Testing LLM reasoning abilities with SAT is not an original idea; there is a recent research that did a thorough testing with models such as GPT-4o and found that for hard enough problems, every model degrades to random guessing. But I couldn't find any research that used newer models like I used. It would be nice to see a more thorough testing done again with newer models.
* 时间复杂度: O(nlogn) 空间复杂度: O(1) 稳定: ✗
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It's versatile enough that it can be used for application and systems programming. It has the best tooling of any language I've seen. It has a fairly pleasant type system. And I think most importantly it does a great job in bringing higher level language features into an environment without a garbage collector. Rust has arguably set the bar for "fast languages that are also decently expressive".
Over time, he predicts, "We will see those service levels and speeds and experience improve, and we're already seeing some of that playing out."