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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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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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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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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C. Thi Nguyen: Values, Legibility, and Gamification
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Episode 127 I spoke with Christopher Thi Nguyen about: * How we lose control of our values * The tradeoffs of legibility, aggregation, and simplification * Gamification and its risks Enjoy—and let me know what you think! C. Thi Nguyen as of July 2020 is Associate Professor of Philosophy at the University of Utah. His research focuses on how social …
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AI in electronics: Quilter’s journey in PCB design
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In this episode of Gradient Dissent, Sergiy Nesterenko, CEO of Quilter, joins host Lukas Biewald to discuss the groundbreaking use of reinforcement learning in PCB design. Learn how Quilter automates the complex, manual process of creating PCBs, making it faster and more efficient. Nesterenko shares insights on the challenges and successes of integ…
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Episode 28: Beyond Supervised Learning: The Rise of In-Context Learning with LLMs
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Hugo speaks with Alan Nichol, co-founder and CTO of Rasa, where they build software to enable developers to create enterprise-grade conversational AI and chatbot systems across industries like telcos, healthcare, fintech, and government. What's super cool is that Alan and the Rasa team have been doing this type of thing for over a decade, giving th…
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Vivek Natarajan: Towards Biomedical AI
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Episode 126 I spoke with Vivek Natarajan about: * Improving access to medical knowledge with AI * How an LLM for medicine should behave * Aspects of training Med-PaLM and AMIE * How to facilitate appropriate amounts of trust in users of medical AI systems Vivek Natarajan is a Research Scientist at Google Health AI advancing biomedical AI to help sc…
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Episode 27: How to Build Terrible AI Systems
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Hugo speaks with Jason Liu, an independent consultant who uses his expertise in recommendation systems to help fast-growing startups build out their RAG applications. He was previously at Meta and Stitch Fix is also the creator of Instructor, Flight, and an ML and data science educator. They talk about how Jason approaches consulting companies acro…
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Thomas Mullaney: A Global History of the Information Age
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Episode 125 False universalism freaks me out. It doesn’t freak me out as a first principle because of epistemic violence; it freaks me out because it works. I spoke with Professor Thomas Mullaney about: * Telling stories about your work and balancing what feels meaningful with practical realities * Destabilizing our understandings of the technologi…
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The Future of AI in Coding with Codeium CEO Varun Mohan
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In this episode of Gradient Dissent, Varun Mohan, Co-Founder & CEO of Codeium, joins host Lukas Biewald to discuss the transformative power of AI in coding. They explore how Codeium evolved from GPU virtualization to a widely used AI coding tool and tackled the technical challenges and future prospects of AI-assisted software development. Varun sha…
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Seth Lazar: Normative Philosophy of Computing
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Episode 124 You may think you’re doing a priori reasoning, but actually you’re just over-generalizing from your current experience of technology. I spoke with Professor Seth Lazar about: * Why managing near-term and long-term risks isn’t always zero-sum * How to think through axioms and systems in political philosphy * Coordination problems, econom…
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Suhail Doshi: The Future of Computer Vision
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Episode 123 I spoke with Suhail Doshi about: * Why benchmarks aren’t prepared for tomorrow’s AI models * How he thinks about artists in a world with advanced AI tools * Building a unified computer vision model that can generate, edit, and understand pixels. Suhail is a software engineer and entrepreneur known for founding Mixpanel, Mighty Computing…
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Episode 26: Developing and Training LLMs From Scratch
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Hugo speaks with Sebastian Raschka, a machine learning & AI researcher, programmer, and author. As Staff Research Engineer at Lightning AI, he focuses on the intersection of AI research, software development, and large language models (LLMs). How do you build LLMs? How can you use them, both in prototype and production settings? What are the buildi…
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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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