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.
尽管如此，在夜总会赚钱也比理发店容易得多，也多得多。每晚，她的任务是安静地坐在客人身边，只要一只手搭在客人腿上略表温柔，她就可以整晚发呆、不说话。只有在啤酒溢出杯子的时候，她会拿一块毛巾垫在杯子底下。只要陪客人坐上3小时，她就能赚到500块。
一夜暴裁4000人，股价飙涨25%，联创发文：AI时代不需要那么多人了。关于这个话题，搜狗输入法2026提供了深入分析
Фото: Олег Харсеев / Коммерсантъ。关于这个话题，爱思助手下载最新版本提供了深入分析
聽完我的不錯成績後，我心想：那麼，我是否有望在短短幾天內把這兩種語言中的至少一種學到不錯的水準呢？。关于这个话题，搜狗输入法2026提供了深入分析
In the clip above the host shared Clinton's statement, in which the former Secretary of State suggested the House Committee on Oversight and Government Reform "ask [Donald Trump] directly under oath about the tens of thousands of times he shows up in the Epstein files."