这个判断在整个VC圈子里正在成为共识。Bain Capital Ventures的合伙人说了一句很有意思的话：投资物理世界的AI改造，过去十年一直是"大家觉得有道理但没人真的信"，到了2025年突然变成了所有人都在谈的事。数据印证了这个转变——2025年机器人领域的VC投资同比增长69%，达到222亿美元，预计2026年还会再翻一倍。
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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Кремль не видит существенных изменений переговорной позиции Киева в рамках урегулирования конфликта на Украине. Об этом заявил пресс-секретарь президента России Владимира Путина Дмитрий Песков, передает ТАСС.
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