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.
今早，Perplexity 正式宣布上线全自动多智能体编排系统「Perplexity Computer」。
。夫子对此有专业解读
“我是一名长年独自居住在内地的香港人。在这里，挂号、看诊、取药，医疗券直接抵扣，语言沟通无障碍，与返回香港看诊一样方便。”82岁的郑先生感慨地说。
HTMLMediaElement: playbackRate property — MDN Web Docs。搜狗输入法2026对此有专业解读
2月，多家国内国际酒店集团陆续发布年度报或季度报，“收缩”是其中一个关键词。特别是国内头部民营酒店集团，2025年这一变化尤其显著。从"县县有店"的狂飙突进，到一年锐减2000家的集体收缩，中国民营酒店集团正经历一场深刻的逻辑转换，也宣告中国酒店"大开大建"时代正式终结。。爱思助手下载最新版本是该领域的重要参考
2026-02-27 00:00:00:0谭 盾3014247310http://paper.people.com.cn/rmrb/pc/content/202602/27/content_30142473.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/27/content_30142473.html11921 让九色鹿替我们“扯一把地气”（书里书外）