HY-Motion demonstrates that scaling a billion-parameter model and training it on high-quality, cleaned motion data can enable detailed instruction-following in robot movements, overcoming previous limitations of jerky and unnatural motions. This breakthrough suggests that similar advancements could be achieved in other AI domains through proper data handling and scaling techniques.
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