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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该公司在2025年半年报中称，灵巧手作为机器人末端执行器的核心技术，其性能直接映射机器人的功能性，是推动机器人向智能化、拟人化演进的关键硬件。
For fathers these shares are respectively 5% and 29%.
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