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.
Think about interviews. You’re in a system design round, and you propose a simple solution. A single database, a straightforward API, maybe a caching layer. The interviewer is like: “What about scalability? What if you have ten million users?” So you add services. You add queues. You add sharding. You draw more boxes on the whiteboard. The interviewer finally seems satisfied now.。Line官方版本下载是该领域的重要参考
，这一点在体育直播中也有详细论述
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By Will Standring and Alice Gledhill。体育直播是该领域的重要参考
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