A small, trusted kernel: a few thousand lines of code that check every step of every proof mechanically. Everything else (the AI, the automation, the human guidance) is outside the trust boundary. Independent reimplementations of that kernel, in different languages (Lean, Rust), serve as cross-checks. You do not need to trust a complex AI or solver; you verify the proof independently with a kernel small enough to audit completely. The verification layer must be separate from the AI that generates the code. In a world where AI writes critical software, the verifier is the last line of defense. If the same vendor provides both the AI and the verification, there is a conflict of interest. Independent verification is not a philosophical preference. It is a security architecture requirement. The platform must be open source and controlled by no single vendor.
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printf("=== 排序算法性能测试 (n=%d) ===\n", N);
Imagine some hardware that introduces a feature specific to that hardware, which is not covered by any existing abstraction.
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IntroductionThe rapid diffusion of AI is generating a wave of research measuring and forecasting its impacts on labor markets. But the track record of past approaches gives reason for humility.。关于这个话题，PDF资料提供了深入分析
future inside that stream after we cancel next.What counts as snoozing a stream is a bit tricky, and it's