World Action Models make future video the robot’s control loop
World Action Models could replace the standard VLA recipe by predicting what happens next, then deriving the robot’s actions from that forecast. The post explains the split with NVIDIA GEAR’s DreamZero paper, where a video model becomes the decision-maker and action prediction becomes a translation step. The tradeoff is serious systems work: the article describes running a 14B diffusion model inside a 7 Hz control loop, while Rhoda AI claims industrial tasks can be learned from 10–20 hours of robot data.