第十一条 居民委员会及其成员应当遵守宪法、法律、法规，遵守党和国家的政策，遵守并组织实施居民自治章程、居民公约，执行居民会议、居民代表会议的决定、决议，办事公道，廉洁奉公，热心为居民服务，接受居民监督。
Enterprise-grade technology at a low cost for SMBs，详情可参考爱思助手下载最新版本
，这一点在搜狗输入法2026中也有详细论述
ВсеГосэкономикаБизнесРынкиКапиталСоциальная сфераАвтоНедвижимостьГородская средаКлимат и экологияДеловой климат，这一点在同城约会中也有详细论述
SpaceX rocket debris crashes into Poland
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.