就拿Kimi Claw来说,目前百度智能云等大厂都开始跟进推出OpenClaw一键部署服务,失去门槛优势的Kimi,也不一定能继续“20天赚一年”的奇迹。
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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