The Gradient: Perspectives on AI

147 Episodes

1. Harvey Lederman: Propositional Attitudes and Reference in Language Models

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

   Published: 1/4/2024
3. 2023 in AI, with Nathan Benaich

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

   Published: 12/21/2023
5. Peter Tse: The Neuroscience of Consciousness and Free Will

   Published: 12/14/2023
6. Vera Liao: AI Explainability and Transparency

   Published: 12/7/2023
7. Thomas Dietterich: From the Foundations

   Published: 11/30/2023
8. Martin Wattenberg: ML Visualization and Interpretability

   Published: 11/16/2023
9. Laurence Liew: AI Singapore

   Published: 11/9/2023
10. Michael Levin & Adam Goldstein: Intelligence and its Many Scales

    Published: 11/2/2023
11. Jonathan Frankle: From Lottery Tickets to LLMs

    Published: 10/26/2023
12. Nao Tokui: "Surfing" Musical Creativity with AI

    Published: 10/19/2023
13. Divyansh Kaushik: The Realities of AI Policy

    Published: 10/12/2023
14. Tal Linzen: Psycholinguistics and Language Modeling

    Published: 10/5/2023
15. Kevin K. Yang: Engineering Proteins with ML

    Published: 9/28/2023
16. Arjun Ramani & Zhengdong Wang: Why Transformative AI is Really, Really Hard to Achieve

    Published: 9/21/2023
17. Miles Grimshaw: Benchmark, LangChain, and Investing in AI

    Published: 9/14/2023
18. Shreya Shankar: Machine Learning in the Real World

    Published: 9/7/2023
19. Stevan Harnad: AI's Symbol Grounding Problem

    Published: 8/31/2023
20. Terry Winograd: AI, HCI, Language, and Cognition

    Published: 8/24/2023