Isn’t the Waymo version used for some small portion of the dataset to cover edge cases that they have no real data for?

This blog is suggesting that we could train robots using only a world model.

> Do you have a basis for this idea, or it's a gut-feel?

My basis is that I’m a real human and these videos look far more like bad video games than the real life I’ve experienced.

Apologies for the incidindiary wording of my initial concluding question (which I immediately edited to be less flamey, and hopefully more cogent).

> Isn’t the Waymo version used for some small portion of the dataset to cover edge cases that they have no real data for?

The usecases in the blog post[1] paint a much more expansive picture of how Wayne used Genie 3: including enabling transfer learning to convert single-camera dashcam footage into simulated full-take sensor data (multi-camera and Lidar), which is extremely valuable.

> My basis is that I’m a real human and these videos look far more like bad video games than the real life I’ve experienced

1:1 fidelity isn't required for a lot of training tasks; for instance, computer vision can do a lot with 32x32 resolution images, which is trash quality to humans. I think the potential customers for this technology will constrain the model to fit their use cases.

1. https://waymo.com/blog/2026/02/the-waymo-world-model-a-new-f...