# Praxis-1

Runway released Praxis-1, which converts a 27B-parameter video foundation model into a world action model that predicts both the next scene and the motion to reach it, and ships it as open weights. Robot data is scarce and expensive to collect, and generalist policies have leaned on teleoperation or egocentric footage; Praxis-1 instead pretrains on everyday video, then mid-trains on embodied video and jointly with an action expert. Fine-tuned on DROID, it solved 555 of 1,200 RoboLab-120 episodes (46.2%), the highest among world action models and open-source robot foundation models on that leaderboard.

Runway released Praxis-1, which converts a 27B-parameter video foundation model into a world action model that predicts both the next scene and the motion to reach it, and ships it as open weights. Robot data is scarce and expensive to collect, and generalist policies have leaned on teleoperation or egocentric footage; Praxis-1 instead pretrains on everyday video, then mid-trains on embodied video and jointly with an action expert. Fine-tuned on DROID, it solved 555 of 1,200 RoboLab-120 episodes (46.2%), the highest among world action models and open-source robot foundation models on that leaderboard.