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.
刚刚结束的马年春晚，宇树科技、松延动力、银河通用等一批具身智能企业集体亮相，以超高密度完成了全民科普，据传马年春晚开播两小时，京东机器人搜索量环比增长超300%，订单量暴涨150%。
。业内人士推荐搜狗输入法2026作为进阶阅读
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Фото: Tingshu Wang / Reuters