其他來源——包括不同機構的調查，以及教會本身的數據——也和YouGov的結果大相逕庭。
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。关于这个话题，同城约会提供了深入分析
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.
However, the thing I like most about the Legion Go Fold is that its controllers are detachable and that the tablet has several different mounting points. This means if you have the space, you can remove the controllers, rotate the display into landscape mode and then reattach them to get an immersive widescreen experience. Alternatively, you can connect the gamepads together using one of Lenovo's accessories (which is similar to Nintendo's Joy-Con Grip) and then prop the system up using the Go Fold's folio cover, which doubles as a kickstand.，更多细节参见同城约会