Runway announced GWM Worlds 2, a research preview for real-time interactive world simulation built on its foundational audio-visual generation model. The system generates continuous 720p video at 24 fps with 48 kHz audio that responds dynamically to user inputs like movement, dialogue, and weather changes, rather than relying on pre-scripted clips. It matters to practitioners as an early playable world model in the growing real-time generative simulation space.
Runway introduced GWM Worlds 2, a research preview that turns high-fidelity video and audio generation into real-time interactive simulation, and detailed its new WorldPrompt input format in interviews with CTO Kamil Sindi, Principal Research Scientist Robin Kahlow, and co-CEO Anastasis Germanidis. WorldPrompt lets users fix parts of a simulated environment and prompt timestamped, real-time events, differentiating Runway from Genie 3, Odyssey-2 Pro, and World Labs' RTFM. The work matters to practitioners because real-time autoregressive world generation remains an open engineering problem with limits in error accumulation, memory, and counterfactual realism.
Runway introduced GWM Worlds 2, a research preview that turns high-fidelity video and audio generation into real-time interactive simulation, and detailed its new WorldPrompt input format in interviews with CTO Kamil Sindi, Principal Research Scientist Robin Kahlow, and co-CEO Anastasis Germanidis. WorldPrompt lets users fix parts of a simulated environment and prompt timestamped, real-time events, differentiating Runway from Genie 3, Odyssey-2 Pro, and World Labs' RTFM. The work matters to practitioners because real-time autoregressive world generation remains an open engineering problem with limits in error accumulation, memory, and counterfactual realism.
Astronex-World 1.0 is an open controllable video world-model foundation supporting text-to-video and image-to-video generation under camera trajectories, continuous actions, and inserted text events. Built on a 5B prior, it streams 832x480 video at 24 fps in real time on a single GPU and outperforms larger 13.6B–14B models on WBench. Its reserved action interfaces enable post-training for embodied intelligence and autonomous driving.
Astronex-World 1.0 is an open controllable video world-model foundation supporting text-to-video and image-to-video generation under camera trajectories, continuous actions, and inserted text events. Built on a 5B prior, it streams 832x480 video at 24 fps in real time on a single GPU and outperforms larger 13.6B–14B models on WBench. Its reserved action interfaces enable post-training for embodied intelligence and autonomous driving.
AlayaWorld is a full-stack, open-source video world model that supports 720p, 24 FPS streaming video generation with camera control and text-driven event generation. It is built around four core properties: interaction, consistency, stability, and runtime.
AlayaWorld is a full-stack, open-source video world model that supports 720p, 24 FPS streaming video generation with camera control and text-driven event generation. It is built around four core properties: interaction, consistency, stability, and runtime.
A new arXiv paper, WorldSonus, presents an interactive video-to-audio framework that adds synchronized, spatially aligned sound to world-model-generated environments. It addresses real-time generation, mid-stream interactive sound control, and stereo spatial alignment, matching or beating bidirectional state-of-the-art models on open-domain video-to-audio benchmarks.
A new arXiv paper, WorldSonus, presents an interactive video-to-audio framework that adds synchronized, spatially aligned sound to world-model-generated environments. It addresses real-time generation, mid-stream interactive sound control, and stereo spatial alignment, matching or beating bidirectional state-of-the-art models on open-domain video-to-audio benchmarks.
ReWorld is a new interactive world model that separates control and memory during training, using mixed per-head attention windows and random head routing to handle long-horizon memory while streaming in real time. It addresses the structural tension between short-horizon control and unbounded memory.
ReWorld is a new interactive world model that separates control and memory during training, using mixed per-head attention windows and random head routing to handle long-horizon memory while streaming in real time. It addresses the structural tension between short-horizon control and unbounded memory.