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.
Natural Neighbour Interpolation
16:15, 27 февраля 2026МирЭксклюзив，更多细节参见搜狗输入法2026
Медведев вышел в финал турнира в Дубае17:59，更多细节参见夫子
Additional_Beloved
"self_check": ["lint", "typecheck", "关键场景手测"]，更多细节参见WPS官方版本下载