插畫家、男男愛情作品愛好者奇卡（Chicca）表示：「這部作品與男男愛情作品常見的主題相似，例如渴望在內在壓力和社會偏見中自由去愛，以及「脆弱情感」和「高度陽剛環境」之間的強烈對比。」
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.
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「Claw」是 Agent 之后一种新的智能阶段