Core Insights - The article discusses the evolution of product management in the context of AI, emphasizing the transition towards AI Operating Systems (AIOS) as the next generation of product design [1][5][30] - It highlights the importance of integrating research and advanced algorithms into product development to enhance technical barriers and meet user demands [1][5] Group 1: AIOS Concept and Structure - AIOS is seen as a precursor to traditional operating systems, with a focus on dynamic user interfaces that adapt to user needs rather than fixed layouts [3][5] - The architecture of AIOS consists of three layers: application layer, AIOS core layer, and traditional OS core layer, allowing for efficient task management and user interaction [8][15] - The AIOS framework includes various management components such as Agent Scheduler, Context Manager, and Memory Manager, which optimize the use of AI resources [16][20] Group 2: Product Management in AIOS - AI product managers are expected to mimic human-computer interactions, ensuring transparency in task execution and user engagement [22][24] - The role of AI product managers will become increasingly critical as traditional software is replaced by native AI products, which offer customizable interfaces based on user input [30][31] - The integration of multiple AI models within AIOS allows for enhanced task execution and resource management, leading to improved efficiency [27][29]