「男男之愛」 和《烈愛對決》的力量，在於它們能呈現：身處邊緣的人所渴望並真實存在的愛會是什麼樣子。
During his time at Uber, Michael became a member of Pentagon’s Defense Business Board, an advisory group that shares best practices from the private sector with government agencies. At the time of his appointment, he was the only board member with tech startup experience.
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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.
假使AI说的是对的，我似乎也无力抚平狗的焦虑，只能听着视频监控中一阵阵狗嚎，祈祷它嚎累后尽快睡去。彼时，我身处广东，狗则在上千公里外，于北京市朝阳区“坐牢”，除夕则是“刑期”的第一天。
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信任幼儿园，也信任孩子：老师是伙伴，不是「托管员」；孩子比我们想象中更有韧性。