NVIDIA reposts a GPT-like motion model that reproduces clips with 99.98% success
Syntetisaattori · x · 2026-07-25
- A repost claims NVIDIA trained a GPT-like model that generates human motion instead of text.
- The approach is described as next-token prediction over body-motion tokens.
- The post says the model reached 99.98% success reproducing a large corpus of motion clips, learned skills like cartwheels and flips from raw data, and adapted to new tasks with less than 1% extra parameters.
- If accurate, the demo suggests a highly parameter-efficient way to generate and control motion in physics-based environments.
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