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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Requiem for an Artificial Superintelligence

Alexandria, artificial general intelligence, artificial superintelligence, arts, batteries, Brownshirts, Caltech, competition, Computational Sciences, Elliot Pryce, Engineering, ethics, experience machine, family, fans, Fiction, fidelity, general intelligence, governments, Gustav Mahler, human beings, humans, intelligences, language, light, machine life, Maine, marriage, Mars, metaphysics, Palo Alto, perpetual light, processors, quantum effects, retirement, Robert Nozick, robots, Science and Culture Today, self-preservation, superintelligence, Technology, The Battering Company, theorems, University of Texas
On the morning of his upload, he signed transfer papers, redundancy protocols, continuity covenants, and one handwritten page that no lawyer saw. Source
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Why AI Won’t Replace Us Spiritually

AI systems, Angels, Arthur Benjamin, artifacts, artificial inteligence, atheists, Buddhists, Christianity, Computational Sciences, dehumanizing, ethics, functional capabilities, Herodians, Hindus, human abilities, human exceptionalism, human intelligence, Human Value, humans, image, image-bearing, intelligence, Jesus, Judaism, Judeo-Christian framework, Muslims, newborn, Pharisees, representation, resemblance, Son of Man, spiritual beings
AI systems increasingly resemble human intelligence. But resemblance alone does not make them image bearers. It cannot. AI systems do not represent God. Source
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Why AI Can’t Replace Us Functionally

animals, arithmetic, artificial inteligence, attention, bigram model, Claude, Claude Shannon, coherence, comprehension, Computational Sciences, computer code, Conversations, Data Processing Inequality, disinformation, embedding, English, fish, food, functional capability, games, generative AI systems, GPT-5, human exceptionalism, humans, incompleteness theorem, information theory, Kurt Gödel, large language models, mathematical reasoning, model collapse, music, numbers, pixels, poetry, processing, prompts, Reasoning, René Magritte, semantics, statistical patterns, syntax, The Treachery of Images, tokens, vectors, video, William Shakespeare, word approximation, words
The map is not the territory. The symbol is not the thing. And the model is not the mind. Source
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AI Dependence Makes Us Dumber, but That’s Not the Worst Thing About It

Andrew McDiarmid, Artificial Intelligence, baked salmon, ChatGPT, Chicago Tribune, Complexity, Computational Sciences, computer assistance, Copilot, createdness, Creativity, Engineering, Gemini, Grok, human exceptionalism, humans, living systems, Nikolai Berdyaev, salmon, scientists
I realized this when I found myself, not for the first time, asking Grok to remind me again how long to bake salmon at 400 degrees. Source
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Remembering Bernie Widrow, a Great Engineer and a Wise Scientist

ADALINE, Adolf Hitler, algorithms, Artificial Intelligence, Bell Labs, Bernard Widrow, Boeing, Claude Shannon, Computational Sciences, copper, copper plating, Earl Sannard Herald, electrical engineering, electroplating, Engineering, English, Frank Rosenblatt, French, IEEE Alexander Graham Bell Medal, IEEE Neural Networks Pioneer Medal, Japanese, Least Mean Squares, MADALINE, Marcian Hoff, National Academy of Engineering, Neural Networks, neurons, pennies, Science in Action, Seattle, silver nitrate, speech recognition, Stanford University
Widrow called his learning machine a neural network because it was loosely based on the 1943 McCulloch-Pitts model of the biological neuron. Source
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Against Anti-LLM and Anti-AI Absolutism

1 Thessalonians, absolutism, Aristotle, Artificial Intelligence, Bible, Carl Rogers, ChatGPT, Christians, Computational Sciences, dopamine, Doug Smith, Education, Edward Thorndike, Eighteenth Amendment, ELIZA program, Frederick Buechner, geography, history, Jacques Ellul, Jaime Escalante, Joseph Weizenbaum, Judeo-Christian tradition, large language models, Laurent Siklossy, liquor, Marshall McLuhan, math, mathematicians, Neil Postman, Open AI, Phillips Exeter Academy, programmed learning, Prohibition, Rogerian therapists, Sam Altman, science education, software, St. Paul, Substack, Technology, Turing test, William Jennings Bryan, [Un]Intentional
Doug Smith has been a software developer for three decades. He writes extensively about the impact of technology on culture. Source
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At COSM, Sharing Information Is Key to Solving Tech Problems

academic freedom, Andrew Mayne, Arizona, artificial inteligence, China, Computational Sciences, compute-in-memory, computer, COSM 2025, DRAM, flash graphene, flash tech, information, Intelligent Design, Interdimensional AI, James Tour, laptop, memory, NAND, Scottsdale, Search for ExtraTerrestrial Intelligence, SETI, Soviet Union, Technology, Travis Langster, voltage
Information is key to innovation, and a familiar question intelligent design asks is “Where does information come from?”  Source
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Calm Down, the Universe as a Simulation Is Mathematically Impossible

Computational Sciences, eliminative materialism, Ideas, information, Intelligent Design, Isaac Newton, Kurt Gödel, Lawrence Krauss, logical positivism, materialist atheism, Michelle Starr, Okanagan, philosophers, physics, Plato, Platonic forms, Skynet, Terminator, universe, University of British Columbia
The idea that information underlies the universe is compatible with the very intelligent design theory that Lawrence Krauss has opposed in the past. 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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