This is Nobel Laureate Geoffrey Hinton showing precisely where the entire AI industry went wrong. He went along with the trend: “If you have any theory of how the brain works, you can simulate it on a digital computer” unless it’s quantum effects. This is false. The brain is a physical learning system that uses the laws of physics to calculate. It *cannot* be reproduced in digital form, nor can it be simulated. The moment you digitize information, you lose the part that makes it real. By converting it to bits—no matter how many—you lose the infinite resolution of reality. All forms of biological intelligence are 100% ANALOG. This is not an incidental feature of intelligence. It is fundamental to it. We have never simulated intelligence or consciousness on a digital computer because you can’t. LLMs simulate the OUTPUT of intelligence. They do not simulate intelligence itself. They do not learn. They are static piles of human data compressed in high-dimensional math. The whole idea they are intelligent is absurd. You will never get an intelligent digital computer, much less a conscious one. The future of AI is analog computing. When computers use the universe to calculate, when they adapt based on input from the physical world, we’ll be getting closer. Until then, AI is a dead end.