Москвичка Анастасия рассказала журналистам, что должна была вылететь с индонезийского острова Бали еще 28 февраля. У девушки была запланирована пересадка в Катаре, но в этот день над страной закрыли небо, и пассажирке пришлось сдать билет. Анастасия побоялась выбрать вылет с неопределенной датой и решила ждать возврата денег, который может занять до 30 дней.
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根据公告，兆威机电此次赴港IPO拟全球发售2674.83万股股份，最高发售价为每股73.68港元。全球发售预计募资总额约为19.71亿港元(约合17.28亿元人民币)，募资净额约为18.92亿港元(约合16.58亿元人民币)。
Luke doesn't believe in console loyalties ("You can't play Mario Kart on the PS5, right?") but he'll probably always hang onto his PS2. That's what he still uses to play 2001's SSX Tricky, his favorite video game of all time.
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.