AI researcher Herbie Bradley reframes recursive self-improvement as a loop that closes across the economy, not inside one lab: "My current sense is this is actually just going to be very data bottlenecked. Suppose you get the AI to be as good as Ilya at AI research. You still need to get that AI to train itself to be as good as a senior investment banker at Goldman Sachs, or a senior lawyer, and these are just very, very data bottlenecked right now." "If you speak to any of the RL alignment…