In episode 27 of The Gradient Podcast, Andrey Kurenkov speaks to Max Braun, who leads the AI and robotics software engineering team at Everyday Robots, a moonshot to create robots that can learn to help people in their everyday lives. Previously, he worked on building frontier technology products as an entrepreneur and later at Google and X. Max enjoys exploring the intersection of art, technology, and philosophy as a writer and designer. Subscribe to The Gradient Podcast: Apple Podcasts | Spoti...
May 26, 2022•1 hr 23 min
In episode 26 of The Gradient Podcast, Daniel Bashir speaks to Yejin Choi, professor of Computer Science at the University of Washington, and senior research manager at the Allen Institute for Artificial Intelligence. Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Follow The Gradient on Twitter Sections : (00:00) Intro (01:42) Getting Started in the Winter (09:17) Has NLP lost its way? (12:57) The Mosaic Project, Commonsense Intelligence (18:20) A Priori Intuiti...
May 19, 2022•1 hr 16 min
In episode 25 of The Gradient Podcast, Daniel Bashir speaks to David Chalmers, professor of philosophy and Philosophy and Neural Science at New York University, and co-director of NYU’s center for Mind, Brain, and Consciousness. Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Follow The Gradient on Twitter Sections : (00:00) Intro(00:42) “Today’s neural networks may be slightly conscious”(03:55) Openness to Machine Consciousness(09:37) Integrated Information Theo...
May 12, 2022•52 min
In episode 24 of The Gradient Podcast, Daniel Bashir talks to Greg Yang, senior researcher at Microsoft Research. Greg Yang’s Tensor Programs framework recently received attention for its role in the µTransfer paradigm for tuning the hyperparameters of large neural networks. Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Follow The Gradient on Twitter Sections : (00:00) Intro(01:50) Start in AI / Research(05:55) Fear of Math in ML(08:00) Presentation of Research...
Apr 28, 2022•1 hr 6 min
In the 23rd interview of The Gradient Podcast, we talk to Nick Walton, the CEO and Co-Founder of Latitude, the goal of which is to make AI a tool of freedom and creativity for everyone, and which is currently developing AI Dungeon and Voyage. Subscribe to The Gradient Podcast: * Apple Podcasts * Spotify * Pocket Casts * RSS Outline :(00:00) Intro(01:38) How did you go into AI / research(3:50) Origin of AI Dungeon(8:15) What is a Dungeon Master(12:!5) Brief history of AI Dungeon(17:30) AI in vide...
Mar 24, 2022•1 hr 3 min
In episode 22 of The Gradient Podcast, we talk to Connor Leahy, an AI researcher focused on AI alignment and a co-founder of EleutherAI . Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Follow The Gradient on Twitter Connor is an AI researcher working on understanding large ML models and aligning them to human values, and a cofounder of EleutherAI , a decentralized grassroots collective of volunteer researchers, engineers, and developers focused on AI alignment, ...
Feb 03, 2022
In interview 21 of The Gradient Podcast, we talk to Percy Liang, an Associate Professor of Computer Science at Stanford University and the director of the Center for Research on Foundation Models. Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Follow The Gradient on Twitter Percy Liang’s research spans many topics in machine learning and natural language processing, including robustness, interpretability, semantics, and reasoning. He is also a strong proponent o...
Jan 27, 2022•51 min
In episode 20 of The Gradient Podcast, we talk to Eric Jang, a research scientist on the Robotics team at Google. Eric is a research scientist on the Robotics team at Google. His research focuses on answering whether big data and small algorithms can yield unprecedented capabilities in the domain of robotics, just like the computer vision, translation, and speech revolutions before it. Specifically, he focuses on robotic manipulation and self-supervised robotic learning. Sections : (00:00) Intro...
Jan 08, 2022•1 hr 33 min
In episode 19 of The Gradient Podcast, we talk to Rishi Bommasani, a Ph.D student at Stanford focused on Foundation Models. Rish is a second-year Ph.D. student in the CS Department at Stanford, where he is advised by Percy Liang and Dan Jurafsky. His research focuses on understanding AI systems and their social impact, as well as using NLP to further scientific inquiry. Over the past year, he helped build and organize the Stanford Center for Research on Foundation Models ( CRFM ). Sections : (00...
Dec 09, 2021•1 hr 34 min
In episode 18 of The Gradient Podcast, we talked to Upol Ehsan, an Explainable AI (XAI) researcher who combines his background in Philosophy and Human-Computer Interaction to address problems in XAI beyond just opening the "black-box" of AI. You can find his Gradient article charting this vision here . Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Follow The Gradient on Twitter Papers Discussed: * Rationalization: A Neural Machine Translation Approach to Genera...
Dec 03, 2021•1 hr 35 min
In episode 17 of The Gradient Podcast, we talk to Miles Brundage , Head of Policy Research at OpenAI and a researcher passionate about the responsible governance of artificial intelligence. Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Links: * Will Technology Make Work Better for Everyone? * Economic Possibilities for Our Children: Artificial Intelligence and the Future of Work, Education, and Leisure * Taking Superintelligence Seriously * The Malicious Use of...
Nov 23, 2021•54 min
In episode 16 of The Gradient Podcast, we talk to Jeffrey Ding , a postdoctoral fellow at Stanford's Center for International Security and Cooperation (01:35) Getting into AI research(04:20) Interest in studying China(06:50) Deciphering China’s AI Dream(23:25) Beyond the AI Arms Race(36:45) China's Current Capabilities in AI(46:45) AI as a General Purpose and Strategic Technology(57:38) ChinaAI Newsletter(01:04:20) Teaching AI to Policy People(01:06:30) Current Focus(01:09:10) Interests Outside ...
Nov 18, 2021•1 hr 11 min
In episode 15 of The Gradient Podcast, we talk to Stanford PhD Candidate Alex Tamkin Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Alex Tamkin is a fourth-year PhD student in Computer Science at Stanford, advised by Noah Goodman and part of the Stanford NLP Group . His research focuses on understanding, building, and controlling pretrained models, especially in domain-general or multimodal settings. We discuss: * Viewmaker Networks: Learning Views for Unsupervi...
Nov 11, 2021•1 hr 11 min
In episode 14 of The Gradient Podcast, we interview Stanford PhD Candidate Peter Henderson Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Peter is a joint JD-PhD student at Stanford University advised by Dan Jurafsky . He is also an OpenPhilanthropy AI Fellow and a Graduate Student Fellow at the Regulation, Evaluation, and Governance Lab . His research focuses on creating robust decision-making systems, with three main goals: (1) use AI to make governments more ...
Oct 28, 2021•1 hr 29 min
In episode 13 of The Gradient Podcast, we interview Stanford Professor Chelsea Finn Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Chelsea is an Assistant Professor at Stanford University . Her lab, IRIS , studies intelligence through robotic interaction at scale, and is affiliated with SAIL and the Statistical ML Group . I also spend time at Google as a part of the Google Brain team. Her research deals with the capability of robots and other agents to develop b...
Oct 14, 2021•50 min
In episode 12 of The Gradient Podcast, we interview Devi Parikh, a professor at Georgia Tech whose research focuses on computer vision, natural language processing, embodied AI, human-AI collaboration, and AI for creativity. Devi Parikh is an Associate Professor in the School of Interactive Computing at Georgia Tech, and a Research Scientist at Facebook AI Research (FAIR). Her research interests are in computer vision, natural language processing, embodied AI, human-AI collaboration, and AI for ...
Oct 01, 2021•55 min
In episode 11 of The Gradient Podcast, we interview Sergey Levine, a professor at Berkeley whose research focuses on machine learning for decision making and control, with an emphasis on deep learning and reinforcement learning algorithms for robotics. Sergey Levine received a BS and MS in Computer Science from Stanford University in 2009, and a Ph.D. in Computer Science from Stanford University in 2014. He joined the faculty of the Department of Electrical Engineering and Computer Sciences at U...
Sep 16, 2021•54 min
In episode 10 of The Gradient Podcast, we interview data scientist, researcher, developer, educator, and entrepreneur Jeremy Howard. Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Jeremy Howard is a data scientist, researcher, developer, educator, and entrepreneur. Jeremy is a founding researcher at fast.ai, a research institute dedicated to making deep learning more accessible. He is also a Distinguished Research Scientist at the University of San Francisco, th...
Sep 09, 2021•58 min
In episode 9 of The Gradient Podcast, we interview Yannic Kilcher, an AI researcher and educator. Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Evan is an AI safety veteran who’s done research at leading AI labs like OpenAI, and whose experience also includes stints at Google, Ripple andYelp. He currently works at the Machine Intelligence Research Institute (MIRI) as a Research Fellow, and joined me to talk about his views on AI safety, the alignment problem, a...
Sep 03, 2021•1 hr 15 min
In episode 8 of The Gradient Podcast, we interview Yannic Kilcher, an AI researcher and educator. Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Yannic graduated with his PhD from ETH Zurich’s data analytics lab and is now the Chief Technology Officer of DeepJudge, a company building the next-generation AI-powered context-sensitive legal document processing platform. He famously produces videos on his very popular Youtube channel, which cover machine learning re...
Aug 27, 2021•41 min
In episode 7 of The Gradient Podcast, we interview founder and owner of Silero Alexander Veysov. You can find a transcript of our conversation here , and the repositories for Open Speech To Text and Silero Models here . Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Alexander Veysov is the founder / owner of Silero, a small company building Speech / NLP enabled products, and author of Open STT. Silero has recently shipped its own Russian STT engine. Previously h...
Aug 19, 2021•47 min
In episode 6 of The Gradient Podcast, we interview Deep Learning pioneer Yann LeCun.Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Follow The Gradient on Twitter Yann LeCun is the VP & Chief AI Scientist at Facebook and Silver Professor at NYU and he was also the founding Director of Facebook AI Research and of the NYU Center for Data Science. He famously pioneered the use of Convolutional Neural Nets for image processing in the 80s and 90s, and is generally...
Aug 05, 2021•56 min
In episode 5 of The Gradient Podcast, we interview NLP researcher Anna Rogers. Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Anna Rogers is a post-doctoral associate at the University of Copenhagen, working with the research groups in the Center for Social Data Science and Machine Learning section. Her main research area is Natural Language Processing, with focus on interpretability and evaluation of deep learning models. She is also known for her work on impro...
Jul 30, 2021•1 hr 3 min
In episode 4 of The Gradient Podcast, we interview artist, engineer, and entrepreneur Joel Simon. Subscribe to The Gradient Podcast: Apple Podcasts | Spotify | Pocket Casts | RSS Joel Simon is a multidisciplinary artist, toolmaker, and researcher. He studied computer science and art at Carnegie Mellon University, worked on bioinformatics at Rockefeller University, and most recently is the founder and director of Morphogen , a generative design company developing Artbreeder , a massively collabor...
Jul 20, 2021•58 min
Subscribe to The Gradient Podcast: iTunes | RSS | Spotify In episode 3 of The Gradient Podcast, we interview researcher and entrepreneur Abubakar Abid. Follow him on Twitter and check out the websites of his company Gradio and his side project the Fatima Fellowship . Abubakar is an entrepreneur and researcher focused on AI and its applications to medicine. He is currently running the company Gradio, which is developing a product to generate an easy-to-use UI for any ML model, function, or API. H...
Jul 06, 2021•45 min
In episode 2 of The Gradient Podcast, we interview AI artist Helana Sarin. Check out her work and follow her over at her Twitter @NeuralBricolage . Helena Sarin is a visual artist and software engineer and is among the most prominent artists utilizing AI for their work. After she discovered GANs (Generative Adversarial Networks) several years ago and then made generative models her primary medium. She is a frequent speaker at ML/AI conferences, for the past year delivering invited talks at MIT, ...
Jun 19, 2021•41 min
Hello world! After more than 3 years of publishing overviews and perspectives from the AI community on thegradient.pub, The Gradient now has a podcast. In this first episode our lead editors take a look back on how it all started, as well as a look ahead at where things are heading. Keep an eye out for our next episode, coming soon! Theme: “ MusicVAE: Trio 16-bar Sample #2 ” from "MusicVAE: A Hierarchical Latent Vector Model for Learning Long-Term Structure in Music". Get full access to The Grad...
Jun 01, 2021•22 min
