The Matters that Matter: What I Learned from My Brother’s Death

accolades, Artificial Intelligence, atoms, biological origins, career, chemical reactions, cognitive simulation, community, Computational Sciences, computer science, cosmos, cremation, death, design detection, Faith & Science, faith and science, Intelligent Design, Love, machine learning, materialist paradigm, mathematics, motorcycle, natural theology, nature, peers, Resurrection, tears, unguided processes, universe, YouTube videos
I’ve built my professional career on twin pillars. The first is cognitive simulation, that is, artificial intelligence and machine learning. Source
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Michael Levin and the Philosophy of Intelligent Design

AI Overview, Archaeology, art, Bas van Fraassen, biology, ChatGPT, complex specified information, computation, computer science, Conservation of Information, control, cryptography, Darwinian theory, Discovery Institute, Ernest Nagel, experiment, fecundity, forensics, function, gnana yoga, Grok, Hinduism, ID 3.0 Research Program, Imre Lakatos, information, Intelligent Design, James Tour, James Woodward, Karl Popper, large language models, Larry Laudan, Law, Lex Fridman, living things, materialism, mathematics, mechanism, methodological naturalism, Michael Levin, Nancy Cartwright, naturalism, ontology, origin of life, patterns, Paul Feyerabend, philosophy, Philosophy of Science, Pierre Duhem, Plato, Platonic space, pseudoscience, Richard Dawkins, Sandra Mitchell, scientific theory, SETI, steganography, Stephen Meyer, testability, testing, thermostats, Thomas Kuhn, Tufts University, Willard Van Orman Quine
Levin is not a reflexive Darwinian materialist. Moreover, he touches on many themes that intelligent design theorists touch on. Source
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Life as Computation: An AI Researcher’s (Unwitting) Argument for Intelligent Design

AI, Alan Turing, Antikythera, binary arithmetic, Blaise Agüera y Arcas, central processor, codons, Complexity, computation, Computational Sciences, computer science, computers, DNA, Google, Intelligent Design, John von Neumann, logic gates, MIT Press Reader, programmers, Universal Machine, What Is Intelligence?
How many computer geniuses did it take in order to produce even a tiny fragment of this complexity? And how great must be the mind that designed all this! Source
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How Understanding Points Beyond Physicalism

algorithms, Aristotle, Artificial Intelligence, brain processes, Brown University, cognitive science, computational mechanics, computationalism, computer science, computers, Epistemology, humans, Intellect, James F. Ross, John McCarthy, John Searle, Life Sciences, mind, modus tollens, Neuroscience & Mind, Pat Flynn, philosophy, Roderick Chisholm, Selmer Bringsjord, Thomas Aquinas, triangularity
A computer science professor shows, using logic, how you must be more than mere matter. Source
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Conservation of Information: The History of an Idea

Ada Lovelace, Analytical Engine, BIO-Complexity, Celestial Mechanics, Charles Babbage, closed system, computer science, Conservation of Information, Edgar Allen Poe, Energy, Evolution, H. A. Rowland, Intelligent Design, large language models, Law of Conservation of Information, Léon Brillouin, Leonard Susskind, Library of Alexandria, Maelzel’s Chess Player, Peter Medawar, physics, Physics, Earth & Space, Pierre-Simon Laplace, Robert J. Marks II, search, search algorithm, The Limits of Science
Conservation of information” is a term that appears in both the physics and the computer science literature. Source
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Must AI Inevitably Degenerate into Nonsense, through “Model Collapse”?

Artificial Intelligence, Arxiv.org, Baylor University, cats, ChatGPT, computer science, COSM 23, Creativity, Culture & Ethics, Denyse O'Leary, Dogs, gene pool, George Montañez, Harvey Mudd College, humans, inbreeding, jackrabbits, large language models, model collapse, Neuroscience & Mind, nonsense, Popular Mechanics, Pornography, recursion, Robert J. Marks, Walter Myers, William Dembski
AI works because humans are real creative beings, and AIs are built using gigantic amounts of diverse and creative datasets made by humans. Source
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Dangerous Skating: Kauffman, Jaeger, and Roli on the Need for a New Teleology

agency, Andrea Roli, biology, computer science, economy, ecosystems, Engineering, Evolution, Frontiers in Ecology and Evolution, innovation, Intelligent Design, Johannes Jaeger, mechanistic science, naturalism, ontology, Philosophy of Science, scholars, scientific knowledge, Siberia, skating, social sciences, Stuart A. Kauffman, teleological behavior, teleology
Openly breaking with naturalism can get one dispatched to the gulag of intelligent design. For most scholars, that is a one-way trip to academic Siberia. Source
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Marks: Non-Computable You Won’t Achieve Immortality Through an AI Machine

Alan Turing, algorithms, Baylor University, Church-Turing Thesis, computation, computer science, computers, consciousness, Creativity, Dallas Conference on Science and Faith, emotion, faith, Faith & Science, future, human exceptionalism, humans, immortality, Intelligent Design, machines, mathematicians, Neuroscience & Mind, Non-Computable You, qualia, Ray Kurzweil, Robert J. Marks, sentience, Singularity, speed, spirituality, Turing Machine, understanding, William Dembski
Dreams of achieving immortality by having your consciousness uploaded, merging man and computer in the predicted 2045 “Singularity,” are just that — dreams. Source
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Can Artificial Intelligence Be Creative?

Ada Lovelace, Alan Turing, chatbot, computer science, computers, Creativity, English, Eugene Goostman, George Gordon, Go (game), Intelligent Design, Lord Byron, machines, Neuroscience & Mind, Non-Computable You, programmers, Selmer Bringsjord, software, swarms, The Carpenters, The Imitation Game, trickery, Turing test, Ukrainians
Lady Ada Lovelace (1815–1852), daughter of the poet George Gordon, Lord Byron, was the first computer programmer. Source
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