Geoff Hinton, the "Godfather of AI" returns to the Robot Brains with Pieter Abeel to discuss quitting Google to warn of AI risks. Geoff and Peter discuss whether AI is smarter than people, the role of regulation, fusing human and artificial intelligence, and what Geoff's next steps will be. Subscribe to the Robot Brains Podcast today | Visit therobotbrains.ai and follow us on YouTube at TheRobotBrainsPodcast and Twitter @therobotbrains. Hosted on Acast. See acast.com/privacy for more information.

Over the past ten years, AI has experienced breakthrough after breakthrough in everything from computer vision to speech recognition, protein folding prediction, and so much more.Many of these advancements hinge on the deep learning work conducted by our guest, Geoff Hinton, who has fundamentally changed the focus and direction of the field. A recipient of the Turing Award, the equivalent of the Nobel prize for computer science, he has over half a million citations of his work. Hinton has spent about half a century on deep learning, most of the time researching in relative obscurity. But that all changed in 2012 when Hinton and his students showed deep learning is better at image recognition than any other approaches to computer vision, and by a very large margin. That result, that moment, known as the ImageNet moment, changed the whole AI field. Pretty much everyone dropped what they had been doing and switched to deep learning.Geoff joins Pieter in our two-part season finale for a wide-ranging discussion inspired by insights gleaned from Hinton’s journey from academia to Google Brain. The episode covers how existing neural networks and backpropagation models operate differently than how the brain actually works; the purpose of sleep; and why it’s better to grow our computers than manufacture them.SUBSCRIBE TO THE ROBOT BRAINS PODCAST TODAY | Visit therobotbrains.ai and follow us on YouTube at TheRobotBrainsPodcast, Twitter @therobotbrains, and Instagram @therobotbrains. Hosted on Acast. See acast.com/privacy for more information.

In this engaging discussion, Geoffrey Hinton, a 2024 Nobel Prize winner and a trailblazer in AI, delves into the intriguing concept of machine consciousness. He explores the potential for AI to replicate human emotions and cognitive processes, raising profound philosophical questions. The conversation takes a fascinating turn as they connect dreams with neural networks, shedding light on how our sleeping minds might influence AI learning. Hinton also addresses the ethical implications of these advancements and the importance of regulation as AI evolves.