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Google DeepMind: The Podcast Transcripts

Hannah Fry · 52 episodes with transcripts

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.

Spoken has transcripts of 52 Google DeepMind: The Podcast episodes, with the speakers named. The newest listed here is from October 1, 2026.

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Every Google DeepMind: The Podcast transcript in one script

52 episodes of Google DeepMind: The Podcast have transcripts. Fetch them all as speaker-labeled Markdown in one script — 1 credit each, and re-fetching one you already have is free:

archive.sh
curl -s -H "x-api-key: YOUR_KEY" \
  https://spoken.md/podcasts/1476316441/episodes \
  | jq -r '.episodes[] | "\(.id) \(.title)"' \
  | while IFS=' ' read -r id title; do
      slug=$(echo "$title" | tr '[:upper:]' '[:lower:]' | tr -cs 'a-z0-9' '-' | sed 's/-*$//')
      [ -f "${id}-${slug}.md" ] && continue
      curl -sf -H "x-api-key: YOUR_KEY" \
        -o "${id}-${slug}.md" \
        https://spoken.md/transcripts/$id || rm -f "${id}-${slug}.md"
      sleep 0.34
    done

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Latest Google DeepMind: The Podcast transcripts

From deepfakes to DNA: the science of watermarking AI

October 1, 2026

Hannah Fry (0:00)

Welcome back to Google DeepMind the podcast. I'm Professor Hannah Fry.

Picture the scene. You are scrolling through your socials, and you see some remarkable footage, the up close slow motion eruption of a volcano, or a tornado raging through a village, or perhaps some footage of a protest. I think many of us ask the same question, is that real? Was this made by a human or a machine?…

Jeremy Radcliffe (1:38)

So for biology, sort of the motivation for being able to watermarking is so that we can have provenance and say specifically, where did this sequence come from? And really what we're trying to differentiate is between sequences that come from things in nature versus sequences that come as products of AI systems. So…

Hannah Fry (2:07)

And what makes a good watermark? Because I think when people consider the phrase, they sort of think of, I don't know, like banknotes or like passports, is there like rules for what counts as a good watermark?

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