AI 终于开始关心你这个人，而不是只完成任务
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：让 AI 把你这个人——你的状态、你的变化、你的意愿——当成核心来建模和干预。它用传感器、穿戴设备、机器人、人工服务当通道，形成一个闭环：感知你的事件、记住你的长期情况、预测你未来的状态、再决定要不要介入、怎么介入才合适。它不追求造一个完美的数字分身，而是用够用、可纠错、尊重你控制权的模型。它不是你明天就能用上的东西，但它把 AI 的方向从『完成任务』扭向『长期对你好』。
📄 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.