Google DeepMind: The Podcast

by Hannah Fry · Google DeepMind

Interview podcast hosted by Hannah Fry with DeepMind researchers and others on AI in science, weather, safety and AGI. Running since 2019; Apple lists fortnightly, but recent gaps exist. Free, 51 episodes (30 Sept 2026), for non-specialists.

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Read at Sourcedeepmind.google

At a Glance

Format

Podcast

Author

Hannah Fry

Source

Google DeepMind

Highlights

What it is

A conversation podcast from Google DeepMind, hosted by the mathematician and broadcaster Professor Hannah Fry. Each episode is a long interview, typically 43 to 54 minutes on the recent episodes listed by Apple Podcasts, with a researcher or leader working on a specific problem.

What it covers

Recent episodes include "Can AI help us better predict the weather?" (9 September 2026), "The mathematics of AI uncertainty" (26 August 2026), "Understanding the inner thoughts of AI" (10 July 2026) and "When millions of AI agents meet" (23 June 2026). Earlier episodes feature Demis Hassabis, Shane Legg and John Jumper, plus a two-part episode on AI and cyber threats. Topics run from AlphaFold and AlphaGo to robotics, healthcare and AI philosophy.

Cadence and back catalogue

Apple Podcasts lists the schedule as fortnightly, says the show has run since 2019, and shows 51 episodes (seen 30 September 2026). The dates in the feed are less regular: there is a gap between 10 March and 23 June 2026, so treat "fortnightly" as a label, not a promise. Episodes are also on YouTube, Spotify and iHeartRadio, according to the show's page.

Who it suits

Listeners who want an accessible, research-led view of AI without needing a technical background. The show describes itself as "no hype, no spin", but it is made by Google DeepMind, so the guests and subject matter lean toward the lab's own work and people. It is a good fit for the science and society angle.

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