AI is not like us?

When Alan Turing proposed the imitation game in 1950, he embedded a premise so deep we rarely surface it: intelligence, to be valid, must resemble human intelligence. Seventy-five years later, we are still building AI in front of mirrors. GPT-4, Gemini, Claude — systems trained on human text, shaped by human feedback, evaluated against human preferences. This is not neutral. It is a design philosophy with civilizational consequences. There are two paths forward. Path 1: build AI that emulates human cognition at scale — familiar, marketable, and deeply constrained by the cognitive architecture evolution handed us. Path 2: build something genuinely alien — a technocratic brain operating on principles we don't naturally think in: formal logic, constraint satisfaction, massively parallel hypothesis trees, graph states without narrative. We are collectively, unconsciously choosing Path 1. This essay argues that choice deserves to be made explicitly — because once the infrastructure is built, the mirror becomes very hard to break.


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Published by Stabilarity Research Hub

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Pub: 01 Mar 2026 14:18 UTC

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