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.
所有摄像头捕捉的数据，仅供 AI 在完成环境理解，不留任何存档。这样一来，既喂饱了 AI，又最大程度地消解了用户对隐私的顾虑。
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我在调查过程中遇到一些孩子，他们会陷入一种矛盾心态：一边害怕因为点赞数不高、没有融入“圈子”而被同学冷落，一边又对“加好友只为点赞、刷完赞就删除”的虚无规则感到厌倦。有孩子在社交平台怒批“这样的风气只会越来越差”，可当帖子意外走红，一句句“加吗老师”的邀约涌来时，他还是忍不住通过了更多好友申请——在“融入”与“清醒”之间，成年人尚且难以选择，更何况心智尚未成熟的孩子？
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这和他「擅长表达」的传奇能力无关，却与他对简单、真实与纯粹的执念有关。