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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但她也指出，與香港僅一河之隔的廣東深圳，也是寵物友善風氣盛行。「他們的狗狗已經能自由進出商場，餐廳也有些戶外範圍，他們（飼主與寵物）可以坐在一起吃東西。」。91视频对此有专业解读
Mice learning a neurofeedback brain–computer interface task show neuron-specific teaching signals in cortical dendrites, consistent with a vectorized solution for credit assignment in the brain.
your largest class size.