Geoffrey Hinton on Artificial Intelligence

For me, that's the most important question in neuroscience. How similar is the way the brain learns to how these large language models learn? And at a very abstract level, I believe it's quite similar. And now the good fight with Yasha Monk. My guest today is none other than Jeffrey Hinton.

Widely known as the godfather of AI, Jeffrey has invented some of the key architectural innovations that have made the current AI boom possible. For example, he was one of the people who figured out how to use the principle of backpropagation in such a way as to allow deep learning. He is also the winner of the 2024 Nobel Prize in Physics for foundational discoveries and inventions that enable machine learning with artificial neural networks. Well, my agenda for this conversation was twofold.

Firstly, for him to explain to us what that means. What is machine learning with artificial neural networks? And what exactly was his so important contribution to this field? Building on the recent episode with David Bau, I think of this as my 101 and 102 of understanding AI. And Jeffrey is, I think, very clear in helping us think conceptually about what this way of producing information and of enabling machines to think about the world actually consists in.

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