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Филолог заявил о массовой отмене обращения на «вы» с большой буквы09:36
作为京津冀机器人产业链的牵头方，河北加速构建“京津研发、河北转化”新模式，加快打造机器人产业。2025年，河北省机器人相关企业达468家，较2024年底新增98家；全产业链营业收入223.2亿元，同比增长42.5％；机器人产量21.9万台（套），同比增长80.8％。，详情可参考搜狗输入法2026
Judge blocks Virginia law restricting social media for children。业内人士推荐51吃瓜作为进阶阅读
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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