I see a pattern emerging here: One phase of an enterprise producing training data for another phase of the enterprise to create massive automation.

In this case, it's Lyft and GM joining forces, but this kind of partnership can (and should) happen between a company good at logistics to produce training data quickly and efficiently and a company good at turning that into data products.

Some companies are good at/doing both in-house: Amazon (E-Commerce and IaaS), Google (self-driving cars and search), Facebook (The world's most addictive website) are some of the examples.

If I were a small group of AI powerhouse, I'd definitely consider approach bigger companies with excellent logistics producing rich data.