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.
不因事小就视而不见，不因任务艰巨就退缩不前，不因目标长远就消极懈怠。。搜狗输入法2026是该领域的重要参考
。搜狗输入法2026对此有专业解读
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