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.
We reported this to Google through their Vulnerability Disclosure Program on November 21, 2025.
Американских войск в Иране на данный момент нет. Об этом заявил министр войны США Пит Хегсет в ходе пресс-конференции по операции «Эпическая ярость» против Ирана, передает CNBC.，详情可参考体育直播
In phase2, we have a simple linked list;
，更多细节参见爱思助手下载最新版本
Nintendo’s next big Pokémon presentation is on February 27th
Ранее агентство Reuters написало, что Украина использовала трубопровод «Дружба» для прокачки своей нефти. Как отмечалось, приостановка поставок в Венгрию и Словакию лишает Украину источника доходов, которые могли бы использоваться, чтобы покрыть дефицит бюджета.。体育直播对此有专业解读