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Google DeepMind: The Podcast

Google DeepMind: The Podcast

Hannah Fry

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.
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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.

Google DeepMind: The Podcast - Consciousness, Reasoning and the Philosophy of AI with Murray Shanahan
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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:

___

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!

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Google DeepMind: The Podcast - Gaming, Goats & General Intelligence with Frederic Besse
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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!

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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!

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Google DeepMind: The Podcast - Fair for all

Fair for all

Google DeepMind: The Podcast

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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!

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Google DeepMind: The Podcast - Me, myself and AI

Me, myself and AI

Google DeepMind: The Podcast

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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:

https://news.sky.com/story/michael-fish-got-the-storm-of-1987-wrong-but-modern-supercomputers-may-have-missed-it-too-11076659#:~:text=In%20a%20lunchtime%20broadcast%20on,%2C%22%20he%20confidently%20told%20viewers

.

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!

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Google DeepMind: The Podcast - The promise of AI with Demis Hassabis

The promise of AI with Demis Hassabis

Google DeepMind: The Podcast

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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!

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Google DeepMind: The Podcast - AI in the Classroom with Irina Jurenka

AI in the Classroom with Irina Jurenka

Google DeepMind: The Podcast

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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!

bookmark
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Google DeepMind: The Podcast - Is Human Data Enough? With David Silver

Is Human Data Enough? With David Silver

Google DeepMind: The Podcast

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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!

bookmark
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share episode
Google DeepMind: The Podcast - AI Safety...Ok Doomer: with Anca Dragan

AI Safety...Ok Doomer: with Anca Dragan

Google DeepMind: The Podcast

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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!

bookmark
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Google DeepMind: The Podcast - DeepMind: The Podcast - trailer

DeepMind: The Podcast - trailer

Google DeepMind: The Podcast

play

08/12/19 • 3 min

Selected as “New and Noteworthy” by Apple Podcasts, the highly-praised, award-nominated first season of "DeepMind: The Podcast" explores the fascinating world of artificial intelligence (AI). Join mathematician and broadcaster Hannah Fry as she meets world-class scientists and thinkers as they explain the foundations of AI, explore some of the challenges the field is wrestling with, and dives into the research that's led to breakthroughs like AlphaGo and AlphaFold. Whether you’re a beginner or an experienced researcher, join our journey into the past, present, and future of AI. “I hope what people are going to get out of this series is a better understanding of artificial intelligence, and I hope they also get a great feeling for how exhilarating an endeavour and a journey we’re on.” - Demis Hassabis, CEO and co-founder of DeepMind If you have a question or feedback on the series, message us on Twitter @DeepMind using the hashtag #DMpodcast) or email us at [email protected]. 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!
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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.

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