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.
铁路部门回应「半夜候补成功 1700 元车票作废」
。关于这个话题，同城约会提供了深入分析
窃以为有条件的人家，皆应自觉于世风浇薄之际，努力带头隆厚风习礼俗，譬如春联，不见多精彩，但至少不应以粗鄙无文为得意、以言不及义为荣光。。搜狗输入法2026是该领域的重要参考
生活了一年半之後，他從洛杉磯搬到舊金山，亦因此需要轉為到舊金山的移民居局辦公室報到，劉亮稱，第一次去辦手續及報到的時候，沒有被告知不能離開灣區75英里的範圍外，「舊金山比洛杉磯嚴格。」
Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08