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. Long before the current wave of large language models, one academic researcher was trying to give machines a sense of their own limitations. Zoubin Ghahramani has spent the last 30 years pioneering a type of intelligence built on the mathematics of uncertainty. Today, as a professor at Cambridge and VP of Research at Google DeepMind, Zoubin finds himself at the heart of another interesting debate: will improving machine uncertainty be one of the missing pieces to ever improving AI? Timecodes: * 00:00 Introduction * 01:06 The role of uncertainty * 07:45 Correctness vs confidence * 09:40 Historical perspectives * 16:10 Bayesian thinking in AI * 26:30 Uncertainty in the real world * 36:42 Future research and AGI Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Neel and his team are trying to do something phenomenally difficult: understand an intelligence that didn't come with a manual. Together, they explore the cutting-edge "neuroscience" of artificial intelligence—revealing the surprising, elegant structures being discovered inside these networks (like spare autoencoders), the inherent limits of looking under the hood, and why interpretability is absolutely essential if we are to build safe, aligned and trustworthy AI as we move towards AGI. Learn more about this area of research via https://deepmind.google/ Timecodes * 00:00 Introduction * 02:41 Motivation for interpretability research * 04:01 Mechanistic interpretability * 08:14 Chain of thought monitoring * 18:14 Interpretability techniques * 35:00 Auditing models for safety * 48:53 What comes next for interpretability Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Timecodes: * 00:00 Intro * 1:07 Defining AI agents * 4:44 Agentic exploration in science and research * 15:46 Delegation between agents * 22:46 Agentic security and traps * 29:31 Building an agentic economy * 33:22 Cognitive monoculture * 36:29 Distributed intelligence To read the research, search for: Distributional AGI Safety, May 2026 Intelligent AI Delegation, February 2026 Virtual Agent Economies, September 2025 Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Seoul, March 2016. Two players sit hunched over a 19x19 grid covered in a sea of black and white stones. They are playing the ancient game of Go - a game of unimaginable complexity long thought impossible for a machine to master. On one side is Lee Sedol (Sae Dol), a legendary 18-time Go world champion. On the other, AlphaGo, a neural network based AI system built on a powerful technique called reinforcement learning. In the blink of an eye, the world changed. Exactly one decade later, we look back at the match that sparked the modern AI revolution. From algorithmic discovery to the solving of scientific grand challenges like protein folding, the foundation was laid right there on that wooden board. Join Hannah Fry, Pushmeet Kohli (VP, Science) and Thore Graepel (AlphaGo team & Distinguished Research Scientist) as they unpick the legacy of AlphaGo. 🎥 AlphaGo https://youtu.be/WXuK6gekU1Y 🎥 The Thinking Game: https://youtu.be/d95J8yzvjbQ Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Thanks for joining us this year. 🔔 Subscribe to stay updated on our return in 2026, and revisit our episode library to catch up on everything from driverless cars to drug discovery: https://www.youtube.com/playlist?list=PLqYmG7hTraZBiUr6_Qf8YTS2Oqy3OGZEj Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Further reading Levels of AGI paper: https://arxiv.org/abs/2311.02462 The road to AGI (Google DeepMind Podcast, S2): https://youtu.be/Uy4OYU7PQYA Thanks to everyone who made this possible, including but not limited to: * Presenter: Professor Hannah Fry * Series Producer: Dan Hardoon * Editor: Rami Tzabar * Commissioner & Producer: Emma Yousif * Music composition: Eleni Shaw * Audio engineer: Richard Courtice Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Learn more about AlphaFold: https://deepmind.google/science/alphafold/ Watch the story behind AlphaFold in The Thinking Game, now available for free: https://youtu.be/d95J8yzvjbQ Thank you to everyone who made this possible, including but not limited to: * Presenter: Professor Hannah Fry * Series Producer: Dan Hardoon * Editor: Rami Tzabar * Commissioner & Producer: Emma Yousif * Music composition: Eleni Shaw * Audio engineer: Richard Courtice * Video editor: Anthony Le * Audio engineer: Perry Rogantin * Visual identity: Rob Ashley * Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Learn more about Waymo: https://waymo.com/ Thank you to everyone who made this possible, including but not limited to: * Presenter: Professor Hannah Fry * Series Producer: Dan Hardoon * Editor: Rami Tzabar * Commissioner & Producer: Emma Yousif * Music composition: Eleni Shaw * Audio engineer: Richard Courtice * Video editor: Anthony Le * Audio engineer: Perry Rogantin * Visual identity: Rob Ashley * Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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. Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Further reading: * CodeMender: https://deepmind.google/discover/blog/introducing-codemender-an-ai-agent-for-code-security/ * Cybersecurity at Google: https://blog.google/technology/safety-security/ai-security-frontier-strategy-tools/ * Threat intelligence report: https://cloud.google.com/blog/topics/threat-intelligence/adversarial-misuse-generative-ai Thanks to everyone who made this possible, including but not limited to: * Presenter: Professor Hannah Fry * Series Producer: Dan Hardoon * Editor: Rami Tzabar * Commissioner & Producer: Emma Yousif * Music composition: Eleni Shaw * Audio engineer: Richard Courtice * Video editor: Bilal Merhi * Audio engineer: Perry Rogantin * Visual identity: Rob Ashley * Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, 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. Further reading * Genie 3 * SIMA, A generalist AI agent for 3D virtual environments * SIMA, Google DeepMind: The Podcast * xLand Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

This week's episode is a slight departure from our usual deep dives. Join Paige Bailey, DevRel lead, as she guides Hannah Fry though some of her favorite AI tools. Having spent years understanding the 'what' of these models, Hannah finally gets to experience the 'how’ – from generating prompts and 'vibe coding', to creating her own version of the infamous spaghetti meme. Learn more and try the tools yourself: * Gemini: https://gemini.google.com/ * Google Labs: https://labs.google/ * AI Studio: https://aistudio.google.com/ * Veo 3: https://deepmind.google/models/veo/ * Flow: https://labs.google/flow/ Thanks to everyone who made this possible, including but not limited to: * Presenter: Professor Hannah Fry * Series Producer: Dan Hardoon * Editor: Rami Tzabar * Commissioner & Producer: Emma Yousif * Music composition: Eleni Shaw * Audio engineer: Richard Courtice * Production Manager: Dan Lazard * Studio Manager: Nicholas Duke * Video Director: Bernardo Resende * Video Editor: Bilal Merhi * Audio Engineer: Perry Rogantin * Camera and Lighting Operator: Robert Messere * Production Coordination: Zoey Roberts, Sarah Ellen Morton * Visual Identity and Design: Rob Ashley * Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Further reading: * Natural forests of the world: paper, data and benchmarks * Forest loss drivers: paper, summary from WRI, and blog from GFW * Forest loss drivers code: Google Earth Engine; at WRI; at GFW; or Zenodo. * Deep learning based remote sensing (open source): Jeo, GeeFlow * Species mapping paper: Arxiv * Google resources: Google Earth Engine. Agri with Google, wildlife cameras * Perch: code, paper * Perch x coral reefs: Blog * Agile Modelling: paper, code * DolphinGemma: blog Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, host Hannah Fry is joined by Max Jaderberg and Rebecca Paul of Isomorphic Labs to explore the future of drug discovery in the age of AI. They discuss how new technology, particularly AlphaFold 3, is revolutionizing the field by predicting the structure of life’s molecules, paving the way for faster and more efficient drug discovery. They dig into the immense complexities of designing new drugs: How do you find the right molecular key for the right biological lock? How can AI help scientists understand disease better and overcome challenges like drug toxicity? And what about the diseases that are currently considered “undruggable”? Finally, they explore the ultimate impact of this technology, from the future of personalised medicine to the ambitious goal of being able to eventually design treatments for all diseases. Further reading: * AlphaFold 3: https://www.nature.com/articles/s41586-024-07487-w * AlphaFold Server: https://alphafoldserver.com/ * Isomorphic Labs: https://www.isomorphiclabs.com/ * AlphaFold 3 code and weights: https://github.com/google-deepmind/alphafold3 Thanks to everyone who made this possible, including but not limited to: * Presenter: Professor Hannah Fry * Series Producer: Dan Hardoon * Editor: Rami Tzabar * Commissioner & Producer: Emma Yousif * Music composition: Eleni Shaw * Audio engineer: Richard Courtice * Production Manager: Dan Lazard * Studio Manager: Nicholas Duke * Video Director: Bernardo Resende * Video Editor: Bilal Merhi * Audio Engineer: Perry Rogantin * Camera and Lighting Operator: Robert Messere * Production Coordination: Zoey Roberts, Sarah Ellen Morton * Visual Identity and Design: Rob Ashley * Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Hannah is joined by Carolina Parada, Senior Director and Head of Robotics at Google DeepMind. They explore the recent leap forward in robotic capabilities, highlighting advancements in multimodal understanding and embodied reasoning, which enable robots to interact with the physical world with unprecedented generality. They dig into the two-system approach - ‘slow and fast thinking‘ - that enables both complex reasoning and rapid, reactive movements. Using examples from robots learning dexterous tasks such as tying shoelaces to adapting to entirely new scenarios in real-time, Parada highlights how key breakthroughs in understanding, dexterity, and control are now coming together to rapidly advance robotics unlike ever before. Further reading/viewing: * Gemini Robotics * Advances in robot dexterity * Gemini Robotics x YouTube Thanks to everyone who made this possible, including but not limited to: * Presenter: Professor Hannah Fry * Series Producer: Dan Hardoon * Editor: Rami Tzabar * Commissioner & Producer: Emma Yousif * Music: Eleni Shaw * Audio Engineer: Richard Courtice * Production Manager: Dan Lazard * Video Studio Production: Nicholas Duke Video * Director: Bernardo Resende * Video Editor: Bilal Merhi * Audio Engineer: Perry Rogantin * Camera and Lighting Operator: Robert Messere * Production Coordination: Zoey Roberts, Sarah Ellen Morton * Visual Identity and Design: Rob Ashley * Commissioned by Google DeepMind Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Please leave us a review on Spotify or Apple Podcasts if you enjoyed this episode. We always want to hear from our audience whether that's in the form of feedback, new idea or a guest recommendation! Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.