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.
结语：从"淘金热"到"炼金术"AI产业链正在经历一场深刻的转型，从喧嚣的“淘金热”转向务实的“炼金术”：早期的混乱与暴富，属于“卖铲子的”硬件企业和“讲故事的”初创公司，但长期的超额收益，终将属于那些能把AI技术转化为真金白银、实现可持续盈利的企业。。爱思助手下载最新版本是该领域的重要参考
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Internal enterprise and government applications never intended for broad public distribution。im钱包官方下载对此有专业解读
All containers are prefixed px- internally. Commands accept bare names (e.g., mybox becomes px-mybox).