Google DeepMind connects Project Genie to Street View, creating AI simulations of real places

Reviewed byNidhi Govil

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Google DeepMind announced at I/O that Project Genie now integrates with Street View's 280 billion images across 110 countries. Users can generate interactive virtual environments based on real locations, adjusting weather or styles like underwater or desert themes. The AI world model serves dual purposes: training robots and self-driving cars on rare scenarios, and letting consumers explore reimagined versions of actual streets.

Google DeepMind Merges Project Genie with Two Decades of Street View Data

Google DeepMind revealed at the Google I/O developer conference that Project Genie, its generative AI world model, now connects to Google Street View imagery spanning 20 years of data collection

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. The Street View integration allows users to generate interactive virtual environments anchored to real-world locations, drawing from more than 280 billion images captured across 110 countries and seven continents

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. This AI world model capability transforms static street photography into explorable, AI-generated simulations that users can navigate in real time

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Source: 9to5Google

Source: 9to5Google

Users can now tap a Maps pin within Project Genie to select a location in the United States, then apply creative styles like "Ocean World," "Desert Sands," or "Stone Age" to reimagine familiar places

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. For instance, demonstrations showed the Golden Gate Bridge transformed into an underwater scuba scene complete with fish and divers

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. The feature uses Maps Imagery Grounding technology to anchor these text-to-video creations in actual geographic locations

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Source: CNET

Source: CNET

Robotics Training and Self-Driving Car Simulators Gain Real-World Context

The simulations of real-world locations serve critical applications beyond consumer exploration. Jack Parker-Holder, a research scientist on DeepMind's open-endedness team, explained that the technology addresses practical robotics training challenges

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. A robot deployed in London, which rarely sees sunshine, could train on simulations showing how sunlight glints off Victorian housing, preventing the system from being confused when rare sunny conditions occur

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Genie 3 already powers one of Waymo's self-driving car simulators, where it trains autonomous vehicles on exceedingly rare events like tornadoes or unexpected elephant encounters

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. The Street View integration adds geographic specificity that existing Waymo simulators lack, allowing the system to shift perspectives from the car's viewpoint to other agents like pedestrians or robots

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. This simulation-to-reality pipeline has become a critical bottleneck in physical AI development, with companies including Nvidia and Cadence racing to close the gap between virtual training and real-world performance

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Source: TechCrunch

Source: TechCrunch

Global Rollout to Google AI Ultra Subscribers Expands Access

Project Genie is rolling out globally to all adult Google AI Ultra subscribers starting today, following its January debut limited to United States users

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. The Street View capability launches first for some Ultra users in the United States, with access expanding at scale over time and to global Google AI Ultra subscribers over the next few weeks

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. The service costs $200 and requires users to be 18 years or older

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Diego Rivas, a product manager at DeepMind, emphasized that both the Street View integration and Project Genie remain experimental, with significant room for improvement in accuracy

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. Current results look closer to video game quality than photorealistic renderings

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. The models are not yet physics-aware, meaning they don't understand cause and effect—in one demonstration, a character ran straight through cacti without consequence

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Spatial Continuity Marks Technical Breakthrough Despite Physics Limitations

Jonathan Herbert, director of Google Maps, identified spatial continuity as the real breakthrough in virtual worlds generation

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. When users turn 360 degrees inside a Genie environment, the AI correctly remembers and maintains what exists behind them rather than regenerating the space from scratch

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. This spatially continuous model allows the system to build new environments on top of coherent geographic foundations

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Parker-Holder estimated that interactive world generation currently trails video generation technology by roughly six to 12 months in terms of accuracy and quality

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. For comparison, Google's Veo video generator already understands that paper boats drift on water currents and fabric drapes over forms, while its Nano Banana tool can generate perfect text in infographics

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. Physics isn't hard-coded into these models but learned intuitively through passive observation over time

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. As DeepMind continues refining the technology, the Street View dataset represents a competitive advantage that no other AI lab can easily replicate

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