The ‘Godfather of AI’ says we can’t afford to get it wrong
On Point with Meghna Chakrabarti
WBUR
4.3 • 3.9K Ratings
🗓️ 29 December 2025
⏱️ 35 minutes
🧾️ Download transcript
Summary
Geoffrey Hinton is one of the world’s biggest minds in artificial intelligence. He won the 2024 Nobel Prize in Physics. Where does he think AI is headed?
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Transcript
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| 0:00.0 | Support for this podcast comes from Is Business Broken, a podcast from the Marotra Institute at BU Questrum School of Business. A recent episode asks, are boardrooms ready for the new geopolitical reality? Stick around until the end of this podcast to preview the episode. WBUR Podcasts, Boston. |
| 0:27.1 | This is on point. I'm Megynchakrabardi. |
| 0:30.6 | In 2024, Jeffrey Hinton won the Nobel Prize in Physics, a category that somewhat amused him, as we'll hear about in just a moment. |
| 0:40.3 | The Nobel Committee gave him the award for, quote, foundational discoveries and inventions that enable machine learning with artificial neural networks. |
| 0:50.0 | He shared the honor with John Hopfield. |
| 0:52.8 | Earlier in 2018, Hinton and two other longtime collaborators, |
| 0:57.4 | Yoshua Benjiou and Jan Lee Kuhn, |
| 1:00.3 | also received the Turing Award, |
| 1:02.7 | which is often called the Nobel Prize of Computing, |
| 1:05.1 | for their work on neural networks. |
| 1:08.4 | Hinton's work is so foundational |
| 1:10.0 | that he's considered to be the godfather of a civilization |
| 1:13.8 | changing technology that emerged from artificial neural networks. In other words, he's called the |
| 1:19.8 | godfather of AI. From 2013 to 2023, Professor Hinton worked for Google's deep learning artificial intelligence team. |
| 1:29.3 | He's currently Professor Emeritus at the University of Toronto. |
| 1:33.3 | And given his illustrious position in the development of artificial intelligence, your ears perk up when you hear that Jeffrey Hinton also says there is a chance that the very thing he contributed to creating could destroy humanity itself. |
| 1:50.4 | And he joins us now. Professor Hinton, welcome to On Point. |
| 1:54.3 | Hello. |
| 1:55.3 | Before we get to the doomsday scenario, I'd love to actually spend some time understanding your work |
| 2:02.4 | better so that it helps us take your potential predictions here, which much greater seriousness. |
| 2:10.0 | So I understand at the beginning of your career studying neural networks, someone once called |
| 2:15.3 | it the unglamorous subfield of neural networks. Do you think |
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