早些日子，马斯克宣布将SpaceX与xAI进行合并，合并之后，xAI成为SpaceX的全资子公司。
Даже если гражданин никогда не трудился официально, он не может оказаться полностью лишен пенсии. Об этом заявила арбитражный управляющий Минюста России, бывший член Совета Федерации Ольга Епифанова. Ее процитировало RT.
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无法为孩子落户的刘成已向助产医院所在地的卫健委申请行政复议，希望通过复议拿到一份证明材料，让他们和代孕子女建立起明确、可持续的法律关系。当地已于2026年2月3日受理。
The OBR said the average interest rate on mortgages was expected to rise from 4.1% this year to 4.5% on average each year from 2027 to 2030.，推荐阅读im钱包官方下载获取更多信息
铁路部门表示，客货运输均保持高位运行，为假日经济平稳运行提供了支撑。。业内人士推荐体育直播作为进阶阅读
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.