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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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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