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.
This one interview trend is a “big red flag” for Mr. Wonderful.
，更多细节参见搜狗输入法
正当阿里巴巴通义千问（Qwen）团队出现人员变动之际，谷歌DeepMind高管“隔空喊话”挖人。3月5日下午，谷歌DeepMind开发团队相关负责人Omar Sanseviero在社交平台喊话千问团队：“如果您想找个新地方来构建优秀的模型，并为开放模型生态系统做出贡献，请联系我们！我们的发展路线图上有很多令人兴奋的内容，未来还有很多工作要做。”
Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08