The speaker expects different task types to diverge in difficulty; if AI labs view recursive self-improvement as cumulative and not dependent on new architectures, they may allocate increasing effort and compute to it.

“time you have like all these like implicit like ways about how things are done where to find information etc and like that's not as clean of an example of a cumulative task as like RSI is so I think that there will be this breakdown between tasks but you know like if the labs realize that and they do believe that RSI is cumulative in the sense that like we don't need to go back and discover some brand new like architect or whatever then maybe more and more effort and compute gets focused on that versus the”