Geoffrey Hinton
Mentioned in 29 analyzed podcast episodes across 10 shows
A pioneering AI researcher and Nobel Prize winner who made foundational contributions to deep learning, including the backpropagation algorithm and neural network training techniques that enabled modern AI. After decades advancing the field, he left Google to publicly advocate for addressing AI existential risks and safety concerns. Podcasts discuss him as both a seminal figure in AI's development and an important voice warning about the technology's potential dangers.
Appears On
Episode Appearances
Making Sense with Sam Harris · Apr 10, 2026
#469 — Escaping an Anti-Human Future
“Cited as example of AI pioneer who became deeply concerned about AI risks after recent breakthroughs”
Latent Space: The AI Engineer Podcast · Apr 3, 2026
Marc Andreessen introspects on The Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different"
“Pioneer in neural networks who lived to see breakthroughs; example of researcher vindication”
Breaking Points with Krystal and Saagar · Feb 24, 2026
2/24/26: Ro Khanna Sounds Off On DNC, Markets Crash, AI Exec Loses Control Of Bot, UFO Files
“Nobel Prize winner who quit Google to speak publicly about AI existential dangers”
This Day in AI Podcast · Feb 20, 2026
Gemini 3.1 Pro, Claude Sonnet 4.6 & The OpenClaw Hire That Killed the Chatbot Era - EP99.35
“Used as example in AI model testing for creating a 'doom center' monitoring application”
Latent Space: The AI Engineer Podcast · Feb 12, 2026
Owning the AI Pareto Frontier — Jeff Dean
“AI pioneer mentioned as co-inventor of the distillation technique in 2014”
Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas · Feb 9, 2026
343 | Tom Griffiths on The Laws of Thought
“AI researcher who developed backpropagation algorithm enabling training of multilayer neural networks”
Possible · Feb 4, 2026
CryptoPunks creators: from art experiment to cultural movement
“AI researcher at University of Toronto; cited as example of persistence in AI despite 1990s skepticism”
Huberman Lab · Feb 2, 2026
How Dopamine & Serotonin Shape Decisions, Motivation & Learning | Dr. Read Montague
“AI pioneer who persisted with neural networks when they were considered ineffective”
Machine Learning Street Talk (MLST) · Jan 25, 2026
VAEs Are Energy-Based Models? [Dr. Jeff Beck]
“Credited with developing negative sampling and contrastive learning methods for representation learning”
This Day in AI Podcast · Jan 23, 2026
The AI Productivity Paradox: Why Doing More Feels Like Burnout: EP99.31
This Day in AI Podcast · Jan 19, 2026
2026 Existential Crisis, Claude Code Hype & Is SaaS Dead? EP99.30-WIZARDS
Making Sense with Sam Harris · Jan 16, 2026
#453 — AI and the New Face of Antisemitism
“AI pioneer; stated that current deep learning approaches are not the path to AGI but did not elaborate on causal limitations”
3 Takeaways™ · Jan 13, 2026
A Smarter, More Hopeful Future of Work - If We Get Artificial Intelligence Right (#284)
“Neural networks inventor and Nobel Prize winner cited for predicting radiologist displacement within 5 years, which hasn't materialized”
Digital Disruption with Geoff Nielson · Jan 12, 2026
AI's Most Dangerous Truth: We've Already Lost Control
“Co-creator of backpropagation algorithm; left Google to warn about AI dangers; noted CEO perspective on intelligence”
Tech Won't Save Us · Jan 8, 2026
We All Suffer from OpenAI’s Pursuit of Scale w/ Karen Hao [Replay]
“Deep learning pioneer whose belief in computational intelligence influenced scaling strategy; now advocates for AI existential risk concerns”
Moonshots with Peter Diamandis · Jan 6, 2026
Elon Musk on AGI Timeline, US vs China, Job Markets, Clean Energy & Humanoid Robots | 220
The New Yorker Radio Hour · Dec 26, 2025
The Company Behind the A.I. Boom
“Godfather of AI software; quit Google to warn humanity about AI risks; represents pessimistic view versus Huang's optimism”
Your Undivided Attention · Dec 18, 2025
America and China Are Racing to Different AI Futures
“Nobel Prize winner in physics; participated in International Dialogues on AI Safety in Shanghai”
Radiolab · Dec 12, 2025
The Alien in the Room
“Collaborator with Sejnowski on early machine learning research that established foundation for modern deep learning”
Digital Disruption with Geoff Nielson · Dec 8, 2025
Go All In on AI: The Economist’s Kenneth Cukier on AI's Experimentation Era
“One of three 'Godfathers of AI'; pioneered backpropagation enabling recursive deep learning; foundational to modern AI development.”
Digital Disruption with Geoff Nielson · Nov 24, 2025
How AI Will Save Humanity: Creator of The Last Invention Explains
“Lifelong AI believer since 1972; now publicly warns of existential risk; exemplifies shift from acceleration to caution among pioneers”
Sean Carroll's Mindscape: Science, Society, Philosophy, Culture, Arts, and Ideas · Nov 24, 2025
336 | Anil Ananthaswamy on the Mathematics of Neural Nets and AI
“Persisted in neural network research during AI winter; contributed to backpropagation algorithm development”
The Last Invention · Nov 20, 2025
EP 8: The Accelerationists
Digital Disruption with Geoff Nielson · Nov 17, 2025
AGI Is Here: AI Legend Peter Norvig on Why it Doesn't Matter Anymore
“Expresses concern that AI development is dangerous; represents more pessimistic view than Norvig”
The Last Invention · Oct 16, 2025
EP 4: Speedrun
“AI pioneer; connectionist researcher; received Turing Award with Bengio and LeCun; expressed concerns post-ChatGPT”
The Last Invention · Oct 9, 2025
EP 3: Playing the Wrong Game
“Pioneer of neural networks and backpropagation; rejected by AI community for decades before 2012 ImageNet validation”
Making Sense with Sam Harris · Oct 2, 2025
#435 — The Last Invention
“Quit Google to publicly warn about AI existential risks; called 'Godfather of AI' for his foundational work”
The Last Invention · Oct 2, 2025
EP 1: Ready or Not
“Nobel Prize-winning AI researcher who quit Google to publicly warn about existential risks from AI development”
Big Technology Podcast · Mar 19, 2025
Why Can't AI Make Its Own Discoveries? — With Yann LeCun
“Co-developer with LeCun of foundational deep learning ideas”