The Gradient: Perspectives on AI
A podcast by Daniel Bashir - Thursdays
Categories:
146 Episodes
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Eric Jang: AI is Good For You
Published: 1/4/2024 -
2023 in AI, with Nathan Benaich
Published: 12/28/2023 -
Kathleen Fisher: DARPA and AI for National Security
Published: 12/21/2023 -
Peter Tse: The Neuroscience of Consciousness and Free Will
Published: 12/14/2023 -
Vera Liao: AI Explainability and Transparency
Published: 12/7/2023 -
Thomas Dietterich: From the Foundations
Published: 11/30/2023 -
Martin Wattenberg: ML Visualization and Interpretability
Published: 11/16/2023 -
Laurence Liew: AI Singapore
Published: 11/9/2023 -
Michael Levin & Adam Goldstein: Intelligence and its Many Scales
Published: 11/2/2023 -
Jonathan Frankle: From Lottery Tickets to LLMs
Published: 10/26/2023 -
Nao Tokui: "Surfing" Musical Creativity with AI
Published: 10/19/2023 -
Divyansh Kaushik: The Realities of AI Policy
Published: 10/12/2023 -
Tal Linzen: Psycholinguistics and Language Modeling
Published: 10/5/2023 -
Kevin K. Yang: Engineering Proteins with ML
Published: 9/28/2023 -
Arjun Ramani & Zhengdong Wang: Why Transformative AI is Really, Really Hard to Achieve
Published: 9/21/2023 -
Miles Grimshaw: Benchmark, LangChain, and Investing in AI
Published: 9/14/2023 -
Shreya Shankar: Machine Learning in the Real World
Published: 9/7/2023 -
Stevan Harnad: AI's Symbol Grounding Problem
Published: 8/31/2023 -
Terry Winograd: AI, HCI, Language, and Cognition
Published: 8/24/2023 -
Gil Strang: Linear Algebra and Deep Learning
Published: 8/17/2023
Deeply researched, technical interviews with experts thinking about AI and technology. thegradientpub.substack.com