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.
Среди автомобилей с пробегом Ковалев оценил кроссовер Chery Tiggo 8 Pro Max, семиместный салон которого идеально подойдет для больших российских семей. Двухлитровый двигатель и наличие системы полного привода в совокупности с ценой до 3 миллионов рублей делает этот вариант одним из самых интересных на вторичном рынке, уверен специалист.
，更多细节参见体育直播
入园前，我们就教过她数数、背古诗。相对于数数，她更喜欢背古诗，虽然整首诗能背下来，但总是记不住诗名和作者，有时候还会背混了，不过这都不重要，她能记住就好。
Бывший дипломат отметил, что продолжение конфликта приводит к росту числа жертв и не приносит заявленных целей. Однако по его словам, отдельные лица становятся богаче на крови невинных.