"depends on how you define "step". Engineer a 10x/100x version of what we have in terms of LLM (either by being more efficient and/or more/specialized hardware)

"depends on how you define "step". Engineer a 10x/100x version of what we have in terms of LLM (either by being more efficient and/or more/specialized hardware) and let this thing build novel attempts for AGI algorithms 24/7 in a evolutionary setting." The current LLM's get stuck in loops when a problem is too hard for it. They just keep doing the wrong thing over and over. It's not obvious this sort of ai can "build novel attempts" at hard problems.