13:24, 27 февраля 2026Бывший СССР
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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Publication date: 28 February 2026
Neanderthal Men and Human Women Were Most Likely to Hook Up, Study Finds. Geneticists have found an interesting pattern in how early humans and Neanderthals interbred—and it wasn't balanced.
“这一新的现实情况表明，这是有意做出的举措，即比以往任何时候都更进一步地锁定供应链产能。”