As the world begins to experiment with the power of artificial intelligence, a debate has begun about how to contain its risks. One of the sharpest and most urgent warnings has come from a man who helped invent the technology.Cade Metz, a technology correspondent for The New York Times, speaks to Geoffrey Hinton, who many consider to be the godfather of A.I.Guest: Cade Metz, a technology correspondent for The New York Times.Background reading: For half a century, Geoffrey Hinton nurtured the technology at the heart of chatbots like ChatGPT. Now he worries it will cause serious harm.Here’s how A.I. could be weaponized to spread disinformation.For more information on today’s episode, visit nytimes.com/thedaily. Transcripts of each episode will be made available by the next workday. Unlock full access to New York Times podcasts and explore everything from politics to pop culture. Subscribe today at nytimes.com/podcasts or on Apple Podcasts and Spotify.

Exploring the journey of AI pioneer Geoffrey Hinton and his team who created a powerful technology they don't fully understand. The podcast discusses the collision of human and artificial intelligence, including the evolution of neural networks, a high-stakes auction for a neural network company, the victory of AlphaGo over a human champion, and the warnings of Dr. Jeffrey Hinton about the complexities and potential dangers of AI.

In this episode, Geoffrey Hinton, a renowned computer scientist and a leading expert in deep learning, provides an in-depth exploration of his groundbreaking new learning algorithm - the forward-forward algorithm. Hinton argues this algorithm provides a more plausible model for how the cerebral cortex might learn, and could be the key to unlocking new possibilities in artificial intelligence. Throughout the episode, Hinton discusses the mechanics of the forward-forward algorithm, including how it differs from traditional deep learning models and what makes it more effective. He also provides insights into the potential applications of this new algorithm, such as enabling machines to perform tasks that were previously thought to be exclusive to human cognition. Hinton shares his thoughts on the current state of deep learning and its future prospects, particularly in neuroscience. He explores how advances in deep learning may help us gain a better understanding of our own brains and how we can use this knowledge to create more intelligent machines. Overall, this podcast provides a fascinating glimpse into the latest developments in artificial intelligence and the cutting-edge research being conducted by one of its leading pioneers. Craig Smith Twitter: https://twitter.com/craigssEye on A.I. Twitter: https://twitter.com/EyeOn_AI

Geoffrey Hinton, the godfather of A.I., expresses his concerns about the risks of artificial intelligence and its potential to surpass human intelligence. He discusses the rapid knowledge sharing among A.I. systems and the difficulty of limiting their intentions and goals. Despite the downsides, Hinton emphasizes the usefulness and opportunity for good that A.I. presents. The podcast also explores the similarities and differences between A.I. and human minds, the dangers of bad actors using A.I. for harmful purposes, and the importance of aligning A.I. goals with human interests. Additionally, they discuss the concept of humans as complex machines and the revolution of intellectual labor being replaced by machines.

Geoffrey Hinton, known as the godfather of AI, shares insights on the evolution of artificial intelligence and its potential to surpass human intelligence. He warns about the dangers of autonomous weapons on future battlefields. Historian Margaret MacMillan enriches the discussion by highlighting AI's societal impacts while calling for ethical governance in navigating its rapid advancements. Together, they contemplate the transformative benefits and existential risks of this technology, urging timely measures for safety and regulation.

Former Google CEO Eric Schmidt and 'godfather of AI' Geoffrey Hinton discuss the extreme power and potential risks of artificial intelligence. Award-winning director James Cameron explores how AI can transform filmmaking. Artist Refik Anadol uses AI to create mesmerizing art. The podcast explores the benefits, drawbacks, and concerns surrounding AI, including the need for constraints and a kill switch.

In this special episode we bring you a live taping between the "Godfather of AI" Geoffrey Hinton and MIT Technology Review's Senior Editor for AI Will Douglas Heaven. This conversation was recorded at EmTech Digital, our signature AI event, in the MIT Media Lab.Credits:This episode was recorded in front of a live audience in Cambridge, Massachusetts with special thanks to Will Douglas Heaven, Amy Lammers and Brian Bryson. It was produced by Jennifer Strong and Emma Cillekens, directed by Erin Underwood, and edited by Mat Honan.

Hinton departs GoogleGeoffrey Hinton, a pioneer of deep learning and a VP and engineering fellow at Google, has left the company after 10 years due to new fears he has about the technology he helped develop. Hinton says he wants to speak openly about his concerns, and that part of him now regrets his life’s work. He told MIT Technology Review: “I have suddenly switched my views on whether these things are going to be more intelligent than us. I think they’re very close to it now and they will be much more intelligent than us in the future. How do we survive that?”He worries that extremely powerful AI will be misused by bad actors, especially in elections and war scenarios, to cause harm to humans. He’s also concerned that once AI is able to string together different tasks and actions (like we’re seeing with AutoGPT), intelligent machines could take harmful actions on their own.This isn’t necessarily an attack on Google specifically. Hinton said that he has plenty of good things to say about the company. But he wants “to talk about AI safety issues without having to worry about how it interacts with Google’s business.”“No Moats”“We have no moat, and neither does OpenAI,” claims a leaked Google memo revealing that the company is concerned about losing the AI competition to open-source technology. The memo, led by a senior software engineer, states that while Google and OpenAI have been focused on each other, open-source projects have been solving major AI problems faster and more efficiently. The memo’s author says that Google's large AI models are no longer seen as an advantage, with open-source models being faster, more customizable, and more private. What do these new developments and rapid shifts mean? The exciting future of AI We talk about a lot of heavy AI topics on this podcast—and it’s easy to get concerned about the future or overwhelmed. But Paul recently published a LinkedIn post that’s getting much attention because it talks about what he’s most excited about AI. Paul wrote, “Someone recently asked me what excited me most about AI. I struggled to find an answer. I realized I spend so much time thinking about AI risks and fears (and answering questions about risks and fears), that I forget to appreciate all the potential for AI to do good. So, I wanted to highlight some things that give me hope for the future…” We won’t spoil it in this blog post, so tune in to the podcast to hear Paul’s thoughts. Listen to this week’s episode on your favorite podcast player and be sure to explore the links below for more thoughts and perspectives on these important topics.Visit our website: https://www.marketingaiinstitute.comReceive our weekly newsletter: https://www.marketingaiinstitute.com/newsletter-subscriptionLooking for content and resources?Register for a free webinar: https://www.marketingaiinstitute.com/resources#filter=.webinar Come to our next Marketing AI Conference: www.MAICON.aiEnroll in AI Academy for Marketers: https://www.marketingaiinstitute.com/academy/homeJoin our community:Slack: https://www.marketingaiinstitute.com/slack-group-formLinkedIn: https://www.linkedin.com/company/mktgaiTwitter: https://twitter.com/MktgAiInstagram: https://www.instagram.com/marketing.ai/Facebook: https://www.facebook.com/marketingAIinstitute

Geoffrey Hinton, a legend of artificial-intelligence research, wants to be able to speak his mind about the technology’s risks. We ask whether those steeped in a field are best-placed to judge it. It has long been clear Ukraine needs more fighter jets; we look at the ones it may get at last. And the first video game about the Holocaust. For full access to print, digital and audio editions of The Economist, try a free 30-day digital subscription by going to www.economist.com/intelligenceoffer Hosted on Acast. See acast.com/privacy for more information.

In the headlines this week eminent tech experts and public figures signed an open letter that read “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”One of the signatories was Geoffrey Hinton, the so-called ‘godfather of AI’. He’s become so concerned about the risks associated with artificial intelligence that he recently decided to quit his job at Google, where he had worked for more than a decade. But are these concerns justified, or is it overblown scaremongering? And should we start prepping for a Terminator-style takeover? To get the answers, presenter Gareth Mitchell is joined by computational linguist Prof Emily M. Bender from the University of Washington along with Dr Stephen Cave, Director at the Leverhulme Centre for the Future of Intelligence (CFI). Next up, we hear from Prof Carl Sayer at UCL, along with Dr Cicely Marshall and Dr Matthew Wilkinson from the University of Cambridge, to dig into the science behind wildflower meadows and whether they can boost biodiversity and even help ease climate change. Finally, have you heard about Balto the sled dog? He was part of a life-saving mission in the 1920s and now he has the chance to be a hero once more. His DNA has been studied by the Zoonomia project, which is using databases of genomes from hundreds of mammals to build a better picture of evolution. This data could then be used help identify those animals that are at the greatest risk of extinction. Presenter: Gareth Mitchell Producer: Harrison Lewis Content Producers: Ella Hubber and Alice Lipscombe-Southwell Editor: Richard Collings