ID the Future Intelligent Design, Evolution, and Science Podcast
Topic

Machine learning

protein
Chain of amino acid or bio molecules called protein - 3d illustration

Powerful Protein Folding Algorithm AlphaFold Foiled by Singletons

Today’s ID the Future spotlights AlphaFold, an artificial intelligence program in the news for its impressive breakthroughs at predicting a protein’s 3D structure from its amino acid sequence. Philosopher of Biology Paul Nelson walks listeners through the importance of this “amazing breakthrough,” as he describes it in a recent Evolution News article; but don’t uncork the champagne bottles just yet. The reason, according to Nelson, is that while proteins, protein sequences, and protein folding promise to reveal much that is still mysterious in molecular biology, we now know that biological information involves far more than just an organism’s proteome—that is, far more than the full suite of proteins expressed by an organism. Nelson uses analogies to manmade machines and cognates among closely and distantly related human languages to shed light on just how much more sophisticated the biological information directing life is than any model narrowly fixated on DNA, the amino acids DNA codes for, and the protein formed from those amino acids. Nelson further explains that, as powerful as the AlphaFold algorithm is, it has not solved the protein-folding problem, if we take such a solution to mean “predicting the three-dimensional conformation of a protein strictly from its primary DNA sequence, ab initio.” The clearest evidence of this: the algorithm is utterly stymied by sequence “singletons.” What are these curious sequences, why do they baffle AlphaFold, and why do these singletons trouble some evolutionists? Tune in as Nelson and host Eric Anderson explore this problem at the leading edge of biological research.

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Jay Richards Interviewing Gale Pooley at COSM 2019

Jay Richards at COSM Talks Kurzweil and Strong AI

On this episode of ID the Future, Andrew McDiarmid catches up with philosopher Jay Richards at the recent COSM conference in greater Seattle. The two discuss the history of George Gilder’s Telecosm conferences and how the first one gave birth to a book Richards edited and contributed to 18 years ago, Are We Spiritual Machines? Ray Kurzweil vs. the Critics of Strong A.I. Is the “singularity” coming, as Kurzweil argues there and elsewhere, when machines equal and then quickly surpass human intelligence? Does “machine learning” really mean learning? Will “Skynet” wake up? Jay describes Kurzweil’s sunny version of strong AI and the dystopian version. Then he argues the other side, namely that human beings possess something beyond the purely material, something even the most powerful computers will never possess.

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Kissinger and AI, Pt. 2: Jay Richards Presses Pause on the Robot Apocalypse

On this episode of ID the Future, philosopher Jay Richards continues his conversation with host and historian of science Mike Keas about Henry Kissinger’s recent Atlantic article on “The End of the Enlightenment.” In the piece, Kissinger sounds an alarm over artificial intelligence, and raises questions about machine ethics and the possibility that humans may learn we’re not so special after all. Richards, author of the new book The Human Advantage: The Future of American Work In an Age of Smart Machines, pushes back, explaining how we can continue to use artificial intelligence to our advantage, prudently but without fear of the robot apocalypse or of computers becoming conscious and free. No, Richards argues, those qualities cannot be programmed. They are, and will remain, the human advantage.

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Jay Richards Responds to Henry Kissinger on the New World of Artificial Intelligence

On this episode of ID the Future, Jay Richards talks with host Mike Keas about a recent Atlantic article from former National Security Advisor Henry A. Kissinger on “How the Enlightenment Ends” with the rise of artificial intelligence. Richards, whose forthcoming book The Human Advantage: The Future of American Work In an Age of Smart Machines, covers this territory and more, explains that AI is about statistical processing, not budding consciousness; and the ethical concerns it raises are both important yet in some ways not so new.

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