The effort required to advance through each successive rung of the proposed reinforcement-learning environment ladder grows roughly exponentially.

“each successive wrong grows like kind of exponentially um and that's going to be the two things that you have to trade off against as to whether like like how fast we're going to hit like that final wrong where it's where it's better um i i think that's fairly clear and i think there's like you know we're still relatively early in like our environment creation like there's a lot of asymmetries that we exploit in order to create good environments so one of those asymmetries which we've talked about before is like it's”