VQV Signal
According to a post on X by @runwayml, Runway has released Praxis-1, a 27B mixture-of-experts model that predicts video and robot actions together. It is released under Apache 2.0 with day-one support in Hugging Face's LeRobot, and Runway says it ranks #1 on NVIDIA's RoboLab-120 leaderboard. Runway's company-reported figures say it finished tasks 15.6x faster than GPT-6 Astra on the same arm, at 51x lower cost per task.
According to a post on X by @runwayml, Runway has released Praxis-1, a 27B mixture-of-experts model that predicts video and robot actions together. It is released under Apache 2.0 with day-one support in Hugging Face's LeRobot, and Runway says it ranks #1 on NVIDIA's RoboLab-120 leaderboard. Runway's company-reported figures say it finished tasks 15.6x faster than GPT-6 Astra on the same arm, at 51x lower cost per task.
AI-assisted summary based on the listed source.
Praxis-1 is a 27B mixture-of-experts model that predicts video and robot actions together, released under Apache 2.0 with day-one support in Hugging Face’s LeRobot, and Runway says it ranks #1 on NVIDIA’s RoboLab-120 leaderboard. Its company-reported figures say it finished tasks 15.6x faster than GPT-6 Astra on...
Robotics developers can access the model's weights under an open license, which lets them test and build on it directly. If the cost and speed claims hold up, the economics of building capable robot software could shift. The figures come from Runway itself, so independent benchmark results will be the thing to watch.
VQV organizes public signals from inspectable sources. It does not independently verify the underlying report.
Signal Strength reflects source quality, relevance, freshness and evidence. Public Interest helps organize discovery; it is not proof of truth.
VQV surfaced this signal because it is recent, relevant to Robotics, connected to Scobleizer News Pulse (X).
No login, cookies, social SDKs, or automatic posting.
