Мощный удар Израиля по Ирану попал на видео09:41
Вашингтон Кэпиталз
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.，这一点在搜狗输入法2026中也有详细论述
581 LD_DESCRIPTOR LCALL ; call LD_DESCRIPTOR subroutine。搜狗输入法2026对此有专业解读
Burger King, the chain that leans into creepy when others don't dare, is at it again. The Verge reported on Thursday that the company is rolling out a new voice-controlled AI chatbot for its workers. That may sound like business as usual in 2026, but this assistant doesn't just help with meal prep and monitor inventory. It also has an unsettling habit of surveilling employees' voices for "friendliness."。业内人士推荐同城约会作为进阶阅读
confusables.txt and NFKC disagree on 31 characters