AI 导读
🧵 4. 以人为中心的范式，AWE 3.5 使用了超过 100 万小时以人为中心的数据进行训练。 TARS 提出以人为中心的数据采集范式，作为为物理 AI 扩展数据的关键路径。 以人为中心的范式旨在从真实世界任务中的人类采集数据。该数据采集系统覆盖多样场景，支持大规模物理 AI 能力的开发。
正文
🧵 4. Human-centric Paradigm，AWE 3.5 was trained by over 1 million hours of human-centric data.
TARS proposes a human-centric data-collection paradigm as an essential path to scaling data for physical AI.
The human-centric paradigm is designed to collect data from human in real world tasks.The data acquisition system covers diverse scenarios , supporting the development of large-scale physical AI capabilities.
来源：@rohanpaul_ai · x.com