New Peer-Reviewed Paper Provides a How-To Manual for Using ID to Guide Research

biology, biomechanics, Biomimetics, Brian Miller, constraints, Emily Reeves, expectations, function, functional information, genetics, Genetics (journal), George Montañez, intelligence, Intelligent Design, irreducibly complex systems, Jonathan McLatchie, Junk DNA, Michael Behe, neurophysiology, peer-reviewed literature, predictions, protein science, purpose, Research, Robert J. Marks, scientific reasoning, scientific theory, scientists, Stuart Burgess, systematics, Systems Biology, William Dembksi, Winston Ewert
The paper explains what the theory of intelligent design is and how it can be used to generate testable scientific predictions, or “expectations.” Source
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One Week from Today! 2025 Dallas Conference on Science & Faith

All Creatures Great & Small, body plans, Casey Luskin, Dallas Conference on Science & Faith, Daniel Reeves, Discovery Institute, Emily Reeves, eric hedin, Events, Faith & Science, George Montañez, habitat, honeybees, Intelligent Design, John West, Metamorphosis, Michael Egnor, music, Paul Nelson, Ray Bohlin, Richard Sternberg, science and faith, Stephen Dilley, Stephen Meyer
From the smallest honeybee to the greatest whale, planet Earth is swarming with creatures of all shapes and sizes — each designed for their habitat. 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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