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Cognitive Ephemeralization

The moment when Fuller's century-long trend of doing more with less crossed from the physical substrate of civilization into the cognitive substrate—when AI began doing more thinking with less human instruction, more design with less specialized training, and more creation with less implementation labor.
For a century, ephemeralization operated on matter: lighter alloys, smaller circuits, faster channels. Each round accomplished the same function with a fraction of the previous material and energy. Then, in the early 2020s, the trend crossed a threshold that Buckminster Fuller had anticipated but never specified: it reached cognition itself. Large language models began translating human intention into working artifact at a pace that collapsed what [YOU] on AI calls the imagination-to-artifact ratio to the width of a conversation. Unlike every previous round of ephemeralization, which affected what could be built, cognitive ephemeralization affects who can build—expanding the population of potential builders from the technically trained minority to anyone capable of articulating a clear intention in natural language. The adoption rate—ChatGPT reaching fifty million users in two months versus seventy-five years for the telephone—reflects not the quality of the technology but the depth of the barrier that cognitive ephemeralization dissolved:
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