Scientists created an exam so broad, challenging and deeply rooted in expert human knowledge that current AI systems consistently fail it. “Humanity’s Last Exam” introduces 2,500 questions spanning mathematics, humanities, natural sciences, ancient languages and highly specialized subfields.

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2026-02-27 00:00:00:0谭 盾3014247310http://paper.people.com.cn/rmrb/pc/content/202602/27/content_30142473.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/27/content_30142473.html11921 让九色鹿替我们“扯一把地气”(书里书外)

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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.

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Vinícius

一切政绩,必须植根“实际”的土壤,遵循“规律”的准则,这是中国共产党人实事求是精神的内在要求。