今天，更新后的 MiniMax Agent 推出了两项新功能。
南方周末：是否也因为比赛时，面对的是远超过普通音乐会规模的观众和关注？
，更多细节参见搜狗输入法2026
Также Нилов напомнил об уже действующих в России субсидиях для уязвимых групп населения, среди которых многодетные семьи и одинокие пенсионеры. Доплата предоставляется в том случае, если доля расходов на оплату «коммуналки» у потребителя превышает установленный предел. В целом по стране он составляет 22 процента, но может варьироваться в зависимости от региона.
В Финляндии предупредили об опасном шаге ЕС против России09:28
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.