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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.

Олеся Мицкевич (Редактор отдела «Силовые структуры»)

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高盛研究分析师Matthew Martino在其报告中写道,“近期软件股的抛售反映的是投资者情绪的快速转变,而非基本面的突然恶化。令人担忧的是,如果AI代理成为执行工作的主要界面,传统平台可能会沦为被动的数据存储设备。这可能会削弱它们的定价权和战略相关性。”,更多细节参见同城约会

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