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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圖像加註文字，OpenAI透過開源技術比對，發現自去年11月起，網路多個帳號發布「右翼共生者」的迷因，指控高市早苗與極右翼有關聯。曾要求ChatGPT協助抹黑高市早苗
16 January 2026ShareSave