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.
佰维存储：1-2月预盈15亿元-18亿元，存储行业迎来高度景气周期
，这一点在体育直播中也有详细论述
写稿时，采访对象的一张张面孔清晰浮现在眼前，含着笑。他们于我，熟悉得仿若相识多年的朋友。
Американские сенаторы захотели принудить Трампа прекратить удары по Ирану14:51