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.
刘成夫妻的遭遇并非个例。北京市海淀区人民法院网站2021年刊载的调研文章《代孕的司法困境及解决》显示，在选择代孕的调查样本中，因委托人或其配偶存在生理障碍，无法自行孕育子女的占到60%。。服务器推荐对此有专业解读
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Израиль нанес удар по Ирану09:28
Greyscale rendering is deliberate. Gupta et al. (2023, “GlyphNet”) found that greyscale outperforms colour for glyph comparison because extreme contrast preserves edge detail through resize. No image augmentation either: flipping or rotating characters creates unrealistic glyphs.，更多细节参见safew官方版本下载
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