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.
我指示美国政府中所有联邦机构，立即停用Anthropic的技术。
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그러나 영공 제한과 공항 운영 차질이 이어지면서 상황은 달라졌다. 세제 혜택과 규제 완화만으로 금융 허브가 유지되는 것은 아니다. 위기 상황에서도 자본과 인력이 신속히 이동할 수 있어야 한다. 이동이 막히는 순간, 허브의 경쟁력도 함께 약화된다.