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中国内地八大民营酒店集团旗下酒店总量的缩减，或许仅是行业调整的冰山一角。放眼整体市场，2025年中国酒店市场新开业中档及以上酒店10157家，新增客房规模91.6万间，较2024年减少约3.8%。在经历前两年的集中释放后，新项目推进速度明显放缓，行业开发逻辑正由追求规模扩张转向更加关注投资回报周期与长期经营稳定性。
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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.
Republicans attack ‘woke’ Netflix — and ignore YouTube