Runway believes that world models are at the frontier of progress in artificial intelligence, recognizing that language models alone won’t solve the world’s hardest problems—robotics, disease, scientific discovery—and that real progress requires models that experience the world and learn from their mistakes the same way humans do. This kind of trial and error can be massively accelerated when done in simulation rather than in the real world, with world models offering the most clear path to general-purpose simulation. With team members working remotely from all over the world, Runway is pioneering general-purpose multimodal simulators of the world, building AI to simulate the world through merging art and science.
Why it matters: Runway articulates a vision of AI development beyond language models, arguing that solving humanity’s hardest problems requires AI that experiences the world and learns from mistakes through simulation rather than text generation alone. By focusing on world models as general-purpose simulators enabling massively accelerated trial and error, Runway positions simulation as the bridge between AI capabilities and real-world applications in robotics, medicine, and scientific discovery. The company’s approach of merging art and science to build multimodal simulators demonstrates that advancing AI requires not just technical capability but creative vision for how machines might learn to understand and navigate complex reality.
