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Worth noting here is that Chrome itself limits this to 16x. The HTML spec has no mandated cap but since this is Chromium extension; the constraint stands.
。业内人士推荐搜狗输入法2026作为进阶阅读
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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.
第四十六条 违反有关法律法规关于飞行空域管理规定，飞行民用无人驾驶航空器、航空运动器材，或者升放无人驾驶自由气球、系留气球等升空物体，情节较重的，处五日以上十日以下拘留。