DeepMind Debuts Genie 3 for Real-Time Text-to-3D World Generation
A new generation of world models is here. DeepMind’s Genie 3 turns text prompts into playable 3D environments at 24 fps with persistent memory and interactive elements. While still in research preview, it represents a major step toward AI agents that can learn and act in open-ended virtual worlds.

DeepMind has unveiled Genie 3, its most advanced world model to date. This system can transform a single text prompt into an interactive 3D simulation in real time, complete with coherent object placement, emergent memory, and dynamic events like changing weather. The output runs at 720p and 24 frames per second, pushing the boundaries of what generative AI can render and maintain over time.
The implications extend beyond graphics. Genie 3 supports embodied agents like DeepMind’s SIMA, allowing AI to train in synthetic environments with increasing realism. Developers can tweak scenes mid-simulation, enabling new research directions in continual learning and simulation-based reinforcement learning. For AI researchers, game developers, and virtual educators, it hints at a powerful future where simulations are not authored, but generated.
Though Genie 3 is not yet publicly released, its capabilities signal DeepMind's intent to dominate the world model space. With real-time generation, memory persistence, and interactive physics, Genie 3 edges closer to the kind of dynamic environments required for generalist AI systems.
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