『Google DeepMind: The Podcast』のカバーアート

Google DeepMind: The Podcast

Google DeepMind: The Podcast

著者: Hannah Fry
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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.Google DeepMind Technologies Limited 2022 科学
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  • Understanding the inner thoughts of AI
    2026/07/10

    Neel and his team are trying to do something phenomenally difficult: understand an intelligence that didn't come with a manual. Together, they explore the cutting-edge "neuroscience" of artificial intelligence—revealing the surprising, elegant structures being discovered inside these networks (like spare autoencoders), the inherent limits of looking under the hood, and why interpretability is absolutely essential if we are to build safe, aligned and trustworthy AI as we move towards AGI. Learn more about this area of research via https://deepmind.google/

    Timecodes

    • 00:00 Introduction
    • 02:41 Motivation for interpretability research
    • 04:01 Mechanistic interpretability
    • 08:14 Chain of thought monitoring
    • 18:14 Interpretability techniques
    • 35:00 Auditing models for safety
    • 48:53 What comes next for interpretability

    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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    53 分
  • When millions of AI agents meet
    2026/06/23

    Timecodes:

    • 00:00 Intro
    • 1:07 Defining AI agents
    • 4:44 Agentic exploration in science and research
    • 15:46 Delegation between agents
    • 22:46 Agentic security and traps
    • 29:31 Building an agentic economy
    • 33:22 Cognitive monoculture
    • 36:29 Distributed intelligence

    To read the research, search for: Distributional AGI Safety, May 2026 Intelligent AI Delegation, February 2026 Virtual Agent Economies, September 2025

    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!


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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    43 分
  • 10 Years of AlphaGo: The Turning Point for AI | Thore Graepel & Pushmeet Kohli
    2026/03/10

    Seoul, March 2016. Two players sit hunched over a 19x19 grid covered in a sea of black and white stones. They are playing the ancient game of Go - a game of unimaginable complexity long thought impossible for a machine to master. On one side is Lee Sedol (Sae Dol), a legendary 18-time Go world champion. On the other, AlphaGo, a neural network based AI system built on a powerful technique called reinforcement learning. In the blink of an eye, the world changed. Exactly one decade later, we look back at the match that sparked the modern AI revolution. From algorithmic discovery to the solving of scientific grand challenges like protein folding, the foundation was laid right there on that wooden board.

    Join Hannah Fry, Pushmeet Kohli (VP, Science) and Thore Graepel (AlphaGo team & Distinguished Research Scientist) as they unpick the legacy of AlphaGo.

    🎥 AlphaGo https://youtu.be/WXuK6gekU1Y

    🎥 The Thinking Game: https://youtu.be/d95J8yzvjbQ

    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!


    Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

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    54 分
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