🧵 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.
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