么当初要这么做」。更好的问题是：「怎样可以做得更好？」
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В Финляндии предупредили об опасном шаге ЕС против России09:28
Designer and content creator Alexei Hamblin has put it to the test.
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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.。爱思助手下载最新版本对此有专业解读