Earlier quoted context omitted.
The entire idea of RSI is completely speculative and unproven anyway - the whole underlying claim is that you could prompt a frontier model (at some unspecified level of smarts) to "think about ways to improve your own architecture" and this would then result in the model becoming infinitely smart ("superintelligent") via some sort of foolproof, unconstrained positive feedback. It's more of a science fictiony trope t…
My personal belief, or at least strong hypothesis, is that this kind of recursive self improvement without real world embodied feedback of some kind is impossible. I think it violates a conservation law. RSI “foom” to superintelligence is an informatic analog to an infinite energy or perpetual motion machine. To get smarter you must try to solve real problems in the universe and then do some kind of meta learning (na…
If the algorithms are insufficiently optimum or the recorded knowledge is of insufficient fidelity, then we'd find ourselves at a local optimum and would need to interface with reality.
A huge part of learning is to probe reality and observe effects, so I think even for current RSI to increase chances of success we would structure it so it can interact with an external environment of some sort, and receive inputs. It would be needlessly limiting otherwise.