Research→Official→Runway Research
Runway Research suggests that real-time video generation, where AI synthesizes video frame-by-frame in response to user input, could replace text-based interaction as the primary online model. The company's GWM-1 model, launched in December 2025, is described as an autoregressive world model that generates video in real time and can be co-created with users. This shift is enabled by video models that develop internal representations of physics and human behavior at sufficient scale.
Why it matters: Real-time video generation has the potential to fundamentally change how people interact online, moving from text-based queries to dynamic, personalized video responses.
Jul 11, 2026
Models→Official→Runway Research
Runway Research has announced three new releases: GWM-1, a real-time general world model for simulating reality; Gen-4.5, a video generation model with improved motion quality and visual fidelity; and Act-One, a tool for generating expressive character performances within Gen-3 Alpha. These tools are designed to enhance creative possibilities for artists working with AI-generated video and animation.
Why it matters: These releases expand the capabilities of AI-driven video and animation tools, offering artists more expressive and realistic creative options.
Jul 11, 2026
Research→Official→Runway Research
Runway Research has announced a new long-term research effort focused on general world models, aiming to advance AI systems that understand the visual world and its dynamics. The initiative includes a robotics-specific model, GWM-Robotics, which simulates robot policies and shows early results suggesting it could serve as a practical substitute for hardware evaluation.
Why it matters: General world models could enable AI to better understand and interact with the physical world, accelerating progress in robotics and related domains.
Jul 11, 2026
Research→Official→Runway Research
Runway Research published a perceptual study, The Turing Reel, in which participants were shown pairs of videos—one real and one generated by Runway Gen-4.5—starting from the same frame. Only 5% of viewers consistently identified the real video, indicating that most participants could not reliably distinguish between real and AI-generated footage.
Why it matters: This result highlights the increasing realism of AI-generated video and raises concerns about authenticity and trust in visual media.
Jul 11, 2026