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.
"type 2 fun". With that in mind, here's
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Иран ударил по зданию Минобороны Израиля и аэропорту Бен-Гурион02:19
当他开始学习电影，他必须问自己：“有什么事情是我真的能做得最好，或者说我个人对电影有什么独特的看法？”答案渐渐清晰，“我觉得家族历史是我能做得好的事情，也是我非常感兴趣的，而且还能理解我家人的过去”。
В США отказались от ответственности за ситуацию на Ближнем Востоке08:28