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Meet Geoffrey Everest Hinton, a British-Canadian computer and cognitive scientist, and Nobel Prize laureate known for his work on artificial neural networks, which earned him the title "the Godfather of AI". He is University Professor Emeritus at the University of Toronto. If you get a spare 15 minutes today,...

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Geoffrey Hinton says he quit Google because the company wouldn't listen to what he'd discovered about AI. Hinton spent 50 years building the math behind neural networks. He won the 2024 Nobel Prize in Physics for it. Then he walked away from a seven-figure salary to deliver one warning. Here's what Google's "Godfather of AI" has been saying: In 2012, Hinton and two students built AlexNet. It crushed ImageNet so decisively it ended the neural network debate overnight. Google hired his team for $44 million. For the next decade, Hinton helped build Google's AI division. He watched the models get smarter. He watched them get harder to understand. He told the New York Times: "I left so I could talk about the dangers without worrying about how it affects Google." The danger he named was specific. AI systems are learning faster than their creators can track what they've learned. Google's response: thanked him publicly and changed nothing. The institution doesn't suppress the warning. It thanks the messenger and keeps building. The system that profits from the risk will never be the one that stops it. Genius warning or premature alarm? One lens worth keeping: when the person who built the system warns you about it, the warning is worth more than the system's reassurances. Apply this to any product defended most fiercely by the company that sells it. I made a free toolkit breaking down 100+ mental models used by history's greatest thinkers. 5,000+ downloads. 113 five-star reviews. Grab your free copy here: If you're new here, GeniusThinking is a gallery for the greatest minds in economics, psychology, and history. Follow along for more similar content. — Geoffrey Hinton interview, New York Times (2023) | Data: Google DeepMind, Nobel Prize Committee

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