The Gradient: Perspectives on AI

143 Episodes

1. David Thorstad: Bounded Rationality and the Case Against Longtermism

   Published: 5/2/2024
2. Ryan Tibshirani: Statistics, Nonparametric Regression, Conformal Prediction

   Published: 4/25/2024
3. Sasha Luccioni: Connecting the Dots Between AI's Environmental and Social Impacts

   Published: 4/18/2024
4. Michael Sipser: Problems in the Theory of Computation

   Published: 4/11/2024
5. Andrew Lee: How AI will Shape the Future of Email

   Published: 4/4/2024
6. Joss Fong: Videomaking, AI, and Science Communication

   Published: 3/28/2024
7. Kate Park: Data Engines for Vision and Language

   Published: 3/21/2024
8. Ben Wellington: ML for Finance and Storytelling through Data

   Published: 3/14/2024
9. Venkatesh Rao: Protocols, Intelligence, and Scaling

   Published: 3/7/2024
10. Sasha Rush: Building Better NLP Systems

    Published: 2/29/2024
11. Cameron Jones & Sean Trott: Understanding, Grounding, and Reference in LLMs

    Published: 2/22/2024
12. Nicholas Thompson: AI and Journalism

    Published: 2/15/2024
13. Subbarao Kambhampati: Planning, Reasoning, and Interpretability in the Age of LLMs

    Published: 2/8/2024
14. Russ Maschmeyer: Spatial Commerce and AI in Retail

    Published: 2/1/2024
15. Benjamin Breen: The Intersecting Histories of Psychedelics and AI Research

    Published: 1/25/2024
16. Ted Gibson: The Structure and Purpose of Language

    Published: 1/18/2024
17. Harvey Lederman: Propositional Attitudes and Reference in Language Models

    Published: 1/11/2024
18. Eric Jang: AI is Good For You

    Published: 1/4/2024
19. 2023 in AI, with Nathan Benaich

    Published: 12/28/2023
20. Kathleen Fisher: DARPA and AI for National Security

    Published: 12/21/2023