The interviewer says vision and flow models can use sophisticated inference, including latent-space or decoder search for programs that solve ARC tasks, along with test-time computation and adaptation.

“With these vision models and when we're using flow models and stuff like that, we are actually doing.”

“actually doing like quite sophisticated inferencing processes and I interviewed Clement Bonet he had this searching latent spaces paper and he was kind of like searching a decoder to actually find the best programs to generate for Ark and we've got this whole you know and test time computation test time adaptation and so on so this whole thing about doing work at inference time is very exciting to me and I just don't think that that many people are talking about it.”