Жители Санкт-Петербурга устроили «крысогон»17:52
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.
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Боевые действия между Пакистаном и Афганистаном не сулят ничего хорошего, Москва рассчитывает на скорое прекращение конфликта. Об этом заявил пресс-секретарь президента России Дмитрий Песков, передает РИА Новости.
We appear to have reached a point in the information age where AI models are becoming old enough to retire from, er, service — and rather than using their twilight years to, I don’t know, wipe the floor with human chess leagues or something, they're now writing blogs. Can anything be more 2026 than that?
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