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.
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A whole bunch of them also seem to be filled in by JavaScript later, since they contain placeholders like $ctrl.model.email or $ctrl.commonConstants.EMAIL_REGEX. Working on an archive makes the kind of symbolic execution I'd need to resolve that to work difficult.
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"We need spectacular moments to snatch their attention in one stroke," Kang, the director, explains. Unlike streaming or TV, where viewers are "ready and willing to give up their time," micro-dramas are competing with the allure of scrolling.