If you could turn the streets you're familiar with into a game world, how would you play?
At this I/O, Google DeepMind offered an answer: connecting Project Genie with Google Street View, allowing this general world model to generate interactive virtual environments anchored directly in real streetscapes. This isn't a simple texture swap — it's the first time AI can see real streets, then use its way of understanding the world to reconstruct a digital twin ready for exploration.
The capability is backed by a technology called Maps Imagery Grounding. Street View has accumulated nearly 20 years of real-world imagery, covering 110 countries with more than 28 billion images — a volume of data that's never been systematically injected into a world model's training pipeline. Genie doesn't simply treat these images as texture material, but as reality anchors, learning the structural rules of real space: how intersections turn, how shadows cast, how weather changes a street's atmosphere. On this basis, users can pick style presets (e.g., ocean world or black-and-white cinema), and Genie will use the real location as the starting point to generate a stylized, interactive world.
World models have always been a core topic for embodied intelligence and autonomous driving: robots need to complete extensive training in simulation before real-world deployment. Traditional simulation environments either rely on manual modeling with high cost, or are over-simplified with a sim-to-real gap — skills learned in simulation often fail when executed on real hardware. Project Genie's approach offers a new direction: using massive real imagery + generative world models to build an intermediate layer between manual simulation and pure real data. Waymo has already taken the lead in using Genie to simulate autonomous-driving decisions in extreme road conditions — for example, training the system to handle rare direct-sunlight scenarios, without actually waiting for that moment to appear.
The significance of this update isn't that ordinary users can go diving in front of their own homes, but that it validates a path to scale physical-world simulation data. The industry used to broadly believe that the only way to train an AI that could reliably run in the real physical world was massive real-robot data — a barrier that deterred many companies. If Genie + Street View can prove that world models driven by real imagery can significantly close the sim-to-real gap, the impact will extend far beyond an I/O demo, directly lowering the bar for the entire embodied-intelligence industry.
The challenges along this road are real: Street View currently only covers the US, and expanding real-imagery assets globally will require more complex geographic-information and update mechanisms. Additionally, ensuring physical consistency in generated environments remains unsolved. But regardless, Google is pulling world models from the imagined world toward the real world — this step matters.