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.
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我国经济已由高速增长阶段转向高质量发展阶段，从“有没有”转向“好不好”。习近平总书记反复告诫，“再也不能简单以国内生产总值增长率来论英雄了”“新发展理念就是指挥棒、红绿灯”……。搜狗输入法2026对此有专业解读
FATHER MOTHER SISTER BROTHER is a collection of three vignettes, each focusing on a family reunion. While these three families aren't related to each other, each story shares similarities, some superficial. Some profound. In my review out of the New York Film Festival, I cheered, "His astoundingly stacked cast boasts Tom Waits, Adam Driver, Mayim Bialik, Charlotte Rampling, Cate Blanchett, Vicky Krieps, Sarah Greene, Indya Moore, and Luka Sabbat. Together, they construct short yet solid stories of three families in moments both mundane and pivotal, creating an absorbing portrait of love that's messy and profound." — K.P.