I think the predictive framework is a fairly universal one. You could always as a thought experiment feed a predictor all sensory experience humans ever had, an

I think the predictive framework is a fairly universal one. You could always as a thought experiment feed a predictor all sensory experience humans ever had, and provided this predictor works in a manner in some sense optimal it could answer whatever question at least as well as any person. Likewise we can already simulate fairly large biochemically accurate neural networks, and it seems a scaling in power would lead to an AGI. The problem with the previous models is their inefficiency. It does seem to indicate a lack of understanding of fundamentals -- i.e. you can brute force essentially every well defined problem in CS, yet we don't declare them solved modulo some time for computing power progress.