^Tagalgorithmic intelligence

silhouette of virtual human on abstract technology 3d illustration

^{Type
podcast

Author
Robert J. Marks
Date
September 30, 2021

Tagged
Alan Turing, algorithmic intelligence, Algorithms, Artificial General Intelligence (AGI), Artificial Intelligence, Big Data, code-breaking, Colossus computer, Connectome, Data Mining, DeepMind, Ergodicity, front running, Gaming AI, Gaming AI (book), George Gilder, Gregory Chaitin, John von Neumann, Kurt Gödel, Lee Sedol, life after google, mind, Mind Brain, Mind-Brain Distinction, Nematode worm, Neural networks, protein folding, Ray Kurzweil, Robert J. Marks, stock market, Tony Stretton, Turing Machine, zettabyte}

George Gilder: An Economic Genius Talks About Gaming AI

_{Robert J. Marks

September 30, 2021

2}

George Gilder talks to Robert J. Marks about his book Gaming AI: Why AI Can’t Think but Can Transform Jobs. Show Notes Additional Resources

Professional Japanese Development Engineer is Testing an Artificial Intelligence Interface by Playing Chess with a Futuristic Robotic Arm. They are in a High Tech Modern Research Laboratory.

^{Type
podcast

Author
Robert J. Marks
Date
October 22, 2020

Tagged
Alan Turing, algorithmic intelligence, Algorithms, AlphaFold, Artificial Intelligence, code-breaking, Colossus computer, DeepMind, Gaming AI (book), George Gilder, Go (game), Lee Sedol, materialist superstition, mind, protein folding, Ray Kurzweil}

George Gilder on Gaming AI

_{Robert J. Marks

October 22, 2020

1}

AI is good at winning games. But how does this (and other) accomplishments translate to applications in the real world? George Gilder and Robert J. Marks discuss artificial intelligence, games, and George Gilder’s new book Gaming AI: Why AI Can’t Think but Can Transform Jobs (which you can get for free here). Show Notes Additional Resources

close-up view of robot playing chess, selective focus

^{Type
podcast

Author
Robert J. Marks and Larry L. Linenschmidt
Date
August 27, 2020

Tagged
AI Delusion (book), Alan Turing, algorithm, Algorithm-of-the-Gaps, Algorithmic Information Theory, algorithmic intelligence, AlphaGo, Ambiguity, Artificial Intelligence, China, Chinese Room, Computer History, Computer science, Creativity, David Gelernter, Deep Blue, Deep Learning, ethics, Gary Smith, George Gilder, Go (game), human brain, hype, IBM Watson, Jay Richards, Larry L. Linenschmidt, Neural networks, non-algorithmic, Peter Thiel, qualia, Quantum Computing, Reinforcement learning, Robert J. Marks, self-driving cars, STEM fields, Supercomputers, Swarm intelligence}

Bingecast: Robert J. Marks on the Limitations of Artificial Intelligence

_{Robert J. Marks and Larry L. Linenschmidt

August 27, 2020

2}

Robert J. Marks talks with Larry L. Linenschmidt of the Hill Country Institute about nature and limitations of artificial intelligence from a computer science perspective including the misattribution of creativity and understanding to computers. Other Larry L. Linenschmidt podcasts from the Hill Country Institute are available at HillCountryInstitute.org. We appreciate the permission of the Hill Country Institute to rebroadcast this Read More ›

^{Type
podcast

Author
Larry L. Linenschmidt and Robert J. Marks
Date
December 12, 2019

Tagged
Alan Turing, algorithm, Algorithmic Information Theory, algorithmic intelligence, Artificial Intelligence, Computer History, Computer science, Deep Learning, Go (game), human brain, hype, Larry L. Linenschmidt, Neural networks, non-algorithmic, Quantum Computing, Reinforcement learning, Robert J. Marks, STEM fields, Supercomputers}

Gee-Whiz Tech and AI Reality – Part I

_{Larry L. Linenschmidt and Robert J. Marks

December 12, 2019

1}

Robert J. Marks talks with Larry L. Linenschmidt of the Hill Country Institute about the nature and limitations of artificial intelligence from a computer science perspective. This is Part 1 of 2 parts. Other Larry L. Linenschmidt podcasts from the Hill Country Institute are available at HillCountryInstitute.org. We appreciate the permission of the Hill Country Institute to rebroadcast this podcast Read More ›

An array of symbols from the National Archives, Hämeenlinna, Finland

^{Type
post

Author
Eric Holloway
Date
February 26, 2019

Categorized
Artificial Intelligence, Philosophy of Mind

Tagged
_longform, algorithmic intelligence, Featured, halting problem, Levin's Law}

Artificial Intelligence Must Be Possible! Really…?

_{Many arguments for strong artificial intelligence depend on an ideological commitment to explicit, unproven theories about the universe} _{Eric Holloway

February 26, 2019

11

Artificial Intelligence, Philosophy of Mind}

Not only is it valid to ask whether artificial intelligence is impossible but the argument can be pursued on a scientific basis with quantifiable, empirical evidence.