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...