Brad, Your post describes your position *very* well, thanks.
But, it does not describe *how* or *why* your AI system might achieve domain expertise any faster/better/cheaper than other narrow-AI systems (NLU capable, embodied, or otherwise) on its way to achieving networked-AGI. The list would certainly benefit from any such exposition! On a smaller point of clarification, the OCP 'embodied' design will not attempt to "simulate deep human behavior", but rather kluge "good enough" humanesque and non-humanesque embodiment to provide *grounding* for "good enough" solutions in a wide variety of situations (sub-adult performance in some situaitons and better-than-genius performance in others) including NLU, types of science that require massive information synthesis and creative leaps in thinking (inlcuding in non-everday-human contexts such as nanoscopic quantum scales or macroscopic relativistic scales), plus other interesting areas such as industry, economics, public policy, arts, etc. -dave ------------------------------------------- agi Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: https://www.listbox.com/member/?member_id=8660244&id_secret=114414975-3c8e69 Powered by Listbox: http://www.listbox.com
