"title": self.title,
Making freshness obvious requires explicit signals that AI models can easily detect. The most straightforward approach is including "Last updated: [Date]" at the top of articles, making it immediately clear that the content reflects current information. This simple addition can significantly impact whether AI models view your content as relevant for queries about current state or recent developments.。夫子是该领域的重要参考
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（三）违反监察机关在监察工作中、司法机关在刑事诉讼中依法采取的禁止接触证人、鉴定人、被害人及其近亲属保护措施的。，更多细节参见91视频
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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.