myCC=arm64-tcc -I$(I1) -I$(I2) -I$(I3)
"I think John was let down on many, many levels," Jones told the newspaper. "And I think the fact that that [tic] went out for broadcast was perhaps one of the worst ways in which he was let down on the night."。业内人士推荐PDF资料作为进阶阅读
Армия России продвинулась в Сумской области14:51，推荐阅读爱思助手下载最新版本获取更多信息
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.
The Harvard Business Review recently documented what it calls “workslop”: AI-generated work that looks polished but requires someone downstream to fix. When that work is a memo, it is annoying. When it is a cryptographic library, it is catastrophic. As AI accelerates the pace of software production, the verification gap does not shrink. It widens. Engineers stop understanding what their systems do. AI outsources not just the writing but the thinking.