Here are the clues and answers to NYT's The Mini for Thursday, Feb. 26, 2026:
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2017 年，波波在《星露谷物语》的评论区写下这句话时，从未想过它会成为自己人生的预言。2025 年初，当她研发的《桃源村日志》Demo 上线 Steam时，一位朋友翻出这条早已被遗忘的评论截图发给她。八年时光仿佛被折叠进这张图片里，那些曾经模糊的游戏梦，最终在时光的打磨下长成了一款完整的作品。
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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.
第四十条 盗窃、损坏、擅自移动使用中的航空设施，或者强行进入航空器驾驶舱的，处十日以上十五日以下拘留。。业内人士推荐搜狗输入法2026作为进阶阅读