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.
IBM 回应 AI 冲击：现代化远不止改代码
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知道海明威怎么写《老人与海》吗？他每天停笔时，故意不写完一句话，就写半句，留半句。为什么？这样第二天早上，他就有个现成的开头可以接着写，灵感不会断片。他太懂怎么对付那个完美主义小鬼了。
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