AI 终于开始关心你这个人，而不是任务
现在的 AI 助手分两种：一种只动软件(发提醒)，一种只动硬件(送药)。但没人真正搞懂你：是忘了、糊涂了、有副作用，还是故意不吃。这篇提出一个新范式：把「你的状态」当成 AI 的核心对象，用传感器、穿戴设备、机器人、人工服务一起感知、建模、预测，再决定要不要干预、怎么干预。它强调干预要克制、要经过你同意、要可撤销，而不是一味完成任务。它不是你明天能用上的东西，但它把 AI 从「完成任务」转向「持续对你好」，这个方向值得盯。
📄 原文摘要(英文)
After an older adult misses a medication dose, a software agent can send another reminder and an embodied agent can bring the medication. Yet neither explains whether the person forgot, is confused, has side effects, or deliberately refused, nor what support is appropriate. This reveals a structural gap in Agentic AI: Digital Agents primarily transform software states, while Embodied Agents transform physical states; neither makes a person's evolving state and agency the primary object of modeling, intervention, and evaluation. We introduce Combodied Agents, a human-centered paradigm that perceives, models, predicts, and supports individual human-state trajectories over time, using software tools, sensors, wearables, robots, and human services as action channels rather than end goals. We unify fragmented capabilities across personal assistants, health agents, AI companions, and adaptive human--AI systems into a closed loop: event-based multimodal perception reconstructs meaningful personal events; longitudinal, correctable memory provides temporal context; Personal World Models estimate future personal states and outcomes under alternative decisions and interventions; and an admissible intervention policy selects proportionate support under consent, uncertainty, safety, reversibility, and user control. Feedback from the person and environment updates the loop. Rather than requiring an exhaustive Human Digital Twin, the framework uses purpose-bounded, uncertainty-aware, user-correctable representations. We organize the design space by human-state targets, relational contexts, and agent roles, and propose scenario-centered evaluation, agency-preservation metrics, benchmark requirements, edge-native personal models, and governance directions. Combodied Agents shift Agentic AI from external task completion toward sustained human benefit.