Figure may have found a scaling rule for robot pretraining: keep the model and task…
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Figure may have found a scaling rule for robot pretraining: keep the model and task training fixed, add more Index data (Figure's large pretraining dataset of human behavior) > and action-prediction loss falls in a clean, predictable way. the smaller runs predicted the 8x-data run almost exactly, i.e. a robotics company can estimate what another doubling of human-behavior data will buy before spending the compute on the full run. should make robot training less trial-and-error and more like LLM scaling, although the curve predicts action loss, not real-world task success. so it does not ye
Posted by Rohan Paul (157.6k followers) 1 days ago · 17 likes · 6.1k views · view the original post on X. Kept by the AI Radar as AI research.
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