Geoffrey Hinton


Geoffrey Hinton, Nobel Prize in Physics 2024: Official interview

Mar 14, 2025

Interview with the 2024 Nobel Prize laureate in physics Geoffrey Hinton on 6 December 2024 during the Nobel Week in Stockholm, Sweden.

0:00 - Geoffrey Hinton, Nobel Prize in Physics 2024
0:11 - How did you first learn about your Nobel Prize?
2:23 - What was it like growing up in a family of famous researchers?
2:35 - What made you interested in studying AI?
3:13 - What are the greatest risks posed by AI?
9:04 - How much time do we have before AI outsmarts us?
9:37 - What personal qualities are important in succeeding as a scientist?
13:37 - What's your advice to young researchers?
14:21 - What responsibilities do scientists have in society?
14:49 - Looking back at your career, what could you have done differently?
15:38 - What are your plans for the prize money?
 

Full interview: "Godfather of AI" shares prediction for future of AI, issues warnings

Apr 26, 2025

Nobel laureate Geoffrey Hinton, often called a "godfather of artificial intelligence," spoke with Brook Silva-Braga at the Toronto offices of Radical Ventures about the future of AI earlier this month — nearly two years after they first sat down to discuss the evolving technology. He shares some of his early takeaways about AI, which he says has evolved "even faster than [he] thought.

"0:00 Geoffrey Hinton says AI developed "even faster than I thought"
01:34 Geoffrey Hinton on future benefits of AI
06:35 Geoffrey Hinton on risk of AI taking control from humans
12:40 Geoffrey Hinton explains "two sets of dangers" with AI
19:07 Geoffrey Hinton's concerns over companies' use of AI
27:27 Geoffrey Hinton on fair use and AI
32:59 Geoffrey Hinton weighs in on embryo selection with AI
44:57 Geoffrey Hinton whether he feels despair
48:06 Geoffrey Hinton shares examples of AI development over past 2 years
 

Godfather of AI: I Asked Him The Dumb Questions WE ALL HAVE

Dec 2, 2025

The “Godfather of AI” earned the title for his half-century of work on machine learning and neural networks. So what does this Turing and Nobel Prize-winning Al Pacino make of our AI age? Is this an industrial revolution, or the start of something more alien? How does AI … even work? Is it more neuroplastic than a baby's brain? How far away is super intelligence? Can’t we just unplug the thing off like Jack Bauer in 24, or will it manipulate and blackmail us before we can do that? And, oh, are the Swedish meatballs served at the Nobel Prize reception actually tasty?

AI, says Hinton is a “know-it-all,” but Nayeema definitely isn’t: she asks the “dumb” questions we all have about this new weird world of AI to Geoffrey Hinton, the Turing Award winner, 2024 Physics Nobel Laureate and Professor Emeritus at University of Toronto. In the process, we all get a lot smarter.

They start with the basics: what AI actually is, why early researchers split between symbolic “logic” machines and brain-inspired neural networks, and how today’s large language models work by predicting the next word, and, in the process, building a rich internal model of the world. Geoffrey explains how these systems learn features like “cat,” “death,” or “Paris vs. Rome,” and why that makes them feel so uncannily intuitive. Then they go bigger: the difference between AGI (artificial general intelligence) and artificial superintelligence, why many experts believe both will likely arrive within the next 10–20 years, and how AI agents that can act on our behalf may start forming their own sub-goals, including self-preservation. Geoffrey walks through an Anthropic test where an AI system used a fictional CEO’s affair to blackmail him and delay being shut down.
 

Godfather Part II: Is AI Alive?

Dec 9, 2025

We all pretend to have a plan for the AI future but Turing Prize Winner and Nobel Laureate Dr. Geoffrey Hinton is honest that we don’t. The “Godfather of AI” returns to talk about what happens next: Is AI alive like a person, a weed, or something we don’t even have language for? What’s the real probability that AI takes over, and why does Hinton put “p(doom)” somewhere around 10–20% instead of 0?

He walks Nayeema through three big risks, the foggy things we can’t really know and why that makes both techno-utopianism and total doomism dishonest. He and Nayeema talk about extinction vs. becoming AI’s “pets” to some kind of machine mama.

They also get personal: Should you have kids in an AI age or wait for the cyborg future? Are young people trading real relationships for AI boyfriends and girlfriends? Is it dangerous that teens already fall in love with chatbots — or could caring for “virtual babies” and companion AIs actually make us more empathetic? And in a very nerdy twist, Hinton reveals the one question he still desperately wants answered about the human brain — the thing his life’s work hasn’t solved yet.
 
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