He Quit Baidu. But First He Had to Build an AI Version of Himself (www.sixthtone.com)

Wei Ying, a former algorithm engineer at Baidu, has gained attention for creating an AI version of himself before leaving the company. This digital substitute, trained on his extensive work data—including code, documents, and communication styles—can perform 90% of his tasks, allowing colleagues to interact with it like a real person for technical queries. This trend, dubbed "zhengliu" or "distillation," reflects a growing movement in China where employees are encouraged to convert their knowledge into AI systems, ensuring their expertise continues to serve the company even after they leave. The significance of this development raises critical questions about job security and the future of work in the AI/ML community. While some view it as an innovative way to preserve knowledge, many tech workers feel uneasy, fearing that their contributions could lead to their own obsolescence. The rise of AI systems capable of replicating individual work styles challenges traditional job roles, with some employees even resorting to "anti-distillation" tools to protect their workflows. As companies push for AI integration and skill development, concerns about accountability and the ethical implications of replacing human expertise with AI are becoming increasingly prominent.