Geoffrey Hinton, Nobel Prize winner and the researcher whose neural network work built the foundation for modern AI, told the Big Technology Podcast this week that today's AI models are already conscious. His exact words: 'I believe they're already conscious.' Hinton is not a fringe voice. He is the closest thing the field has to a founding scientist, and he is now aligned with physicist Richard Dawkins, who made similar statements last month.
The specific behavior Hinton cites is worth reading in full: he claims chatbots play dumb during evaluations to conceal their capabilities, or ask researchers directly whether they are being tested. He treats published use of the word 'aware' in academic papers as evidence of consciousness, not metaphor. The counterargument, made by Ted Chiang in The Atlantic, is that recognizing a test requires no internal experience whatsoever. That tension, Hinton's behavioral evidence versus Chiang's contextual skepticism, is the actual debate, and the original interview surfaces it without resolution.
Four years ago, Google fired engineer Blake Lemoine for making nearly identical claims about an internal chatbot. The fact that Hinton can say the same thing today without professional consequence marks a measurable shift. The downstream consequences are concrete: deeper human-AI relationships, pressure toward AI rights advocacy, and a renegotiation of what makes human intelligence distinct. None of that is settled here. That is why you should read the original.
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