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.
Donald Trump has spent much of his second term at war with science and scientists. He is cutting staff at institutions such as the Environmental Protection Agency (EPA) by a third, and has cancelled or frozen up to 8,000 federal research grants. This hasn’t just hurt individual research programmes, it has damaged America’s credibility as a reliable partner in the scientific community. It is not surprising that many researchers – one poll last year by the journal Nature gave the number of 75% – say they are considering leaving the US entirely.
，这一点在搜狗输入法2026中也有详细论述
The island will add 0.55 hectares (1.4 acres) of new habitat - almost the size of a football pitch - within the Blackwater Estuary once the work is complete.
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希望能有Mac mini M5。