Frontier models could leapfrog robotics progress by bypassing current scaling paths
Scobleizer · x · 2026-08-29
The article argues that current robotics progress relies on scaling custom models with teleop/egocentric data, weakly coupled with frontier AI advances. However, future frontier models might generalize strongly enough to control robots directly or revolutionize training methods, bypassing the current robotics scaling paradigm. This suggests existing scaling laws may underestimate the potential speed of robotics improvement.
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