Мерц резко сменил риторику во время встречи в Китае09:25
The PET police intelligence service and FE military intelligence said in a joint statement the election campaign could be marked by disinformation and cyberattacks “to sow division, influence the public debate or to target candidates, parties or specific political programmes”.，这一点在Line官方版本下载中也有详细论述
Medium difficulty hints, answers for Feb. 27 PipsNumber (4): Everything in this space must add up to 4. The answer is 2-1, placed horizontally; 2-2, placed vertically.，更多细节参见搜狗输入法下载
Москвичей предупредили о резком похолодании09:45，推荐阅读搜狗输入法2026获取更多信息
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.