Waymo gives world models a real-world purpose

Feb 6, 2026

11:00pm UTC

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s world models gain momentum, Waymo might be putting this lofty tech to good use.

On Friday, the robotaxi firm unveiled the Waymo World Model, a generative model for “large-scale, hyper-realistic” autonomous driving simulation. Waymo’s model is built on Google's Genie 3, the latest iteration of its world model series, released in August.

The model’s architecture allows the engineers to better modify and control the scenes it generates using language, allowing for everything from time-of-day or weather condition changes to entire synthetic scene generation with simple language prompts. The model can also convert authentic dashcam videos into synthetic scenes for training.

With the Waymo World Model, the company leveraged Genie’s ability to generate photorealistic, interactive 3D environments, applying it specifically to the “driving domain.” This allows the world model to generate rare events, including:

  • An elephant appearing in the middle of the road;
  • Being chased down a freeway by a tornado;
  • And driving through a tropical city that happens to be covered in snow.

This kind of training could help prepare Waymo to scale across new locations and driving environments, potentially even allowing the robotaxis to better handle natural disasters.

The company has faced scrutiny for its safety practices in recent weeks after one of its vehicles struck and injured a child in California. In a hearing this week, Waymo’s Chief Safety Officer Mauricio Peña acknowledged that the company relies on remote operators overseas for “guidance in certain situations,” but these operators do not pilot the vehicles themselves.

“By simulating the 'impossible', we proactively prepare the Waymo Driver for some of the most rare and complex scenarios,” The company said in its announcement.

Waymo’s model adds to growing enthusiasm for world models. Google last week released Project Genie, an “experimental research prototype” built on Genie 3 that lets users create and explore virtual worlds and video game-like environments. World model startups from AI pioneers like Fei-Fei Li and Yann LeCun are also in talks for massive funding rounds as investors search for the next big thing after LLMs.

Our Deeper View

Many of AI’s foremost thinkers have cast doubt on the idea that scaling large language models is the key to achieving artificial general intelligence, arguing instead that models need a sense of real-world environments and physics to achieve human-level performance. However, with the viability and practicality of AGI itself up for debate, world models face the same existential question as large language models: How useful will this tech actually be? Though the developers of these systems tout a vast number of theoretical use cases, Waymo wading into world models for self-driving vehicles is one of the first tangible examples of giving this technology a purpose.