20:46, 27 февраля 2026Интернет и СМИ
Professor Michael Wooldridge has given this year’s Royal Society’s Michael Faraday Prize lecture. He speaks to Tom Whipple about why the AI we have is not what he wanted it to be; rational. And science columnist at the Financial Times Anj Ahuja brings her favourite new science to discuss.
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SAT problem with 14 variables and 126 clauses
Результаты исследования открывают двери для профилактики через стоматологическую помощь, для новых методов лечения, нацеленных на бактериальные метаболиты, для персонализированной медицины с учетом состояния микробиоты, перечислил эксперт. Пока клинические приложения находятся в разработке, простой уход за зубами становится не только залогом здоровой улыбки, но и потенциальным способом защитить мозг, заключил он.
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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.
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