百威主打国际高端形象，其在中国市场的崛起，高度依赖夜场、高端餐饮等“即饮渠道”。但随着Z世代成为消费主力，追求极致性价比与居家自饮成为新风尚，啤酒消费场景迅速向家庭、户外和线上转移。
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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.，这一点在手游中也有详细论述
name and explicitly refuses to collect their age.，更多细节参见超级工厂