The real danger lies not in what AI can do, but in forgetting what only humans can do.
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The Markov process also explains why an LLM degrades when it is trained on its own output — its drift toward the most probable state ends in rubbish.
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If human involvement is minimized, this hard limit will probably come up time and again. Computation is not creativity.
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AI companies could be required to record images’ origin and compensate copyright holders. But as Robert J. Marks notes, end users might then have to pay.
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Far from being independent superintellects, AIs — without human input — are subject to Model Collapse, where they start reprocessing information into nonsense.
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AI can replace screenwriters only if you are content to see the same-old same-old every day forever. That’s true no matter who owns the technology.
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AI training on itself needs fresh creative material on which to train or algorithms will feed off themselves in recursive cycles and degenerate into nonsense.
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Meanwhile, organizations that laid off writers and editors to save money are finding that they can’t just program creativity or common sense into machines.
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