Hannah wraps up the series by meeting DeepMind co-founder and CEO, Demis Hassabis. In an extended interview, Demis describes why he believes AGI is possible, how we can get there, and the problems he hopes it will solve. Along the way, he highlights the important role of consciousness and why he’s so optimistic that AI can help solve many of the world’s major challenges. As a final note, Demis shares the story of a personal meeting with Stephen Hawking to discuss the future of AI and discloses Hawking’s parting message.
For questions or feedback on the series, message us on Twitter @DeepMind or email podcast@deepmind.com.
Interviewee: Deepmind co-founder and CEO, Demis Hassabis
Credits
Presenter: Hannah Fry
Series Producer: Dan Hardoon
Production support: Jill Achineku
Sounds design: Emma Barnaby
Music composition: Eleni Shaw
Sound Engineer: Nigel Appleton
Editor: David Prest
Commissioned by DeepMind
Thank you to everyone who made this season possible!
Further reading:
DeepMind, The Podcast: https://deepmind.com/blog/article/welcome-to-the-deepmind-podcast
DeepMind’s Demis Hassabis on its breakthrough scientific discoveries, WIRED: https://www.youtube.com/watch?v=2WRow9FqUbw
Riemann hypothesis, Wikipedia: https://en.wikipedia.org/wiki/Riemann_hypothesis
Using AI to accelerate scientific discovery by Demis Hassabis, Kendrew Lecture 2021: https://www.youtube.com/watch?v=sm-VkgVX-2o
Protein Folding & the Next Technological Revolution by Demis Hassabis, Bloomberg: https://www.youtube.com/watch?v=vhd4ENh5ON4
The Algorithm, MIT Technology Review: https://forms.technologyreview.com/newsletters/ai-the-algorithm/
Machine learning resources, The Royal Society: https://royalsociety.org/topics-policy/education-skills/teacher-resources-and-opportunities/resources-for-teachers/resources-machine-learning/
How to get empowered, not overpowered, by AI, TED: https://www.youtube.com/watch?v=2LRwvU6gEbA
Please subscribe on your preferred podcast platform. Want to share feedback? Why not leave a review? Have a suggestion for a guest that we should have on next? Leave us a comment on YouTube and stay tuned for future episodes.
Плейлист
Google DeepMind: The Podcast
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 imposs...
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.youtub...
Further readingLevels of AGI paper: https://arxiv.org/abs/2311.02462The road to AGI (Google DeepMind Podcast, S2): https://youtu.be/Uy4OYU7PQYAThanks to everyone who made this possible, including but...
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/d95J8yzvjbQThank you to everyone w...
Learn more about Waymo: https://waymo.com/Thank you to everyone who made this possible, including but not limited to: Presenter: Professor Hannah FrySeries Producer: Dan HardoonEditor: Rami TzabarComm...
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 engin...
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-securi...
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 enviro...
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...
Further reading:Natural forests of the world: paper, data and benchmarksForest loss drivers: paper, summary from WRI, and blog from GFWForest loss drivers code: Google Earth Engine; at WRI; at GFW; or...
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...
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 i...
Further reading:Med-Gemini AMIEThanks to everyone who made this possible, including but not limited to: Presenter: Professor Hannah FrySeries Producer: Dan HardoonEditor: Rami TzabarCommissioner & Pro...
In this episode, Hannah is once again joined by Murray Shanahan, Professor of Cognitive Robotics at Imperial College London and Principal Scientist at Google DeepMind, for a philosophical deep dive on...
Timestamps 00:00 Introduction01:50 Era of experience03:45 AlphaZero10:19 Move 3715:20 Reinforcement learning and human feedback24:30 AlphaProof29:50 Math Olympiads35:00 Experience based methods42:56 H...
In our final episode for the year, we explore Project Astra, a research prototype exploring future capabilities of a universal AI assistant that can understand the world around you. Host Hannah Fry is...
In this episode, Hannah is joined by Oriol Vinyals, VP of Drastic Research and Gemini co-lead. They discuss the evolution of agents from single-task models to more general-purpose models capable of br...
There is broad consensus across the tech industry, governments and society, that as artificial intelligence becomes more embedded in every aspect of our world, regulation will be essential. But what d...
NotebookLM is a research assistant powered by Gemini that draws on expertise from storytelling to present information in an engaging way. It allows users to upload their own documents and generate ins...
Join Professor Hannah Fry at the AI for Science Forum for a fascinating conversation with Google DeepMind CEO Demis Hassabis. They explore how AI is revolutionizing scientific discovery, delving into...
Imagine a future where we interact regularly with a range of advanced artificial intelligence (AI) assistants — and where millions of assistants interact with each other on our behalf. These experienc...
How human should an AI tutor be? What does ‘good’ teaching look like? Will AI lead in the classroom, or take a back seat to human instruction? Will everyone have their own personalized AI tutor? Join...
In this episode, Professor Hannah Fry sits down with Pushmeet Kohli, VP of Research at Google DeepMind to discuss AI’s impact on scientific discovery. They go on a whirlwind tour of scientific project...
Games are a very good training ground for agents. Think about it. Perfectly packaged, neatly constrained environments where agents can run wild, work out the rules for themselves, and learn how to han...
Professor Hannah Fry is joined by Jeff Dean, one of the most legendary figures in computer science and chief scientist of Google DeepMind and Google Research. Jeff was instrumental to the field in the...
Building safe and capable models is one of the greatest challenges of our time. Can we make AI work for everyone? How do we prevent existential threats? Why is alignment so important? Join Professor...
Professor Hannah Fry is joined by Google DeepMind's senior research director Douglas Eck to explore AI's capacity for true creativity. They delve into the complexities of defining creativity, the chal...
It has been a few years since Google DeepMind CEO and co-founder, Demis Hassabis, and Professor Hannah Fry caught up.In that time, the world has caught on to artificial intelligence—in a big way. List...
Hannah wraps up the series by meeting DeepMind co-founder and CEO, Demis Hassabis. In an extended interview, Demis describes why he believes AGI is possible, how we can get there, and the problems he...
AI needs to benefit everyone, not just those who build it. But fulfilling this promise requires careful thought before new technologies are built and released into the world. In this episode, Hannah d...