可“江湖”的惯性，远比一次功能更新更持久。某二手交易平台上，虚拟商品依旧活跃；新产品推出的“楼层级定位”“更强社交功能”，又在为这个数字小世界增添新的复杂度。这不禁令人思考：当功能性产品在技术的加持下不断强化“社交”属性，谁来为孩子们的“纯粹成长”留一方空间？
「傳統基金會」向BBC表示，「所有政策和人事決策皆由特朗普總統及其團隊決定」，淡化自己影響行政政策的說法。
，这一点在夫子中也有详细论述
Donald Trump has spent much of his second term at war with science and scientists. He is cutting staff at institutions such as the Environmental Protection Agency (EPA) by a third, and has cancelled or frozen up to 8,000 federal research grants. This hasn’t just hurt individual research programmes, it has damaged America’s credibility as a reliable partner in the scientific community. It is not surprising that many researchers – one poll last year by the journal Nature gave the number of 75% – say they are considering leaving the US entirely.
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.