^TagComputer science

^{Type
post

Author
Caitlin Cory
Date
April 9, 2024

Categorized
Artificial Intelligence

Tagged
AGI, AI, Artificial Intelligence, ChatGPT, Computer science, Consciousness, COSM, COSM 2023, Futurism, George Gilder, George Montanez, Technology, William Dembski, YouTube}

COSM 2023 Now on YouTube!

_{COSM 2023 explored the nature of artificial intelligence, as well as its future potential and risks.} _{Caitlin Cory

April 9, 2024

3

Artificial Intelligence}

You can now watch the 2023 COSM Technology Summit on YouTube. If you weren’t able to attend, or perhaps you want to revisit some of your favorite speakers, we are now releasing the second tranche of videos for your enjoyment. Click here to go to the COSM 2023 Playlist on YouTube! COSM 2023 explored the nature of artificial intelligence, as well as its future potential and risks. Stephen Wolfram spoke about his efforts to make the world more computable so that computers can help us understand the world. Afterward, George Gilder and Bob Metcalfe joined him in a fascinating discussion about Turing machines, neural networks, and AI-driven language models. A panel featuring William Dembski, Robert Marks, and George Montanez offered Read More ›

Close up cute little child girl spinning a coin to make decision. Heads or tails game.

^{Type
podcast

Author
Robert J. Marks
Date
March 11, 2021

Tagged
Algorithmic Information Theory, Computer science, Fermat's Last Theorem, Gregory Chaitin, Kurt Gödel, Mathematics, Randomness}

The Chaitin Interview II: Defining Randomness

_{Robert J. Marks

March 11, 2021

2}

In the 1960s, mathematician and computer scientist Gregory Chaitin published a landmark paper in the field of algorithmic information theory in the Journal of the ACM – and he was only a teenager. Listen in as Robert J. Marks explores that paper with Chaitin, covering Chaitin’s definition of randomness and his philosophical interest in algorithmic information theory. Show Notes Additional Read More ›

Close-up Shot of a Hand Holding Chalk and Writing Complex and Sophisticated Mathematical Formula/ Equation on the Blackboard.

^{Type
podcast

Author
Robert J. Marks
Date
March 4, 2021

Tagged
Algorithmic Information Theory, Computer science, Gregory Chaitin, Kurt Gödel, Leonard Euler, Mathematics}

The Chaitin Interview I: Chaitin Chats with Kurt Gödel

_{Robert J. Marks

March 4, 2021

2}

In this week’s Mind Matters episode, Robert J. Marks begins a conversation with mathematician and computer scientist Gregory Chaitin. The two discuss Chaitin’s beginnings in computer science, his thoughts on historic scientists in his field such as Leonard Euler and Kurt Gödel, and even the story of how a cold call to Gödel almost led to Chaitin meeting the famed Read More ›

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 ›

^{Type
post

Author
Robert J. Marks
Date
March 19, 2019

Categorized
Natural Intelligence

Tagged
_longform, Computer science, Featured, Mathematics}

Things Exist That Are Unknowable

_{A tutorial on Chaitin's number} _{Robert J. Marks

March 19, 2019

14

Natural Intelligence}

The mathematically provable idea that something exists but is unknowable has clear philosophical and theological implications.