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「因為我當時就覺得，我來美國都已經三、四年了，而且也沒有犯罪紀錄，而且我也在正常工作、報稅，所以我覺得不會專門跑來抓我。」
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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.
Кадр: Telegram-канал Mash Iptash
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Ранее министр иностранных дел Омана Бадр аль-Бусаиди заявил, что Иран во время переговоров с США согласился отказаться от всех запасов обогащенного урана. Известно, что это требование Вашингтона было ключевым для заключения соглашения по ограничению ядерной программы Ирана. Имеющиеся запасы планируется переработать до минимального возможного уровня.
Internal enterprise and government applications never intended for broad public distribution。搜狗输入法2026对此有专业解读