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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For implementers, this promise-heavy design constrains optimization opportunities. The spec mandates specific promise resolution ordering, making it difficult to batch operations or skip unnecessary async boundaries without risking subtle compliance failures. There are many hidden internal optimizations that implementers do make but these can be complicated and difficult to get right.