The threat extends beyond accidental errors. When AI writes the software, the attack surface shifts: an adversary who can poison training data or compromise the model’s API can inject subtle vulnerabilities into every system that AI touches. These are not hypothetical risks. Supply chain attacks are already among the most damaging in cybersecurity, and AI-generated code creates a new supply chain at a scale that did not previously exist. Traditional code review cannot reliably detect deliberately subtle vulnerabilities, and a determined adversary can study the test suite and plant bugs specifically designed to evade it. A formal specification is the defense: it defines what “correct” means independently of the AI that produced the code. When something breaks, you know exactly which assumption failed, and so does the auditor.
人 民 网 版 权 所 有 ，未 经 书 面 授 权 禁 止 使 用
，这一点在Line官方版本下载中也有详细论述
Что думаешь? Оцени!
(mth dialect still has its uses, so it is available in Rye)
印奇似乎期望通过股权绑定新的产业玩家，但吉利的大船上能继续搭载的人，可能不多了。