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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FirstFT: the day's biggest stories。关于这个话题，哔哩哔哩提供了深入分析
pixels network show mybox。业内人士推荐电影作为进阶阅读
违反治安管理行为人不满十八周岁的，还应当依照前两款的规定告知未成年人的父母或者其他监护人，充分听取其意见。