Understanding the Vision of General World Models
The future of artificial intelligence lies in systems that possess a deep understanding of the visual world and its dynamics. Runway ML is embarking on an innovative research venture known as General World Models (GWM). This initiative aims to develop AI systems that can create internal representations of environments and simulate future events within those environments. While previous research in world models has been limited to controlled settings, such as simulated video game worlds or driving scenarios, the vision of general world models is much broader. These models seek to represent and simulate a wide range of situations and interactions resembling real-world complexities.
Evolution Beyond Gen-2: Towards General World Models
In the realm of video generative systems, Gen-2 serves as an initial step towards general world models. Although Gen-2 can create short videos by leveraging its understanding of physics and motion, its capabilities are still constrained. The system encounters challenges with complex camera movements, object motions, and other intricate dynamics. To actualize general world models, Runway ML is addressing several key research hurdles. These models must be able to generate consistent environmental maps, navigate and interact within these environments, and comprehend not only the world's dynamics but also the behaviors of its inhabitants, including realistic human behavior modeling.
Joining the Quest for General World Models
To tackle the ambitious task of developing general world models, Runway ML is assembling a dedicated team. If you are passionate about advancing AI and wish to contribute to this cutting-edge research effort, the company welcomes individuals to join their exploration of the possibilities offered by general world models. By nurturing a collaborative and innovative environment, Runway ML aims to push the boundaries of AI capabilities and revolutionize how AI systems interact with and understand the world around them.