Geoffrey Hinton

Explore Geoffrey Hinton's remarkable transformation from psychology student to AI pioneer in this episode of The Pioneers. Discover how Hinton's early background in experimental psychology at Cambridge University shaped his revolutionary approach to artificial intelligence and neural networks. Learn about his groundbreaking work in the 1980s, including the co-invention of the Boltzmann machine and the development of the backpropagation algorithm that became the foundation of modern deep learning. Follow Hinton's journey through decades of skepticism from the AI community and his unwavering persistence in neural network research during the field's dormant years. Experience the dramatic 2012 ImageNet breakthrough that launched the deep learning revolution and transformed the technology industry. Understand how Hinton's interdisciplinary approach, combining insights from psychology, neuroscience, and computer science, led to innovations that now power everything from smartphone cameras to language translation systems. This episode examines the profound impact of one researcher's dedication to understanding how biological brains learn and his success in replicating these processes in artificial systems that have fundamentally changed our world.

This week on The AmberMac Show, part two of our conversation with the Godfather of AI, Geoffrey Hinton, who shares his thoughts on humans confiding in chatbots and his views on Russia’s President Putin. In TheOtherMac, Jeff breaks down what you need to know about last week’s landmark social media addiction trial. Plus, why OpenAI killed SORA, why HBO’s John Oliver might have inspired some changes on Elon Musk’s X platform, and how a Canadian company is leading the way with Voice AI. Send a voice message to The AmberMac Show Check out our guest on social… Geoffrey Hinton – University of Toronto Professor & 2024 Nobel Prize (Physics) : Wikipedia | X/Twitter Be sure to follow our hosts... Amber Mac : Bluesky | X/Twitter Jeff MacArthur : Bluesky | X/Twitter

On this week’s episode, part one of a two-part conversation with Godfather of AI, Geoffrey Hinton, who discusses with Amber how AI is shaping the future of work, why he is switching from ChatGPT, and lots more at RCIScience’s recent event. In this week’s news headlines, Jeff and Amber discuss how badly the internet is overrun with bots (and how much worse it will get), why Rivian will be coming to an Uber near you, Trump’s AI rules, Meta’s bad week, and some good Canadian news in quantum computing. Send a voice message to The AmberMac Show Check out our guest on social… Geoffrey Hinton – University of Toronto Professor & 2024 Nobel Prize (Physics) : Wikipedia | X/Twitter Be sure to follow our hosts... Amber Mac : Bluesky | X/Twitter Jeff MacArthur : Bluesky | X/Twitter

In Episode 75 of '100 Days of Data,' Jonas and Amy dive into the groundbreaking contributions of Geoffrey Hinton, often hailed as the 'godfather of deep learning.' They explore how Hinton's early pursuit of understanding human cognition led to revolutionary advances in neural networks and deep learning — technologies powering today’s AI solutions from fraud detection to voice recognition. The hosts break down key concepts like backpropagation and the rise of deep belief networks, revealing how Hinton’s persistence during AI’s toughest periods laid the groundwork for modern machine learning. With real-world applications and historical insight, this episode highlights how deep learning became a practical force in industries through Hinton’s vision and innovation.

Tom sits down with Geoffrey Hinton, University Professor Emeritus at the University of Toronto, and co-winner of the ACM Turing Award and of the 2024 Nobel Prize in Physics. Geoffrey explains how he got into the field, from his days as an aspiring carpenter to his conversion to a neural network researcher. He explains the burst of neural network progress in the mid-1980s when the backpropagation training algorithm came into widespread use, and the re-emergence of deep neural networks in 2012 when he and his students soundly defeated the best computer vision methods around. Geoffrey discusses his early realization that those GPUs being sold to accelerate video games were the perfect hardware to accelerate neural networks as well, his journey from academia to Google, the competition among the big AI companies, and his views on where AI is and might be headed.

Él fue pionero de la inteligencia artificial. Ahora está advirtiendo al mundo. Geoffrey Hinton, el Padrino de la IA, rompe su silencio sobre los peligros mortales de la IA para los que nadie está preparado. Geoffrey Hinton es un destacado científico de la computación y psicólogo cognitivo, reconocido mundialmente como el “Padrino de la IA” por su trabajo pionero en redes neuronales y aprendizaje profundo. Recibió el Premio Turing en 2018, considerado el Nobel de la computación. En 2023, dejó Google para alertar al público sobre los crecientes peligros de la IA. En esta conversación explica: ◼️ Por qué existe una probabilidad real del 20% de que la IA pueda provocar la EXTINCIÓN HUMANA ◼️ Cómo hablar públicamente sobre la IA hizo que lo silenciaran ◼️ El profundo arrepentimiento que siente por haber ayudado a crear la IA ◼️ Las 6 AMENAZAS MORTALES que la IA representa para la humanidad en este momento ◼️ El potencial de la IA para avanzar la medicina, aumentar la productividad y transformar la educación Temas: 00:00 Introducción 02:28 ¿Por qué te llaman el Padrino de la IA? 04:37 Advertencias sobre los peligros de la IA 07:23 Preocupaciones que deberíamos tener sobre la IA 10:50 Regulaciones europeas sobre la IA 12:29 Riesgo de ciberataques 14:42 Cómo protegerte de los ciberataques 16:29 Uso de la IA para crear virus 17:43 IA y elecciones corruptas 19:20 Cómo la IA crea cámaras de eco 23:05 Regular las nuevas tecnologías 24:48 ¿Las regulaciones nos están impidiendo competir con China? 26:14 La amenaza de las armas autónomas letales 28:50 ¿Pueden combinarse estas amenazas de la IA? 30:32 Limitar que la IA tome el control 32:18 Reflexiones sobre el trabajo de toda una vida ante los riesgos de la IA 34:02 Estudiante abandona OpenAI por preocupaciones de seguridad 38:06 ¿Eres optimista sobre el futuro de la IA? 40:08 La amenaza del desempleo causado por la IA 43:04 Si los músculos y la inteligencia son reemplazados, ¿qué queda? 44:55 Anuncios 46:59 Diferencia entre la IA actual y la superinteligencia 52:54 Aceptando el verdadero alcance de las capacidades de la IA 54:46 Cómo la IA podría ampliar la brecha de desigualdad económica 56:35 ¿Por qué la IA es superior a los humanos? 59:18 El potencial de la IA para saber más que los humanos 1:01:06 ¿Puede la IA replicar la singularidad humana? 1:04:14 ¿Tendrán sentimientos las máquinas? 1:11:29 Trabajar en Google 1:15:12 ¿Por qué dejaste Google? 1:16:37 Anuncios 1:18:32 ¿Qué debería estar haciendo la gente frente a la IA? 1:19:53 Un trasfondo familiar impresionante 1:21:30 Consejos que darías mirando atrás 1:22:44 Mensaje final sobre la seguridad de la IA 1:26:05 ¿Cuál es la mayor amenaza para la felicidad humana? Sigue a Geoffrey: X – https://bit.ly/4n0shFf The Diary Of A CEO: ⬛ Únete al círculo DOAC aquí – https://doaccircle.com/ ⬛ El Diario del 1% ha vuelto – por tiempo limitado: https://bit.ly/3YFbJbt ⬛ Cartas de conversación de The Diary Of A CEO (segunda edición): https://g2ul0.app.link/f31dsUttKKb ⬛ Recibe actualizaciones por email – https://bit.ly/diary-of-a-ceo-yt ⬛ Sigue a Steven – https://g2ul0.app.link/gnGqL4IsKKb Patrocinadores: Stan Store – Visita https://link.stan.store/joinstanchallenge para unirte al reto KetoneIQ – Visita https://ketone.com/STEVEN para obtener 30% de descuento en tu suscripción #GeoffreyHinton #InteligenciaArtificial #PeligrosDeLaIA Learn more about your ad choices. Visit megaphone.fm/adchoices

📌 本集主題美國最新《國家安全戰略》（NSS 2025）正式發表——與2017、2022年版相比，華府的戰略重心有何變化？特別是在東南亞的佈局，又如何影響未來地緣平衡？ 同時，AI教父 Geoffrey Hinton 再度發聲，警告人工智慧的風險，如何確保人工智能不會傷害人類，他提出我們與人工智能的相處關係，可以是“母親”（AI）與“孩子”（人類）。《劍橋詞典》選出年度詞 “Parasocial”，《牛津詞典》則定義本年度代表社會氣氛的關鍵字 “Rage Bait”。這些詞，正反映我們所處時代的虛擬關係與情緒裂縫。🌍 本週國際焦點 NSS 2025 解析：廖朝驥博士比較三個時期（2017／2022／2025）版本的美國國家安全戰略，揭示美國對東南亞與中國、俄羅斯戰略的深層變化。 東南亞佈局觀察：NSS 2025 如何重新定義美國在東南亞的存在與盟友網絡？ AI 教父的憂慮：Geoffrey Hinton 再次警示 AI 的不可控發展與倫理風險。 年度詞反映社會焦慮：劍橋的 “Parasocial” 與牛津的 “Rage Bait” ，道出數位時代的心理狀態與情緒操控。 🕰️ 本期重點時間軸 00:00 ▶ 美國《國家安全戰略》（NSS 2025）解析：比較2017、2022版本 06:11 ▶ 美國在東南亞的戰略佈局 10:17 ▶ AI 教父 Geoffrey Hinton 的人工智慧憂慮 25:11 ▶ 劍橋詞典「Parasocial」＆牛津詞典「Rage Bait」年度詞現象🎙️ 節目介紹 📅國際廖理 每週一晚上7PM–8PM（馬來西亞愛FM電台同步播出） 節目以幽默卻犀利的方式，深入解析政治、科技與文化的交織變化。🧠 主持人簡介廖朝驥博士（Dr. Joe Liaw），馬來西亞籍國際關係學者，現任新紀元大學學院副教授，長期關注冷戰史、東南亞、地緣政治與國際戰略。節目風格幽默不失犀利，深入淺出帶你看懂世界大局。📡 節目主持：JC勁程、真怡📌 訂閱與联络：FB: / liaochaoji Youtube: / @drjoeliaw Spotify: https://open.spotify.com/show/5sOikfj... Linkedin: / siau-chi-liaw-61a7a930a 聯絡：joeliawsc@gmail.com

Computer scientist and Nobel laureate Geoffrey Hinton joins Ian Bremmer on the GZERO World podcast to talk about artificial intelligence, the technology transforming our society faster than anything humans have ever built. The question is: how fast is too fast? Hinton is known as the “Godfather of AI.” He helped build the neural networks that made today’s generative AI tools possible and that work earned him the 2024 Nobel Prize in physics. But recently, he’s turned from a tech evangelist to a whistleblower, warning that the technology he helped create will displace millions of jobs and eventually destroy humanity itself. The Nobel laureate joins Ian to discuss some of the biggest threats from AI: Mass job loss, widening inequality, social unrest, autonomous weapons, and eventually something far more dire: AI that becomes smarter than humans and might not let us turn it off. But he also sees a path forward: if we can model good behavior and program ‘maternal instincts’ into AI, could we avoid a worst-case scenario? Host: Ian Bremmer Guest: Geoffrey Hinton Subscribe to the GZERO World with Ian Bremmer Podcast on Apple Podcasts , Spotify , or your preferred podcast platform, to receive new episodes as soon as they're published. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Yascha Mounk and Geoffrey Hinton discuss how AI works—and why it’s a risk. Geoffrey Hinton is a cognitive psychologist and computer scientist known as the “godfather of AI.” He was awarded the 2024 Nobel Prize in Physics, along with John Hopfield. In this week’s conversation, Yascha Mounk and Geoffrey Hinton discuss what neuroscience teaches us about AI, how humans and machines learn, and the existential risks of AI. If you have not yet signed up for our podcast, please do so now by following ⁠⁠this link on your phone⁠⁠. Email: leonora.barclay@persuasion.community Podcast production by Jack Shields and Leonora Barclay. Connect with us! ⁠⁠Spotify⁠⁠ | ⁠⁠Apple⁠⁠ | ⁠⁠Google⁠⁠ X: ⁠⁠@Yascha_Mounk⁠⁠ & ⁠⁠@JoinPersuasion⁠⁠ YouTube: ⁠⁠Yascha Mounk⁠⁠, ⁠⁠Persuasion⁠⁠ LinkedIn: ⁠⁠Persuasion Community Learn more about your ad choices. Visit megaphone.fm/adchoices

The story of how Geoffrey Hinton became “the godfather of AI” has reached mythic status in the tech world. While he was at the University of Toronto, Hinton pioneered the neural network research that would become the backbone of modern AI. (One of his students, Ilya Sutskever, went on to be one of OpenAI’s most influential scientific minds.) In 2013, Hinton left the academy and went to work for Google, eventually winning both a Turing Award and a Nobel Prize. I think it’s fair to say that artificial intelligence as we know it, may not exist without Geoffrey Hinton. But Hinton may be even more famous for what he did next. In 2023, he left Google and began a campaign to convince governments, corporations and citizens that his life’s work – this thing he helped build – might lead to our collective extinction. And that moment may be closer than we think, because Hinton believes AI may already be conscious. But even though his warnings are getting more dire by the day, the AI industry is only getting bigger, and most governments, including Canada’s, seem reluctant to get in the way. So I wanted to ask Hinton: If we keep going down this path, what will become of us? Mentioned: If Anyone Builds It, Everyone Dies: The Case Against Superintelligent AI , by Eliezer Yudkowsky and Nate Soares Agentic Misalignment: How LLMs could be insider threats , by Anthropic Machines Like Us is produced by Mitchell Stuart. Our theme song is by Chris Kelly. Video editing by Emily Graves. Our executive producer is James Milward. Special thanks to Angela Pacienza and the team at The Globe and Mail. Support for Machines Like Us is provided by CIFAR and the Max Bell School of Public Policy at McGill University. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this urgent episode of We Are Still Human, host Phillip Kemp reports on Geoffrey Hinton’s stark warning: artificial intelligence could drive massive unemployment while catapulting corporate profits to unprecedented heights. Dubbed the “Godfather of AI,” Hinton argues that the real threat isn’t the technology itself, but the capitalist system that allows wealth to concentrate at the top while stripping millions of dignity and purpose. Kemp dissects Hinton’s message, exploring the risks of an economy built for margins, not people, and calls listeners into a circle of resistance — where sovereignty, not profit, defines survival.

So will AI wipe us out? According to Geoffrey Hinton , the 2024 Nobel laureate in physics, there's about a 10-20% chance of AI being humanity's final invention. Which, as the so-called Godfather of AI acknowledges, is his way of saying he has no more idea than you or I about its species-killing qualities. That said, Hinton is deeply concerned about some of the consequences of an AI revolution that he pioneered at Google. From cyber attacks that could topple major banks to AI-designed viruses, from mass unemployment to lethal autonomous weapons, Hinton warns we're facing unprecedented risks from technology that's evolving faster than our ability to control it. So does he regret his role in the invention of generative AI? Not exactly. Hinton believes the AI revolution was inevitable—if he hadn't contributed, it would have been delayed by perhaps a week. Instead of dwelling on regret, he's focused on finding solutions for humanity to coexist with superintelligent beings. His radical proposal? Creating "AI mothers" with strong maternal instincts toward humans—the only model we have for a more powerful being designed to care for a weaker one. 1. Nobody Really Knows the Risk Level Hinton's 10-20% extinction probability is essentially an admission of complete uncertainty. As he puts it, "the number means nobody's got a clue what's going to happen" - but it's definitely more than 1% and less than 99%. 2. Short-Term vs. Long-Term Threats Are Fundamentally Different Near-term risks involve bad actors misusing AI (cyber attacks, bioweapons, surveillance), while the existential threat comes from AI simply outgrowing its need for humans - something we've never faced before. 3. We're Creating "Alien Beings" Right Now Unlike previous technologies, AI represents actual intelligent entities that can understand, plan, and potentially manipulate us. Hinton argues we should be as concerned as if we spotted an alien invasion fleet through a telescope. 4. The "AI Mothers" Solution Hinton's radical proposal: instead of trying to keep AI submissive (which won't work when it's smarter than us), we should engineer strong maternal instincts into AI systems - the only model we have of powerful beings caring for weaker ones. 5. Superintelligence Is Coming Within 5-20 Years Most leading experts believe human-level AI is inevitable, followed quickly by superintelligence. Hinton's timeline reflects the consensus among researchers, despite the wide range. Keen On America is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit keenon.substack.com/subscribe