「現在唯一擋在美國人與完全開放邊境之間的，就是唐納德·特朗普總統以及我們國會中偉大的共和黨愛國者。」他說。
I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
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MCO 目前只是一个开始。下一步继续深化"Agent 神经中枢"和编排的场景：