
What happened
Niantic Spatial CTO Brian McClendon says the company is using its trove of world data to reconstruct the real world in 3D, giving robots simulated training grounds where they can run millions of simulations.
Why it matters
By letting robots practice in realistic digital replicas instead of physical spaces, this approach could reduce the need for real-world testing and speed up how quickly robots adapt to new environments.
Summaries like this, every morning.
Niantic's path to world models runs through Pokémon Go. The game, built around mixed-reality characters, generated scans of players' environments that the company now sees as a foundational data trove. After selling the game last year, Niantic pivoted to Niantic Spatial, with CTO Brian McClendon describing the mission as "very much about reconstructing the real world."
The technology is drawing interest beyond robotics. Wayve's Jamie Shotton says a world model must understand physics, cause and effect, and how other objects and people react to actions. Wayve uses dashcam footage to recreate hazardous roads that would be impractical to test in real life. Tencent is investing in world models for video games, where physics and 3D rendering are core.
Investors are placing large bets. Yann LeCun, Meta's former chief AI scientist, raised over a billion dollars for his Advanced Machines Intelligence startup, and AMD acquired Fei-Fei Li's World Labs for over $8 billion this year. Meanwhile, the data behind these models is being collected by gig workers, a labor market that may expand as companies seek more real-world video.
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