Foundational Models for Autonomous Driving

We have hundreds of thousands of examples where we have been failing in the past that we have curated. For any new model, we test against the entire history of these failures and then keep adding to this test set. On top of this, we have shadow modes where we ship these models in silent to the car and we get data back on where they are failing or succeeding. And there's an extensive QA program. It's very hard to ship a regression. There's like nine levels of filters before it hits customers. But then we have really good in front to make this all efficient. I'm one of the QA testers. So I have QA the car like a... Yeah