Despite hype and success, Machine/Deep Learning have their own limitations, which is a generally admitted fact. At a fundamental level - are our brains actuall

Despite hype and success, Machine/Deep Learning have their own limitations, which is a generally admitted fact. At a fundamental level - are our brains actually comparable to how ML works (beyond some basic analogies)? Do we have an statistical engine running inside our heads, needing tremendous "CPU power" to do something remotely useful/accurate? I'd say that no, and that that conceptual mismatch indicates that the next big iteration on AI will be something more like what D. Hofstadter advocates/researched. (Using ML as a sidekick, why not. No need to trash out the current progress)