Jim talks with Ben Goertzel about the ideas in his recent essay "Three Viable Paths to True AGI." They discuss the meaning of artificial general intelligence, Steve Wozniak's basic AGI test, whether common tasks actually require AGI, a conversation with Joscha Bach, why deep neural nets are unsuited for human-level AGI, the challenge of extrapolating world-models, why imaginative improvisation might not be interesting to corporations, the 3 approaches that might have merit (cognition-level, brain-level, and chemistry-level), the OpenCog system Ben is working on, whether it's a case of "good old-fashioned AI," where evolution fits into the approach, why deep neural nets aren't brain simulations & attempts to make them more realistic, a hypothesis about how to improve generalization, neural nets for music & the psychological landscape of AGI research, algorithmic chemistry & the origins of life problem, why AGI deserves more resources than it's getting, why we may need better parallel architectures, how & how much society should invest in new approaches, the possibility of a cultural shift toward AGI viability, and much more.

Episode Transcript
"Three Viable Paths to True AGI," by Ben Goertzel (Substack)
JRS Currents 025: Ben Goertzel on Decentralizing Social Media
JRS EP3 - Dr. Ben Goertzel – OpenCog, AGI and SingularityNET
JRS EP87 - Joscha Bach on Theories of Consciousness
JRS EP25 - Gary Marcus on Rebooting AI
OpenCog Hyperon
"Algorithmic Chemistry," by Walter Fontana
JRS EP 167 - Bruce Damer on the Origins of Life

Dr. Ben Goertzel is Chief Scientist of robotics firm Hanson Robotics and financial prediction firm Aidyia Holdings; Chairman of AI software company Novamente LLC and bioinformatics company Biomind LLC; Chairman of the Artificial General Intelligence Society and the OpenCog Foundation; Vice Chairman of futurist nonprofit Humanity+; Scientific Advisor of biopharma firm Genescient Corp.; Advisor to the Singularity University and Singularity Institute; Research Professor in the Fujian Key Lab for Brain-Like Intelligent Systems at Xiamen University, China; and general Chair of the Artificial General Intelligence conference series. His research work encompasses artificial general intelligence, natural language processing, cognitive science, data mining, machine learning, computational finance, bioinformatics, virtual worlds and gaming and other areas. He has published a dozen scientific books, 100+ technical papers, and numerous journalistic articles.