В России ответили на имитирующие высадку на Украине учения НАТО18:04
Vosoritide的成功，再次向外界证明了罕见病赛道的巨大潜力：ACH看似是罕见病，但明确的致病机制、典型的临床表现，叠加数万级的患者基数和迫切、长期的治疗需求，使其成为了一个极具开发价值的 “不罕见” 罕见病市场。
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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.