Episode 24 · Google DeepMind: The Podcast
Waymo: The future of autonomous driving with Vincent Vanhoucke
6 Nov 2025 · 49 min
Episode 24 · Google DeepMind: The Podcast
6 Nov 2025 · 49 min
How do you train an AI to drive safer than a human? Professor Hannah Fry sits down with Waymo Distinguished Engineer Vincent Vanhoucke to break down the complexities of autonomous driving—from the "closed loop" problem of real-world traffic to using generative AI for simulation. Plus, Hannah moves from theory to practice, taking a Waymo for a spin in California to experience it firsthand.
by Hannah Fry · English · Tech & Science
Join mathematician and broadcaster Professor Hannah Fry as she goes behind the scenes of the world-leading research lab to uncover the extraordinary ways AI is transforming our world. No hype. No spin, just compelling discussions and grand scientific ambition.
E27 · 16 Dec 2025 · 50 min
In our final episode of the season, Professor Hannah Fry sits down with Google DeepMind co-founder and CEO Demis Hassabis for their annual check-in. Together, they look beyond the product launches to the scientific and technological questions that will define the next decade. Demis shares his vision for the path to AGI - from solving "root node" problems in fusion energy and material science to the rise of world models and simulations. They also explore what's beyond the frontier and the importance of balancing scientific rigor amid the competitive dynamics of AI advancement.
E26 · 11 Dec 2025 · 48 min
Shane Legg, Chief AGI Scientist and co-founder of Google DeepMind, has been talking about artificial general intelligence, or AGI, for more than a decade. So what’s changed? According to Shane, now is the time to take it seriously. In this episode, Shane walks Professor Hannah Fry through his AGI framework, breaking down the levels from minimal to full AGI, and his timelines for each. They discuss the economic and societal shifts AGI will bring, the potential impact on work, and the extraordinary possibilities for human flourishing.
E25 · 28 Nov 2025 · 47 min
Five years ago, AlphaFold 2 solved the protein structure prediction problem, unlocking new avenues of biological research and providing our first major proof point that AI can be a powerful tool to advance science. The profound scientific and societal value of this work was even recognized in 2024 with the Nobel Prize in Chemistry. In this episode, Hannah is joined by John Jumper, one of the most instrumental scientists behind AlphaFold. He shares stories about his Nobel win, the tool's unexpected applications, and the shift in architecture from AlphaFold 2 to the more comprehensive…
E23 · 16 Oct 2025 · 26 min
In part two, Hannah and Four tackle the human element at the heart of cybersecurity: Who are the bad actors, and what motivates them? They dissect the evolving strategies designed to stop social engineering attacks - like passkeys and risk-based authentication - and confront the complex security and privacy challenges that may be introduced by autonomous agents.
E22 · 9 Oct 2025 · 47 min
Social engineering, cyberattacks, and the fog of war - all topics covered in this interview with the VP of Security and Privacy at Google DeepMind. Hannah Fry and Four Flynn take us behind the scenes of Operation Aurora, the monumental 2009 attack on Google that forever changed the landscape of cybersecurity. They discuss the defender's dilemma, the constant battle between attackers and defenders in the digital world, and how AI can potentially help mitigate some of the most complex vulnerabilities. As Hannah said, there was just too much to fit into one episode, so keep an eye on your feed…
E21 · 22 Aug 2025 · 57 min
Professor Hannah Fry speaks with Jack Parker-Holder and Shlomi Fruchter about Genie 3, a general-purpose world model that can generate an unprecedented diversity of interactive environments. The conversation covers how this model's auto-regressive nature allows for the creation of consistent, explorable worlds from text or image prompts, and how its capabilities differ from video generation models like Veo.
E33 · 1 Oct 2026 · 38 min
How do you know if what you're seeing is real? Professor Hannah Fry sits down with Pushmeet Kohli (VP of Science) and Jeremy Ratcliffe (RS) to break down SynthID, the watermarking technology expanding from text, images, and video straight into biology.
E32 · 9 Sep 2026 · 44 min
Can artificial intelligence solve one of science’s most chaotic physics puzzles? In this episode, Professor Hannah Fry sits down with Peter Battaglia, Senior Director of Research at Google DeepMind, to explore how machine learning is transforming global weather forecasting. From providing critical early warnings for Category 5 storms like Hurricane Melissa to predicting renewable energy supply and agricultural impacts, see how models like GraphCast and WeatherNext 3 are building upon decades of numerical physics to reshape our understanding of the atmosphere.
E31 · 26 Aug 2026 · 45 min
Now, if you ask an AI a question, it will usually give you an absolute answer with unwavering authority, even if that answer turns out to be wrong. In fact, today's AI seems to be missing a fundamental human trait: self-doubt. As a professor at Cambridge and VP of Research at Google DeepMind, Zoubin finds himself at the heart of an interesting debate: will improving machine uncertainty be one of the missing pieces to ever improving AI?
E30 · 10 Jul 2026 · 53 min
What if you were to peer inside the ‘mind’ of AI? You wouldn't find fully formed thoughts, just vast arrays of numbers. In this episode, Professor Hannah Fry is joined by Neel Nanda, to shine a light on an ongoing open area of research, interpretability.