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PODCAST

The Gradient: Perspectives on AI

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

technology

All Episodes

130:34

Harvey Lederman: Propositional Attitudes and...

The Gradient: Perspectives on AI ·

2024/01/11

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 moral

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89:57

Eric Jang: AI is Good For You

The Gradient: Perspectives on AI ·

2024/01/04

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.pubSubscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterOutline:* (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) Definitions of AGI*

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95:37

2023 in AI, with Nathan Benaich

The Gradient: Perspectives on AI ·

2023/12/28

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 us know

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46:16

Kathleen Fisher: DARPA and AI for National Security

The Gradient: Perspectives on AI ·

2023/12/21

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 sector,

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144:04

Peter Tse: The Neuroscience of Consciousness and Free...

The Gradient: Perspectives on AI ·

2023/12/14

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

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97:03

Vera Liao: AI Explainability and Transparency

The Gradient: Perspectives on AI ·

2023/12/07

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 quantitative

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121:57

Thomas Dietterich: From the Foundations

The Gradient: Perspectives on AI ·

2023/11/30

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 former

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102:05

Martin Wattenberg: ML Visualization and Interpretability

The Gradient: Perspectives on AI ·

2023/11/16

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 as

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50:28

Laurence Liew: AI Singapore

The Gradient: Perspectives on AI ·

2023/11/09

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 other

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57:21

Michael Levin & Adam Goldstein: Intelligence and its...

The Gradient: Perspectives on AI ·

2023/11/02

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 growth and

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68:22

Jonathan Frankle: From Lottery Tickets to LLMs

The Gradient: Perspectives on AI ·

2023/10/26

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 future

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62:19

Nao Tokui: "Surfing" Musical Creativity with AI

The Gradient: Perspectives on AI ·

2023/10/19

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. Nao

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77:44

Divyansh Kaushik: The Realities of AI Policy

The Gradient: Perspectives on AI ·

2023/10/12

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, he

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74:50

Tal Linzen: Psycholinguistics and Language Modeling

The Gradient: Perspectives on AI ·

2023/10/05

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 systems for

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60:00

Kevin K. Yang: Engineering Proteins with ML

The Gradient: Perspectives on AI ·

2023/09/28

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

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109:33

Arjun Ramani & Zhengdong Wang: Why Transformative AI...

The Gradient: Perspectives on AI ·

2023/09/21

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.pubSubscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSSFollow The Gradient on TwitterOutline:* (00:00) Intro* (03:53) Arjun intro*

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60:47

Miles Grimshaw: Benchmark, LangChain, and Investing...

The Gradient: Perspectives on AI ·

2023/09/14

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.pubSubscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts |

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76:36

Shreya Shankar: Machine Learning in the Real World

The Gradient: Perspectives on AI ·

2023/09/07

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 systems

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118:21

Stevan Harnad: AI's Symbol Grounding Problem

The Gradient: Perspectives on AI ·

2023/08/31

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”). He

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93:21

Terry Winograd: AI, HCI, Language, and Cognition

The Gradient: Perspectives on AI ·

2023/08/24

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 of

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147 results

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