• The promise of AI with Demis Hassabis

  • Mar 15 2022
  • Durata: 30 min
  • Podcast
The promise of AI with Demis Hassabis copertina

The promise of AI with Demis Hassabis

  • Riassunto

  • 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

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Sintesi dell'editore

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

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