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Waymo World Model

By Waymo
The Waymo World Model is a generative world model for autonomous driving simulation. It learns a compact representation of city-scale scenes and traffic dynamics from Waymo’s driving data, then simulates realistic multi-agent behaviors, weather and rare events. This lets Waymo generate challenging, diverse scenarios for training and validating self-driving systems safely in simulation.
New Multimodal Gen 3
Released: February 6, 2026

Overview

Generative world model used to simulate diverse driving scenarios for autonomous vehicle training, learning physics-aware city-scale dynamics to synthesize realistic traffic, weather and rare edge cases safely in silico.

About Waymo

Every year, 1.4M lives are lost to traffic crashes around the world. The status quo is not acceptable. Waymo is committed to holding safety to a higher standard. Because when we do, we make space for people to get around in a whole new way. On this path, we aim to offer freedom of movement for all, create a sustainable, efficient transportation ecosystem, and make the planet better than we found it.

Website: waymo.com
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Tools using Waymo World Model

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Last updated: February 10, 2026
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