At its Shenzhen AI Day event, Baidu Apollo recently pulled back the curtain on Apollo World—an agent-driven, full-modality world model—while introducing a “2+3” framework to judge them by.
In other words, subjecting L4 autonomous driving to near-real trials in a virtual world is exactly what Apollo World sets out to do.
What Really Matters in World Models Goes Beyond Visual Fidelity To understand Apollo World, a more basic question must be settled first: what actually qualifies as a world model?
Image credit: Baidu Apollo The world model first generates an observational frame and passes it to the onboard end-to-end model.
This creates a mutually reinforcing loop: operations yield data, data trains the world model, the world model trains the onboard model, and a stronger onboard model is deployed back into operations.