
Google DeepMind: The Podcast
Hannah Fry


2 Listeners
All episodes
Best episodes
Top 10 Google DeepMind: The Podcast Episodes
Goodpods has curated a list of the 10 best Google DeepMind: The Podcast episodes, ranked by the number of listens and likes each episode have garnered from our listeners. If you are listening to Google DeepMind: The Podcast for the first time, there's no better place to start than with one of these standout episodes. If you are a fan of the show, vote for your favorite Google DeepMind: The Podcast episode by adding your comments to the episode page.

Consciousness, Reasoning and the Philosophy of AI with Murray Shanahan
Google DeepMind: The Podcast
04/24/25 • 40 min
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 AI. They explore everything from consciousness and metacognition in animals, to symbolic AI and neural networks. Murray also shares insights into his involvement with the film 'Ex Machina' and discusses the idea of reasoning, anthropomorphism, and the future of AI.
Further reading / listening:
- Toward the future, S1 Ep 7: https://youtu.be/yf31XT1G1RQ?si=6mAEsQhKwKPWk9oH
___
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
- Video Director: Bernardo Resende
- Video Editor: Alex Baro Cayetano, Bilal Merhi
- Audio Engineer: Richard Courtice
- Camera and Lighting Operator: Robert Messere
- Production Coordination: Zoey Roberts, Sarah Ellen Morton
- Visual Identity and Design: Rob Ashley
- Commissioned by Google DeepMind
___
- Subscribe to our channel to watch every episode: https://www.youtube.com/@googledeepmind
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!

1 Listener

Gaming, Goats & General Intelligence with Frederic Besse
Google DeepMind: The Podcast
09/25/24 • 40 min
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 handle autonomy. In this episode, Research Engineering Team Lead, Frederic Besse, joins Hannah as they discuss important research like SIMA (Scalable Instructable Multiworld Agent) and what we can expect from future agents that can understand and safely carry out a wide range of tasks - online and in the real world.
Further reading:
Thanks to everyone who made this possible, including but not limited to:
- Presenter: Professor Hannah Fry
- Series Producer: Dan Hardoon
- Editor: Rami Tzabar, TellTale Studios
- Commissioner & Producer: Emma Yousif
- Production support: Mo Dawoud
- Music composition: Eleni Shaw
- Camera Director and Video Editor: Tommy Bruce
- Audio Engineer: Perry Rogantin
- Video Studio Production: Nicholas Duke
- Video Editor: Bilal Merhi
- Video Production Design: James Barton
- Visual Identity and Design: Eleanor Tomlinson
- 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!

1 Listener

AI for Science with Sir Paul Nurse, Demis Hassabis, Jennifer Doudna, and John Jumper
Google DeepMind: The Podcast
11/21/24 • 54 min
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 topics like the nuclear pore complex, plastic-eating enzymes, quantum computing, and the surprising power of Turing machines. The episode also features a special 'ask me anything' session with Nobel Laureates Sir Paul Nurse, Jennifer Doudna, and John Jumper, who answer audience questions about the future of AI in science.
Watch the episode here, and catch up on all of the sessions from the AI for Science Forum here.
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!

1 Listener

Fair for all
Google DeepMind: The Podcast
03/01/22 • 33 min
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 delves into some of the most pressing and difficult ethical and social questions surrounding AI today. She explores complex issues like racial and gender bias and the misuse of AI technologies, and hears why diversity and representation is vital for building technology that works for all.
For questions or feedback on the series, message us on Twitter @DeepMind or email [email protected].
Interviewees: DeepMind’s Sasha Brown, William Isaac, Shakir Mohamed, Kevin Mckee & Obum Ekeke
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:
What a machine learning tool that turns Obama white can (and can’t) tell us about AI bias, The Verge: https://www.theverge.com/21298762/face-depixelizer-ai-machine-learning-tool-pulse-stylegan-obama-bias
Tuskegee Syphilis Study, Wikipedia: https://en.wikipedia.org/wiki/Tuskegee_Syphilis_Study
Ethics & Society, DeepMind: https://deepmind.com/about/ethics-and-society
Row over AI that 'identifies gay faces', BBC: https://www.bbc.co.uk/news/technology-41188560
The Trevor Project: https://www.thetrevorproject.org/
AI takes root, helping farmers identify diseased plants, Google: https://www.blog.google/technology/ai/ai-takes-root-helping-farmers-identity-diseased-plants/
How Can You Use Technology to Support a Culture of Inclusion and Diversity?, myHRfuture: https://www.myhrfuture.com/blog/2019/7/16/how-can-you-use-technology-to-support-a-culture-of-inclusion-and-diversity
Scholarships at DeepMind: https://www.deepmind.com/scholarships
AI, Ain’t I a Woman? Joy Buolamwini, YouTube: https://www.youtube.com/watch?v=QxuyfWoVV98
How to be Human in the Age of the Machine, Hannah Fry: https://royalsociety.org/grants-schemes-awards/book-prizes/science-book-prize/2018/hello-world/
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!

Me, myself and AI
Google DeepMind: The Podcast
02/22/22 • 35 min
AI doesn’t just exist in the lab, it’s already solving a range of problems in the real world. In this episode, Hannah encounters a realistic recreation of her voice by WaveNet, the voice synthesising system that powers the Google Assistant and helps people with speech difficulties and illnesses regain their voices. Hannah also discovers how ‘deepfake’ technology can be used to improve weather forecasting and how DeepMind researchers are collaborating with Liverpool Football Club, aiming to take sports to the next level.
For questions or feedback on the series, message us on Twitter @DeepMind or email [email protected].
Interviewees: DeepMind’s Demis Hassabis, Raia Hadsell, Karl Tuyls, Zach Gleicher & Jackson Broshear; Niall Robinson of the UK Met Office
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:
A generative model for raw audio, DeepMind: https://deepmind.com/blog/article/wavenet-generative-model-raw-audio
WaveNet case study, DeepMind: https://deepmind.com/research/case-studies/wavenet
Using WaveNet technology to reunite speech-impaired users with their original voices, DeepMind:| https://deepmind.com/blog/article/Using-WaveNet-technology-to-reunite-speech-impaired-users-with-their-original-voices
Project Euphonia, Google Research: https://sites.research.google/euphonia/about/
Nowcasting the next hour of rain, DeepMind: https://deepmind.com/blog/article/nowcasting
Now DeepMind is using AI to transform football, WIRED: https://www.wired.co.uk/article/deepmind-football-liverpool-ai
Advancing sports analytics through AI, DeepMind: https://deepmind.com/blog/article/advancing-sports-analytics-through-ai
MetOffice, BBC: https://www.metoffice.gov.uk/
The village ‘washed on to the map’, BBC: https://www.bbc.co.uk/news/uk-england-cornwall-28523053
Michael Fish got the storm of 1987 wrong, Sky News:
.
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!

The promise of AI with Demis Hassabis
Google DeepMind: The Podcast
03/15/22 • 30 min
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 [email protected].
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 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!

AI in the Classroom with Irina Jurenka
Google DeepMind: The Podcast
10/23/24 • 39 min
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 research lead, Irina Jurenka, and Professor Hannah Fry as they explore the complicated yet exciting world of AI in education.
Further reading:
Thanks to everyone who made this possible, including but not limited to:
- Presenter: Professor Hannah Fry
- Series Producer: Dan Hardoon
- Editor: Rami Tzabar, TellTale Studios
- Commissioner & Producer: Emma Yousif
- Music composition: Eleni Shaw
- Camera Director and Video Editor: Daniel Lazard
- Audio Engineer: Perry Rogantin
- Video Studio Production: Nicholas Duke
- Video Editor: Bilal Merhi
- Video Production Design: James Barton
- Visual Identity and Design: Eleanor Tomlinson
- Production support: Mo Dawoud
- 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!

Is Human Data Enough? With David Silver
Google DeepMind: The Podcast
04/10/25 • 49 min
In this episode of Google DeepMind: The Podcast, VP of Reinforcement Learning, David Silver, describes his vision for the future of AI, exploring the concept of the "era of experience" versus the current "era of human data". Using AlphaGo and AlphaZero as examples, he highlights how these systems surpassed human capabilities by engaging in reinforcement learning without prior human knowledge. This approach contrasts with large language models, which depend on human data and feedback. Silver emphasizes the need to explore this path to drive AI progress and achieve artificial superintelligence.
Timestamps
- 00:00 Introduction
- 01:50 Era of experience
- 03:45 AlphaZero
- 10:19 Move 37
- 15:20 Reinforcement learning and human feedback
- 24:30 AlphaProof
- 29:50 Math Olympiads
- 35:00 Experience based methods
- 42:56 Hannah's reflections
- 44:00 Fan Hui joins
___
Thanks to everyone who made this possible, including but not limited to:
- Presenter: Professor Hannah Fry
- Series Producer: Dan Hardoon
- Series Editor: Rami Tzabar
- Commissioner & Producer: Emma Yousif
- Music Composition: Eleni Shaw
- Audio Engineer: Richard Courtice
- Production Manager: Dan Lazard
- Video Director and Editor: Bernardo Resende
- Video Studio Production: Nicholas Duke
- 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!

AI Safety...Ok Doomer: with Anca Dragan
Google DeepMind: The Podcast
08/28/24 • 38 min
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 Hannah Fry as she delves into these critical questions with Anca Dragan, lead for AI safety and alignment at Google DeepMind.
For further reading, search "Introducing the Frontier Safety Framework" and "Evaluating Frontier Models for Dangerous Capabilities".
Thanks to everyone who made this possible, including but not limited to:
- Presenter: Professor Hannah Fry
- Series Producer: Dan Hardoon
- Editor: Rami Tzabar, TellTale Studios
- Commissioner & Producer: Emma Yousif
- Production support: Mo Dawoud
- Music composition: Eleni Shaw
- Camera Director and Video Editor: Tommy Bruce
- Audio Engineer: Perry Rogantin
- Video Studio Production: Nicholas Duke
- Video Editor: Bilal Merhi
- Video Production Design: James Barton
- Visual Identity and Design: Eleanor Tomlinson
- 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!

DeepMind: The Podcast - trailer
Google DeepMind: The Podcast
08/12/19 • 3 min
Show more best episodes

Show more best episodes
FAQ
How many episodes does Google DeepMind: The Podcast have?
Google DeepMind: The Podcast currently has 34 episodes available.
What topics does Google DeepMind: The Podcast cover?
The podcast is about Ai, Creativity, Future, Podcasts, Technology, Science, Artificial Intelligence and Machine Learning.
What is the most popular episode on Google DeepMind: The Podcast?
The episode title 'Gaming, Goats & General Intelligence with Frederic Besse' is the most popular.
What is the average episode length on Google DeepMind: The Podcast?
The average episode length on Google DeepMind: The Podcast is 37 minutes.
How often are episodes of Google DeepMind: The Podcast released?
Episodes of Google DeepMind: The Podcast are typically released every 7 days.
When was the first episode of Google DeepMind: The Podcast?
The first episode of Google DeepMind: The Podcast was released on Aug 12, 2019.
Show more FAQ

Show more FAQ