This year’s CoRL was the biggest CoRL yet, with over 900 attendees, 11 workshops, and almost 200 accepted papers. While there were a lot of cool new ideas (see this great set of notes for an overview of technical content), one particular debate seemed to be front-and-center: “is training a large neural network on a very large dataset a feasible way to solve robotics?”. Of course, some version of this question has been on researchers’ minds for a few years now1. However, in the aftermath of the u...