Блогеру Арсену Маркаряну дали срок14:50
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.
，这一点在一键获取谷歌浏览器下载中也有详细论述
第二百零五条 提出共同海损分摊请求的一方应当承担举证责任，证明其损失应当列入共同海损。
India's top court angry after junior judge cites fake AI-generated orders
3 February 2026ShareSave