The Gradient: Perspectives on AI

147 Episodes

1. Gil Strang: Linear Algebra and Deep Learning

   Published: 8/17/2023
2. Anant Agarwal: AI for Education

   Published: 8/10/2023
3. Raphaël Millière: The Vector Grounding Problem and Self-Consciousness

   Published: 8/4/2023
4. Peli Grietzer: A Mathematized Philosophy of Literature

   Published: 7/27/2023
5. Ryan Drapeau: Battling Fraud with ML at Stripe

   Published: 7/20/2023
6. Shiv Rao: Enabling Better Patient Care with AI

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

   Published: 7/6/2023
8. Jeremie Harris: Realistic Alignment and AI Policy

   Published: 6/29/2023
9. Antoine Blondeau: Alpha Intelligence Capital and Investing in AI

   Published: 6/22/2023
10. Joon Park: Generative Agents and Human-Computer Interaction

    Published: 6/15/2023
11. Christoffer Holmgård: AI for Video Games

    Published: 6/8/2023
12. Riley Goodside: The Art and Craft of Prompt Engineering

    Published: 6/1/2023
13. Talia Ringer: Formal Verification and Deep Learning

    Published: 5/25/2023
14. Brigham Hyde: AI for Clinical Decision-Making

    Published: 5/18/2023
15. Scott Aaronson: Against AI Doomerism

    Published: 5/11/2023
16. Ted Underwood: Machine Learning and the Literary Imagination

    Published: 5/4/2023
17. Irene Solaiman: AI Policy and Social Impact

    Published: 4/27/2023
18. Drago Anguelov: Waymo and Autonomous Vehicles

    Published: 4/20/2023
19. Joanna Bryson: The Problems of Cognition

    Published: 4/13/2023
20. Daniel Situnayake: AI on the Edge

    Published: 4/6/2023