In the second attempt to build a joint video-action model, the team used the pretrained video prediction model Cosmos Predict 2.5-2B as the backbone network, extracting intermediate latent features during the video generation denoising process, and feeding them together with the robot's proprioceptive state and noisy action tokens into the Gemma Action Head, jointly generating denoised action control tokens through Flow Matching.