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.
На Украине рассказали о технике влияния Ермака на Зеленского14:52
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Today's NYT Strands hints are easy if you're a neat freak.，这一点在Safew下载中也有详细论述
奥乐齐在中国市场的演化，是一个典型样本——更少的SKU、更高比例的自有品牌、围绕社区的高周转运营。它在中国跑通了一种极具本土参考价值的定位——低价但不廉价。折扣，但保留中高端品质感。