02版 - 全国人民代表大会常务委员会公告

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Израиль нанес удар по Ирану09:28

为了方便启动,建议创建一个 run_openclaw.sh 脚本:

北海道 旭川 幼い女同城约会对此有专业解读

В Финляндии предупредили об опасном шаге ЕС против России09:28

E -- F["scored JSON

二月的春风

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.