综述：将人类感知到物理行动连接成基础模型
Human-centric AI is getting better at isolated tasks, but this survey argues the…
Human-centric AI is getting better at isolated tasks, but this survey argues the next leap is connecting them into foundation models that understand people from perception all the way to physical action.
以人为中心的AI在孤立任务上表现越来越好，但这项调查认为，下一个飞跃是将它们连接成基础模型，从感知到物理行动全面理解人类。
Today, we have strong models for things like pose, avatars, motion, interaction, video generation, and robot control. But most still work as separate systems.
如今，我们在姿态、虚拟形象、动作、交互、视频生成和机器人控制等方面拥有强大的模型，但大多数仍作为独立系统运行。
The survey organizes all of this into 6 connected levels, from what a person looks like to how they move, interact, affect the world, and physically act.
该调查将所有这些组织成6个相互关联的层级，从人的外观到他们如何移动、互动、影响世界以及进行物理行动。
Its main recommendation: bigger models alone are not the answer.
其主要建议是：仅靠更大的模型并非答案。
The field needs shared human representations, better human data, stronger physical grounding, and evaluation that tests whether these abilities actually work together.
该领域需要共享的人类表征、更好的人类数据、更强的物理基础，以及评估这些能力是否真正协同工作的测试。
更进一步：量化金融体系
看懂新闻只是起点——沿量化金融路径，把它变成能交付的工程能力