Deeply researched, technical interviews with experts thinking about AI and technology. Hosted, recorded, researched, and produced by Daniel Bashir. thegradientpub.substack.com
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Join Lukas Biewald on Gradient Dissent, an AI-focused podcast brought to you by Weights & Biases. Dive into fascinating conversations with industry giants from NVIDIA, Meta, Google, Lyft, OpenAI, and more. Explore the cutting-edge of AI and learn the intricacies of bringing models into production.
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Riffing on things that matter.
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Three teens talking about politics, current events, and some hip stuff for the kids. New episodes coming soon!
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In progress
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A podcast about all things data, brought to you by data scientist Hugo Bowne-Anderson. It's time for more critical conversations about the challenges in our industry in order to build better compasses for the solution space! To this end, this podcast will consist of long-format conversations between Hugo and other people who work broadly in the data science, machine learning, and AI spaces. We'll dive deep into all the moving parts of the data world, so if you're new to the space, you'll hav ...
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Gradient is a visual magazine produced every other year by journalism majors at Biola University. This podcast explains the different stories found in the magazine.
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A glorified audio diary where two MSBA students, Sagar and Cory, learn about what other graduates are up to. Want to be on the show? Have any questions for us or our guests? Contact us at stochasticgradientdissent@gmail.com.
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Anish Singhani and Brendon Matusch discuss and offer new perspectives on the world of deep learning, including current projects in industry and academia.
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A longform discussion between co-hosts Roy Peer, an architect turned entrepreneur and sci-fi author, & Steven W Sorensen, a global soul turned tech finance and corporate board enthusiast, on a wide range of topics ranging from AI to philosophy to entrepreneurship. We aim to bring on great minds, from the renown to the unknown, to discuss things we find interesting. We start each podcast sober and let the proof gradient the course of discussion. Just like Hitchcock built suspense by placing a ...
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Shaping AI Benchmarks with Together AI Co-Founder Percy Liang
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In this episode of Gradient Dissent, Together AI co-founder and Stanford Associate Professor Percy Liang joins host, Lukas Biewald, to discuss advancements in AI benchmarking and the pivotal role that open-source plays in AI development. He shares his development of HELM—a robust framework for evaluating language models. The discussion highlights h…
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Azeem Azhar: The Exponential View
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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 in-depth technology analysis, a…
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David Thorstad: Bounded Rationality and the Case Against Longtermism
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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 an Assistant Professor of Phil…
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Accelerating drug discovery with AI: Insights from Isomorphic Labs
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In this episode of Gradient Dissent, Isomorphic Labs Chief AI Officer Max Jaderberg, and Chief Technology Officer Sergei Yakneen join our host Lukas Biewald to discuss the advancements in biotech and drug discovery being unlocked with machine learning. With backgrounds in advanced AI research at DeepMind, Max and Sergei offer their unique insights …
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Ryan Tibshirani: Statistics, Nonparametric Regression, Conformal Prediction
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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 UC Berkeley. He is also a Princ…
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Sasha Luccioni: Connecting the Dots Between AI's Environmental and Social Impacts
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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 Machine Learning (WiML), Sasha is …
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Redefining AI Hardware for Enterprise with SambaNova’s Rodrigo Liang
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🚀 Discover the cutting-edge AI hardware development for enterprises in this episode of Gradient Dissent, featuring Rodrigo Liang, CEO of SambaNova Systems. Rodrigo Liang’s journey from Oracle to founding SambaNova is a tale of innovation and determination. In this episode, Rodrigo discusses the importance of specialized hardware in unlocking AI's p…
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Michael Sipser: Problems in the Theory of Computation
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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 was Chairman of Applied Mathema…
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Andrew Lee: How AI will Shape the Future of Email
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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 other feedback)? Let us know her…
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Navigating the Vector Database Landscape with Pinecone's Edo Liberty
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🚀 This episode of Gradient Dissent welcomes Edo Liberty, the mind behind Pinecone's revolutionary vector database technology. As a former leader at Amazon AI Labs and Yahoo's New York lab, Edo Liberty's extensive background in AI research and development showcases the complexities behind vector databases and their essential role in enhancing AI's c…
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Joss Fong: Videomaking, AI, and Science Communication
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“You get more of what you engage with. Everyone who complains about coverage should understand that every click, every quote tweet, every argument is registered by these publications as engagement. If what you want is really meaty, dispassionate, balanced, and fair explainers, you need to click on that, you need to read the whole thing, you need to…
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Kate Park: Data Engines for Vision and Language
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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 m…
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Episode 25: Fully Reproducible ML & AI Workflows
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Hugo speaks with Omoju Miller, a machine learning guru and founder and CEO of Fimio, where she is building 21st century dev tooling. In the past, she was Technical Advisor to the CEO at GitHub, spent time co-leading non-profit investment in Computer Science Education for Google, and served as a volunteer advisor to the Obama administration’s White …
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Transforming Data into Business Solutions with Salesforce AI CEO, Clara Shih
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🚀 In this episode of Gradient Dissent, we explore the revolutionary impact of AI across industries with Clara Shih, CEO of Salesforce AI and Founder of Hearsay Systems. Dive into Salesforce AI's cutting-edge approach to customer service through AI, the importance of a trust-first strategy, and the future of AI policies and education. Learn how Sale…
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Ben Wellington: ML for Finance and Storytelling through Data
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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 …
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Venkatesh Rao: Protocols, Intelligence, and Scaling
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“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 …
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Sasha Rush: Building Better NLP Systems
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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 gen…
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Upgrading Your Health: Navigating AI's Future In Healthcare with John Halamka of Mayo Clinic Platform
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In the newest episode of Gradient Dissent, we explore the intersecting worlds of AI and Healthcare with John Halamka, President of the Mayo Clinic Platform. Journey with us down John Halamka's remarkable path from his early tech startup days to leading innovations as the President of the Mayo Clinic Platform, one of the world's most esteemed health…
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Episode 24: LLM and GenAI Accessibility
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Hugo speaks with Johno Whitaker, a Data Scientist/AI Researcher doing R&D with answer.ai. His current focus is on generative AI, flitting between different modalities. He also likes teaching and making courses, having worked with both Hugging Face and fast.ai in these capacities. Johno recently reminded Hugo how hard everything was 10 years ago: “W…
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Cameron Jones & Sean Trott: Understanding, Grounding, and Reference in LLMs
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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 A…
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Nicholas Thompson: AI and Journalism
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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 Puli…
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Shaping the World of Robotics with Chelsea Finn
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In the newest episode of Gradient Dissent, Chelsea Finn, Assistant Professor at Stanford's Computer Science Department, discusses the forefront of robotics and machine learning. Discover her groundbreaking work, where two-armed robots learn to cook shrimp (messes included!), and discuss how robotic learning could transform student feedback in educa…
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Subbarao Kambhampati: Planning, Reasoning, and Interpretability in the Age of LLMs
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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 Advanc…
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Russ Maschmeyer: Spatial Commerce and AI in Retail
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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 producti…
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The Power of AI in Search with You.com's Richard Socher
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In the latest episode of Gradient Dissent, Richard Socher, CEO of You.com, shares his insights on the power of AI in search. The episode focuses on how advanced language models like GPT-4 are transforming search engines and changing the way we interact with digital platforms. The discussion covers the practical applications and challenges of integr…
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Benjamin Breen: The Intersecting Histories of Psychedelics and AI Research
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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…
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Ted Gibson: The Structure and Purpose of Language
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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 …
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AI’s Future: Investment & Impact with Sarah Guo and Elad Gil
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Explore the Future of Investment & Impact in AI with Host Lukas Biewald and Guests Elad Gill and Sarah Guo of the No Priors podcast. Sarah is the founder of Conviction VC, an AI-centric $100 million venture fund. Elad, a seasoned entrepreneur and startup investor, boasts an impressive portfolio in over 40 companies, each valued at $1 billion or mor…
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Harvey Lederman: Propositional Attitudes and Reference in Language Models
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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…
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Eric Jang: AI is Good For You
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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 | RSSFollow The Gradient on Twitter Outline: * (00:00) Intro * (01:25) Updates si…
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Revolutionizing AI Data Management with Jerry Liu, CEO of LlamaIndex
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In the latest episode of Gradient Dissent, we explore the innovative features and impact of LlamaIndex in AI data management with Jerry Liu, CEO of LlamaIndex. Jerry shares insights on how LlamaIndex integrates diverse data formats with advanced AI technologies, addressing challenges in data retrieval, analysis, and conversational memory. We also d…
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