AI: What Could Go Wrong? with Geoffrey Hinton
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Who is Geoffrey Hinton and why is he called the "Godfather of AI"?
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Hey everybody, welcome to the weekly show uh podcast. My name is John Stewart. I'm gonna be hosting you today. And it's uh what is it Wednesday, October 8th? Uh I don't know what's gonna happen later on in the day, but uh we're gonna be out tomorrow. But today's episode, I I I just want to say very quickly, today's episode, we are talking to someone known as the Godfather of AI, a a gentleman by the name of Jeffrey Hinton, who has been developing uh the type of technology. that has turned into AI. since the seventies. And uh I wanna let you know. So we we we talk about it. The first part of it though, he he gives us this breakdown of kind of what it actually is, which for me was Unbelievably helpful. We get into the uh it will kill us all part, but uh it was important uh for my understanding to sort of set the scene.
So I I I hope you find that part as interesting as I did, because man. Uh Yeah. It expanded my understanding of what this technology is, of how it's going to be utilized, of what some of those dangers might be in a in a really interesting way. So I don't I will not hold it up any longer. Let us get to uh our guest for this podcast. Ladies and gentlemen, we are absolutely thrilled today to be able to welcome Professor Emeritus with the Department of Computer Science at the University of Toronto and Schwartz Reisman Institute's advisory board member, Jeffrey Hinton, is joining us. Sir, thank thank you so much for being with us today.
Well, thank you so much for inviting me.
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Chapters
8 chapters
1
Who is Geoffrey Hinton and why is he called the "Godfather of AI"?
0:00–14:18
2
How do neural networks learn to recognize simple visual features like edges?
14:18–27:06
3
What is the Hebbian learning rule and why did early attempts to use it fail?
27:06–39:10
4
How did the invention of back‑propagation make deep learning practical?
39:10–52:05
5
In what ways do large language models generate text and why are they only statistical?
52:05–1:05:44
6
What are the biggest risks of AI—weaponized misuse versus an existential threat?
1:05:44–1:19:09
7
Why is global cooperation on AI regulation harder than on nuclear weapons?
1:19:09–1:30:58
8
What does Geoffrey Hinton think the future of AI looks like for humanity?
1:30:58–1:43:36