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The Gradient: Perspectives on AI

Deeply researched, technical interviews with experts thinking about AI and technology.

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Episodes

Kate Park: Data Engines for Vision and Language

In episode 116 of The Gradient Podcast, Daniel Bashir speaks to Kate Park . Kate is the Director of Product at Scale AI. Prior to joining Scale, Kate worked on Tesla Autopilot as the AI team’s first and lead product manager building the industry’s first data engine. She has also published research on spoken natural language processing and a travel memoir. Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pub Subscribe to The Gradie...

Mar 21, 202442 min

Ben Wellington: ML for Finance and Storytelling through Data

In episode 115 of The Gradient Podcast, Daniel Bashir speaks to Ben Wellington. Ben is the Deputy Head of Feature Forecasting at Two Sigma, a financial sciences company. Ben has been at Two Sigma for more than 15 years, and currently leads efforts focused on natural language processing and feature forecasting. He is also the author of data science blog I Quant NY, which has influenced local government policy, including changes in NYC street infrastructure and the design of NYC subway vending mac...

Mar 14, 20241 hr 8 min

Venkatesh Rao: Protocols, Intelligence, and Scaling

“There is this move from generality in a relative sense of ‘we are not as specialized as insects’ to generality in the sense of omnipotent, omniscient, godlike capabilities. And I think there's something very dangerous that happens there, which is you start thinking of the word ‘general’ in completely unhinged ways.” In episode 114 of The Gradient Podcast, Daniel Bashir speaks to Venkatesh Rao . Venkatesh is a writer and consultant. He has been writing the widely read Ribbonfarm blog since 2007,...

Mar 07, 20242 hr 19 min

Sasha Rush: Building Better NLP Systems

In episode 113 of The Gradient Podcast, Daniel Bashir speaks to Professor Sasha Rush . Professor Rush is an Associate Professor at Cornell University and a Researcher at HuggingFace. His research aims to develop natural language processing systems that are safe, fast, and controllable. His group is interested primarily in tasks that involve text generation, and they study data-driven probabilistic methods that combine deep-learning based models with probabilistic controls. He is also interested ...

Feb 29, 202454 min

Cameron Jones & Sean Trott: Understanding, Grounding, and Reference in LLMs

In episode 112 of The Gradient Podcast, Daniel Bashir speaks to Cameron Jones and Sean Trott. Cameron is a PhD candidate in the Cognitive Science Department at the University of California, San Diego. His research compares how humans and large language models process language about world knowledge, situation models, and theory of mind. Sean is an Assistant Teaching Professor in the Cognitive Science Department at the University of California, San Diego. His research interests include probing lar...

Feb 22, 20241 hr 59 min

Nicholas Thompson: AI and Journalism

In episode 111 of The Gradient Podcast, Daniel Bashir speaks to Nicholas Thompson . Nicholas is the CEO of The Atlantic . Previously, he served as editor-in-chief of Wired and editor of Newyorker.com. Nick also cofounded Atavist, which sold to Automattic in 2018. Publications under Nick’s leadership have won numerous National Magazine Awards and Pulitzer Prizes, and one WIRED story he edited was the basis for the movie Argo . Nick is also the co-founder of Speakeasy AI, a software platform desig...

Feb 15, 20241 hr

Subbarao Kambhampati: Planning, Reasoning, and Interpretability in the Age of LLMs

In episode 110 of The Gradient Podcast, Daniel Bashir speaks to Professor Subbarao Kambhampati . Professor Kambhampati is a professor of computer science at Arizona State University. He studies fundamental problems in planning and decision making, motivated by the challenges of human-aware AI systems. He is a fellow of the Association for the Advancement of Artificial Intelligence, American Association for the Advancement of Science, and Association for Computing machinery, and was an NSF Young ...

Feb 08, 20241 hr 59 min

Russ Maschmeyer: Spatial Commerce and AI in Retail

In episode 109 of The Gradient Podcast, Daniel Bashir speaks to Russ Maschmeyer . Russ is the Product Lead for AI and Spatial Commerce at Shopify. At Shopify, he leads a team that looks at how AI can better empower entrepreneurs, with a particular interest in how image generation can help make the lives of business owners and merchants more productive. He previously led design for multiple services at Facebook and co-founded Primer, an AR-enabled interior design marketplace. Have suggestions for...

Feb 01, 202456 min

Benjamin Breen: The Intersecting Histories of Psychedelics and AI Research

In episode 108 of The Gradient Podcast, Daniel Bashir speaks to Professor Benjamin Breen . Professor Breen is an associate professor of history at UC Santa Cruz specializing in the history of science, medicine, globalization, and the impacts of technological change. He is the author of multiple books including The Age of Intoxication: Origins of the Global Drug Trade and the more recent Tripping on Utopia: Margaret Mead, the Cold War, and the Troubled Birth of Psychedelic Science , which you can...

Jan 25, 20241 hr 8 min

Ted Gibson: The Structure and Purpose of Language

In episode 107 of The Gradient Podcast, Daniel Bashir speaks to Professor Ted Gibson . Ted is a Professor of Cognitive Science at MIT. He leads the TedLab, which investigates why languages look the way they do; the relationship between culture and cognition, including language; and how people learn, represent, and process language. Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pub Subscribe to The Gradient Podcast: Apple Podcas...

Jan 18, 20242 hr 13 min

Harvey Lederman: Propositional Attitudes and Reference in Language Models

In episode 106 of The Gradient Podcast, Daniel Bashir speaks to Professor Harvey Lederman . Professor Lederman is a professor of philosophy at UT Austin. He has broad interests in contemporary philosophy and in the history of philosophy: his areas of specialty include philosophical logic, the Ming dynasty philosopher Wang Yangming, epistemology, and philosophy of language. He has recently been working on incomplete preferences, on trying in the philosophy of language, and on Wang Yangming’s mora...

Jan 11, 20242 hr 11 min

Eric Jang: AI is Good For You

In episode 105 of The Gradient Podcast, Daniel Bashir speaks to Eric Jang . Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pub Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Follow The Gradient on Twitter Outline : * (00:00) Intro * (01:25) Updates since Eric’s last interview * (06:07) The problem space of humanoid robots * (08:42) Motivations for the book “AI is Good for You” * (12:20) Definiti...

Jan 04, 20241 hr 30 min

2023 in AI, with Nathan Benaich

In episode 104 of The Gradient Podcast, Daniel Bashir speaks to Nathan Benaich . Nathan is Founder and General Partner at Air Street Capital, a VC firm focused on investing in AI-first technology and life sciences companies. Nathan runs a number of communities focused on AI including the Research and Applied AI Summit and leads Spinout.fyi to improve the creation of university spinouts. Nathan co-authors the State of AI Report. Have suggestions for future podcast guests (or other feedback)? Let ...

Dec 28, 20231 hr 36 min

Kathleen Fisher: DARPA and AI for National Security

In episode 103 of The Gradient Podcast, Daniel Bashir speaks to Dr. Kathleen Fisher. As the director of DARPA’s Information Innovation Office (I2O), Dr. Kathleen Fisher oversees a portfolio that includes most of the agency’s AI-related research and development efforts, including the recent AI Forward initiative. AI Forward explores new directions for AI research that will result in trustworthy systems for national security missions. This summer, roughly 200 participants from the commercial secto...

Dec 21, 202346 min

Peter Tse: The Neuroscience of Consciousness and Free Will

In episode 102 of The Gradient Podcast, Daniel Bashir speaks to Peter Tse . Professor Tse is a Professor of Cognitive Neuroscience and chair of the department of Psychological and Brain Sciences at Dartmouth College. His research focuses on using brain and behavioral data to constrain models of the neural bases of attention and consciousness, unconscious processing that precedes and constructs consciousness, mental causation, and human capacities for imagination and creativity. He is especially ...

Dec 14, 20232 hr 24 min

Vera Liao: AI Explainability and Transparency

In episode 101 of The Gradient Podcast, Daniel Bashir speaks to Vera Liao . Vera is a Principal Researcher at Microsoft Research (MSR) Montréal where she is part of the FATE (Fairness, Accountability, Transparency, and Ethics) group. She is trained in human-computer interaction research and works on human-AI interaction, currently focusing on explainable AI and responsible AI. She aims to bridge emerging AI technologies and human-centered design practices, and use both qualitative and quantitati...

Dec 07, 20231 hr 37 min

Thomas Dietterich: From the Foundations

In episode 100 of The Gradient Podcast, Daniel Bashir speaks to Professor Thomas Dietterich . Professor Dietterich is Distinguished Professor Emeritus in the School of Electrical Engineering and Computer Science at Oregon State University. He is a pioneer in the field of machine learning, and has authored more than 225 refereed publications and two books. His current research topics include robust artificial intelligence, robust human-AI systems, and applications in sustainability. He is a forme...

Nov 30, 20232 hr 2 min

Martin Wattenberg: ML Visualization and Interpretability

In episode 99 of The Gradient Podcast, Daniel Bashir speaks to Professor Martin Wattenberg . Professor Wattenberg is a professor at Harvard and part-time member of Google Research’s People + AI Research (PAIR) initiative, which he co-founded. His work, with long-time collaborator Fernanda Viégas, focuses on making AI technology broadly accessible and reflective of human values. At Google, Professor Wattenberg, his team, and Professor Viégas have created end-user visualizations for products such ...

Nov 16, 20231 hr 42 min

Laurence Liew: AI Singapore

In episode 98 of The Gradient Podcast, Daniel Bashir speaks to Laurence Liew. Laurence is the Director for AI Innovation at AI Singapore. He is driving the adoption of AI by the Singapore ecosystem through the 100 Experiments, AI Apprenticeship Programmes and the Generational AI Talent Development initiative. He is the current Co-Chair of the Innovations and Commercialisation working group and Co-Chair of the "Broad Adoption of AI by SME" committee. Have suggestions for future podcast guests (or...

Nov 09, 202350 min

Michael Levin & Adam Goldstein: Intelligence and its Many Scales

In episode 97 of The Gradient Podcast, Daniel Bashir speaks to Professor Michael Levin and Adam Goldstein . Professor Levin is a Distinguished Professor and Vannevar Bush Chair in the Biology Department at Tufts University. He also directs the Allen Discovery Center at Tufts. His group, the Levin Lab, focuses on understanding the biophysical mechanisms that implement decision-making during complex pattern regulation, and harnessing endogenous bioelectric dynamics toward rational control of growt...

Nov 02, 202357 min

Jonathan Frankle: From Lottery Tickets to LLMs

In episode 96 of The Gradient Podcast, Daniel Bashir speaks to Jonathan Frankle . Jonathan is the Chief Scientist at MosaicML and (as of release). Jonathan completed his PhD at MIT, where he investigated the properties of sparse neural networks that allow them to train effectively through his lottery ticket hypothesis. He also spends a portion of his time working on technology policy, and currently works with the OECD to implement the AI principles he helped develop in 2019. Have suggestions for...

Oct 26, 20231 hr 8 min

Nao Tokui: "Surfing" Musical Creativity with AI

In episode 95 of The Gradient Podcast, Daniel Bashir speaks to Nao Tokui . Nao Tokui is an artist/DJ and researcher based in Tokyo. While pursuing his Ph.D. at The University of Tokyo, he produced his first music album and singles using AI, including a 12-inch record with Nujabes, a legendary Japanese hip-hop producer. After completing his Ph.D. research, he founded Qosmo, AI Creativity and Music Lab, in 2009. Since then, he has been actively working at the intersection of AI technology and art....

Oct 19, 20231 hr 2 min

Divyansh Kaushik: The Realities of AI Policy

In episode 94 of The Gradient Podcast, Daniel Bashir speaks to Divyansh Kaushik . Divyansh is the Associate Director for Emerging Technologies and National Security at the Federation of American Scientists where his focus areas include, amongst other things, AI policy, STEM immigration, and US-China strategic competition. He holds a PhD from Carnegie Mellon University, where he focused on designing reliable AI systems that align with human values. In addition to his advocacy work on Capitol Hill...

Oct 12, 20231 hr 18 min

Tal Linzen: Psycholinguistics and Language Modeling

In episode 93 of The Gradient Podcast, Daniel Bashir speaks to Professor Tal Linzen . Professor Linzen is an Associate Professor of Linguistics and Data Science at New York University and a Research Scientist at Google. He directs the Computation and Psycholinguistics Lab, where he and his collaborators use behavioral experiments and computational methods to study how people learn and understand language. They also develop methods for evaluating, understanding, and improving computational system...

Oct 05, 20231 hr 15 min

Kevin K. Yang: Engineering Proteins with ML

In episode 92 of The Gradient Podcast, Daniel Bashir speaks to Kevin K. Yang . Kevin is a senior researcher at Microsoft Research (MSR) who works on problems at the intersection of machine learning and biology, with an emphasis on protein engineering. He completed his PhD at Caltech with Frances Arnold on applying machine learning to protein engineering. Before joining MSR, he was a machine learning scientist at Generate Biomedicines, where he used machine learning to optimize proteins. Have sug...

Sep 28, 20231 hr

Arjun Ramani & Zhengdong Wang: Why Transformative AI is Really, Really Hard to Achieve

In episode 91 of The Gradient Podcast, Daniel Bashir speaks to Arjun Ramani and Zhengdong Wang . Arjun is the global business and economics correspondent at The Economist. Zhengdong is a research engineer at Google DeepMind. Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pub Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Follow The Gradient on Twitter Outline : * (00:00) Intro * (03:53) Arjun in...

Sep 21, 20231 hr 50 min

Miles Grimshaw: Benchmark, LangChain, and Investing in AI

In episode 90 of The Gradient Podcast, Daniel Bashir speaks to Miles Grimshaw . Miles is General Partner at Benchmark. He was previously a General Partner at Thrive Capital, where he helped the firm raise its fourth and fifth funds, and sourced deals in Lattice, Mapbox, Benchling, and Airtable, among others. Have suggestions for future podcast guests (or other feedback)? Let us know here or reach us at editor@thegradient.pub Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Ca...

Sep 14, 20231 hr 1 min

Shreya Shankar: Machine Learning in the Real World

In episode 89 of The Gradient Podcast, Daniel Bashir speaks to Shreya Shankar . Shreya is a computer scientist pursuing her PhD in databases at UC Berkeley. Her research interest is in building end-to-end systems for people to develop production-grade machine learning applications. She was previously the first ML engineer at Viaduct, did research at Google Brain, and software engineering at Facebook. She graduated from Stanford with a B.S. and M.S. in computer science with concentrations in syst...

Sep 07, 20231 hr 17 min

Stevan Harnad: AI's Symbol Grounding Problem

In episode 88 of The Gradient Podcast, Daniel Bashir speaks to Professor Stevan Harnad. Stevan Harnad is professor of psychology and cognitive science at Université du Québec à Montréal, adjunct professor of cognitive science at McGill University, and professor emeritus of cognitive science at the University of Southampton. His research is on category learning, categorical perception, symbol grounding, the evolution of language, and animal and human sentience (otherwise known as “consciousness”)...

Aug 31, 20231 hr 58 min

Terry Winograd: AI, HCI, Language, and Cognition

In episode 87 of The Gradient Podcast, Daniel Bashir speaks to Professor Terry Winograd. Professor Winograd is Professor Emeritus of Computer Science at Stanford University. His research focuses on human-computer interaction design and the design of technologies for development. He founded the Stanford Human-Computer Interaction Group, where he directed the teaching programs and HCI research. He is also a founding faculty member of the Stanford d.school and a founding member and past president o...

Aug 24, 20231 hr 33 min
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