Why are so few researchers pursuing Real AI?
• The importance of general intelligence is not appreciated • Poor epistemology – a proper understanding of grounding, focus and selection, concepts, context, etc. is needed to appreciate embedding, vector encoding, activation spreading, multi-sense, etc. • Poor understanding of key concepts – getting stuck on: consciousness, volition, meaning, representation/ world-model, emotions, common-sense, ‘qualia • Poor understanding of ‘intelligence’: Knowledge (CYC) versus two-way interactive, adaptive learning. Also, missing the importance of abstract cognition • Not appreciating the central importance of patterns – especially dynamic ones (entities, attributes, concepts, actions, thoughts, etc.) • Too little emphasis on adaptive output/ actuation capability • Too much focus on copying/ reverse-engineering the brain – biological feasibility • Too much focus on high-level abilities (logic, language, creativity, etc.) • Performance expectations too high for any specific functionality (vision,
• The importance of general intelligence is not appreciated • Poor epistemology – a proper understanding of grounding, focus and selection, concepts, context, etc. is needed to appreciate embedding, vector encoding, activation spreading, multi-sense, etc. • Poor understanding of key concepts – getting stuck on: consciousness, volition, meaning, representation/ world-model, emotions, common-sense, ‘qualia • Poor understanding of ‘intelligence’: Knowledge (CYC) versus two-way interactive, adaptive learning.
