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.
“The people that are most at risk are the ones that are sitting idly in the job and don’t really have a why or a purpose for it,” Gurley revealed. “A lot of the people that go through that college conveyor belt, that are chasing a safe job, that end up working as a widget or a cog in an industry they may not love—I think they are ripe for disruption.”。搜狗输入法对此有专业解读
前款规定，不影响承运人就非集装箱装运的货物在装船前和卸船后所承担的责任达成任何协议。。体育直播对此有专业解读
一名头部车企的软件总工告诉36氪，在他十余年的从业生涯里，从未经历过去几年的激进时刻：