It’s a combustive, disorienting moment in the history of media and technology, when lines in the sand are being drawn by both journalists and their audiences. And the Ars fallout underlines a phenomenon we’ve seen again and again, as even people who are deeply familiar with AI and its shortcomings can end up relying on it at a critical moment — and in the process, fall victim to something much older than generative AI: human error.
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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.