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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Ранее профессор, доктор медицинских наук и офтальмохирург Татьяна Шилова рассказывала, что в солнечную зимнюю погоду есть риск заработать «снежную слепоту» из-за того, что свежий снег работает как мощный отражатель света и ультрафиолета.，详情可参考搜狗输入法2026
Nature, Published online: 25 February 2026; doi:10.1038/d41586-026-00292-7
。关于这个话题，Line官方版本下载提供了深入分析
63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54
Blue: Name homophones。safew官方下载是该领域的重要参考