Modern digital services have evolved into indispensable tools, driving the present large-scale information systems. Yet, the prevailing platform-centric model, where services are optimized for platform-driven metrics such as engagement and conversion, often fails to align with users' true needs. While platform technologies have advanced significantly-especially with the integration of large language models (LLMs)-we argue that improvements in platform service quality do not necessarily translate to genuine user benefit. Instead, platform-centric services prioritize provider objectives over user welfare, resulting in conflicts against user interests. This paper argues that the future of digital services should shift from a platform-centric to a user-centric agent. These user-centric agents prioritize privacy, align with user-defined goals, and grant users control over their preferences and actions. With advancements in LLMs and on-device intelligence, the realization of this vision is now feasible. This paper explores the opportunities and challenges in transitioning to user-centric intelligence, presents a practical device-cloud pipeline for its implementation, and discusses the necessary governance and ecosystem structures for its adoption.

翻译：现代数字服务已演变为不可或缺的工具，驱动着当前大规模信息系统的发展。然而，当前主流的平台中心模型——即服务围绕平台驱动的指标（如用户参与度和转化率）进行优化——往往无法与用户的真实需求保持一致。尽管平台技术已取得显著进步，特别是在集成大语言模型（LLMs）方面，我们认为平台服务质量的提升未必能转化为真正的用户利益。相反，平台中心服务将提供方目标置于用户福祉之上，导致与用户利益产生冲突。本文主张数字服务的未来应从平台中心转向用户中心智能体。这些用户中心智能体优先考虑隐私保护，与用户定义的目标保持一致，并赋予用户对其偏好和行为的控制权。随着大语言模型与端侧智能技术的进步，这一愿景的实现现已具备可行性。本文探讨了向用户中心智能转型的机遇与挑战，提出了实现该目标的具体端云协同技术路径，并讨论了其落地所需的治理框架与生态系统结构。