147 Episodes

  1. Gil Strang: Linear Algebra and Deep Learning

    Published: 17/08/2023
  2. Anant Agarwal: AI for Education

    Published: 10/08/2023
  3. Raphaël Millière: The Vector Grounding Problem and Self-Consciousness

    Published: 4/08/2023
  4. Peli Grietzer: A Mathematized Philosophy of Literature

    Published: 27/07/2023
  5. Ryan Drapeau: Battling Fraud with ML at Stripe

    Published: 20/07/2023
  6. Shiv Rao: Enabling Better Patient Care with AI

    Published: 13/07/2023
  7. Hugo Larochelle: Deep Learning as Science

    Published: 6/07/2023
  8. Jeremie Harris: Realistic Alignment and AI Policy

    Published: 29/06/2023
  9. Antoine Blondeau: Alpha Intelligence Capital and Investing in AI

    Published: 22/06/2023
  10. Joon Park: Generative Agents and Human-Computer Interaction

    Published: 15/06/2023
  11. Christoffer Holmgård: AI for Video Games

    Published: 8/06/2023
  12. Riley Goodside: The Art and Craft of Prompt Engineering

    Published: 1/06/2023
  13. Talia Ringer: Formal Verification and Deep Learning

    Published: 25/05/2023
  14. Brigham Hyde: AI for Clinical Decision-Making

    Published: 18/05/2023
  15. Scott Aaronson: Against AI Doomerism

    Published: 11/05/2023
  16. Ted Underwood: Machine Learning and the Literary Imagination

    Published: 4/05/2023
  17. Irene Solaiman: AI Policy and Social Impact

    Published: 27/04/2023
  18. Drago Anguelov: Waymo and Autonomous Vehicles

    Published: 20/04/2023
  19. Joanna Bryson: The Problems of Cognition

    Published: 13/04/2023
  20. Daniel Situnayake: AI on the Edge

    Published: 6/04/2023

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Deeply researched, technical interviews with experts thinking about AI and technology. thegradientpub.substack.com

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