The science of soulmates: Is there someone out there exactly right for you?

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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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就在刚刚,据 The Information 报道,七个月前刚加入 Meta 的技术大牛庞若鸣(Ruoming Pang),在上周悄悄加入了 OpenAI。