The race to release world models is on as AI image and video generation company Runway joins an increasing number of startups and big tech companies by launching its first one. Dubbed GWM-1, the model works through frame-by-frame prediction, creating a simulation with an understanding of physics and how the world actually behaves over time, the company said.
A world model is an AI system that learns an internal simulation of how the world works so it can reason, plan, and act without needing to be trained on every scenario possible in real life.
Runway, which earlier this month launched its Gen 4.5 video model that surpassed both Google and OpenAI on the Video Arena leaderboard, said its GWM-1 world model is more “general” than Google’s Genie-3 and other competitors. The firm is pitching it as a model that can create simulations to train agents in different domains like robotics and life sciences.
“To build a world model. We first needed to build a really great video model. We believe that the right path to building a world model is teaching models to predict pixels directly is the best way to achieve general-purpose simulation. At sufficient scale and with the right data, you can build a model that has sufficient understanding of how the world works,” the company’s CTO Anastasis Germanidis said during the live stream.
Runway released specific slants or versions to the new world model called GWM-Worlds, GWM-Robotics, and GWM-Avatars.
GWM-Worlds is an app for the model that lets you create an interactive project. Users can set a scene through a prompt or an image reference, and as you explore the space, the model generates the world with an understanding of geometry, physics, and lighting. The company mentioned that the simulation runs at 24 fps and 720p resolution. Runway said that while Worlds could be useful for gaming, it’s also well-positioned to teach agents how to navigate and behave in the physical world.
With GWM-Robotics, the company aims to use synthetic data enriched with new parameters like changing weather conditions or obstacles. Runway says this method could also reveal when and how robots might violate policies and instructions in different scenarios.
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Runway is also building realistic avatars under GWM-Avatars to simulate human behavior. Companies like D-ID, Synthesia, Soul Machines, and even Google have worked on creating human avatars that look real and work in areas like communication and training.
The company noted that technically Worlds, Robotics, and Avatars are separate models, but eventually it plans to merge all these into one model.
Besides releasing a new world model, the company is also updating its foundational Gen 4.5 model released earlier in the month. The new update brings native audio and long-form, multi-shot generation capabilities to the model. The company said that with this model, users can generate one-minute videos with character consistency, native dialogue, background audio, and complex shots from various angles. The company said that you can also edit existing audio and add dialogues. Plus, you can edit multi-shot videos of any length.
The Gen 4.5 update nudges Runway closer to competitor Kling’s all-in-one video suite, which also launched earlier this month, particularly around native audio and multi-shot storytelling. It also signals that video generation models are moving from prototype to production-ready tools. Runway’s updated Gen 4.5 model is available to all paid plan users.
The company said that it will make GWM-Robotics available through an SDK. It added that it is in active conversation with several robotics firms and enterprises for the use of GWM-Robotics and GWM-Avatars.
