The Gradient: Perspectives on AI

Episode 122 I spoke with Azeem Azhar about: * The speed of progress in AI * Historical context for some of the terminology we use and how we think about technology * What we might want our future to look like Azeem is an entrepreneur, investor, and adviser. He is the creator of Exponential View, a global platform for i

Episode 122 I spoke with Professor David Thorstad about: * The practical difficulties of doing interdisciplinary work * Why theories of human rationality should account for boundedness, heuristics, and other cognitive limitations * why EA epistemics suck (ok, it’s a little more nuanced than that) Professor Thorstad is

Episode 121 I spoke with Professor Ryan Tibshirani about: * Differences between the ML and statistics communities in scholarship, terminology, and other areas. * Trend filtering * Why you can’t just use garbage prediction functions when doing conformal prediction Ryan is a Professor in the Department of Statistics at U

In episode 120 of The Gradient Podcast, Daniel Bashir speaks to Sasha Luccioni. Sasha is the AI and Climate Lead at HuggingFace, where she spearheads research, consulting, and capacity-building to elevate the sustainability of AI systems. A founding member of Climate Change AI (CCAI) and a board member of Women in Mach

In episode 119 of The Gradient Podcast, Daniel Bashir speaks to Professor Michael Sipser. Professor Sipser is the Donner Professor of Mathematics and member of the Computer Science and Artificial Intelligence Laboratory at MIT. He received his PhD from UC Berkeley in 1980 and joined the MIT faculty that same year. He w

In episode 118 of The Gradient Podcast, Daniel Bashir speaks to Andrew Lee. Andrew is co-founder and CEO of Shortwave, a company dedicated to building a better product experience for email, particularly by leveraging AI. He previously co-founded and was CTO at Firebase. Have suggestions for future podcast guests (or ot