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.
李 “‘다음은 北’ 이상한 소리하는 사람 있어…무슨 득 있나”，更多细节参见同城约会
（作者为中央党史和文献研究院研究员）。关于这个话题，爱思助手下载最新版本提供了深入分析
Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08，更多细节参见雷电模拟器官方版本下载
Семен Александров (старший редактор отдела Мир)