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.

· · 来源:tutorial资讯

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Consider an example. An AI rewrites a TLS library. The code passes every test. But the specification requires constant-time execution: no branch may depend on secret key material, no memory access pattern may leak information. The AI’s implementation contains a subtle conditional that varies with key bits, a timing side-channel invisible to testing, invisible to code review. A formal proof of constant-time behavior catches it instantly. Without the proof, that vulnerability ships to production. Proving such low-level properties requires verification at the right level of abstraction, which is why the platform must support specialized sublanguages for reasoning about timing, memory layout, and other hardware-level concerns.

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想象一下,你是一位想要构建带有 AI 代理的移动或 Web 应用的开发者。当智能体部署在云端时,你会面临一系列问题:

题目要求与弹出条件的对应关系:

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