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.
当然，这种带有强烈作秀性质的表演，在美国的商业与流行文化中屡见不鲜。华尔街、硅谷、好莱坞乃至超级碗的历史上，类似的公关笔笔皆是：WeWork创始人亚当·诺依曼在公司财务暴雷前夕砸重金办员工夏令营；埃隆·马斯克接管Twitter时抱着洗手槽；阿什顿·库彻和米拉·库尼斯的联合道歉视频；Coinbase豪掷千万美元买下超级碗黄金时段广告，但全屏只播放一个极简二维码；勒布朗·詹姆斯的电视直播《决定》……
，推荐阅读体育直播获取更多信息
Continue reading...
Подростки распылили перцовый баллончик на пассажиров электрички под Петербургом20:54，详情可参考WPS下载最新地址
15+ Premium newsletters by leading experts，更多细节参见im钱包官方下载
Nature, Published online: 25 February 2026; doi:10.1038/d41586-025-04161-7