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.
for (const [key, register] of Object.entries(state)) {
。同城约会是该领域的重要参考
Путешествия для россиян стали еще дороже из-за конфликта на Ближнем Востоке20:37
界限上，不能背离大方向和大战略，这是原则。比如严守耕地红线。在浙江，园林地“上坡”、耕地“下坡”，“巴掌田”变成宜机化整片田。