ARC-AGI's learning-efficiency approach draws inspiration from a Josh Tenenbaum paper that the speaker believes was published in 2021.

“The other thing I wanted to show you really quick is going back to that learning efficiency piece. We're actually taking inspiration from a Josh Tenenbaum paper that came out.”

“um in 2000 i think it was 2021 and they actually this is this is a little bit of the same thing they they're not doing the exact same test that we have but you can see that there's number of steps for these games number of steps taken by agents and the number of levels that they were able to do and then they started to differentiate between the um like human players and ai players now our games are going to be different it's going to look completely different but this is the chart that i have in mind for when we go and start to report the efficiencies here”