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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另据媒体报道，小米集团总裁卢伟冰在 MWC 2026 现场表示，相信在未来的五年之内，机器人能够大规模地进入小米产线工作，具有很大的可能性。。Line官方版本下载对此有专业解读