All Episodes
Gradient Dissent: Conversations on AI — 140 episodes
Elon's Former Battery Chief: AI Data Centers Will Make Electricity Cheaper
40 Trillion Tokens a Day (Yes, More Than OpenAI) | Lin Qiao, CEO of Fireworks
He's Building an AI That Can't Lie | Dan Klein
He Raised $70M to Cure Every Disease With AI | Samuel G. Rodriques, Edison Scientific
Uber, Nissan, and Mercedes Chose This Self-Driving Startup | Alex Kendall, Wayve
Why Netflix, Uber, and Spotify Never Lag: The Database Nobody Talks About | Aaron Katz
The $64M Bet on an AI That Has to Be Right | Carina Hong, CEO of Axiom
What a $42B Software Co. Really Spends on AI Tools
Inside the $41B AI Cloud Challenging Big Tech | CoreWeave SVP
Why Physical AI Needed a Completely New Data Stack
The Engineering Behind the World’s Most Advanced Video AI
The CEO Behind the Fastest-Growing AI Inference Company | Tuhin Srivastava
The Startup Powering The Data Behind AGI
Arvind Jain on Building Glean and the Future of Enterprise AI
How DeepL Built a Translation Powerhouse with AI with CEO Jarek Kutylowski
GitHub CEO Thomas Dohmke on Copilot and the Future of Software Development
From Pharma to AGI Hype, and Developing AI in Finance: Martin Shkreli’s Journey
Inside Cursor: The future of AI coding with Co-founder Sualeh Asif
Inside the Dark Web, AI and Cybersecurity with Christopher Ahlberg CEO of Recorded Future
AI, autonomy, and the future of naval warfare with Captain Jon Haase, United States Navy
The rise of AI agents
R1, OpenAI’s o3, and the ARC-AGI Benchmark: Insights from Mike Knoop
DeepSeek, Stargate and AI's $600 Billion Question with Sequoia's David Cahn
Building the future of collaborative AI development with Akshay Agrawal
Evaluating LLMs with Chatbot Arena and Joseph E. Gonzalez
AI’s breakthrough in weather forecasting with Brightband’s Julian Green
What’s the path to AGI? A conversation with Turing Co-founder and CEO Jonathan Siddharth
Vercel’s CEO & Founder Guillermo Rauch on the impact of AI on Web Development and Front End Engineering
Snowflake’s CEO Sridhar Ramaswamy on 700+ LLM enterprise use cases
Elevating ML Infrastructure with Modal Labs CEO Erik Bernhardsson
From No-Code to AI-Powered Apps with Airtable’s Howie Liu
Launching the Fastest AI Inference Solution with Cerebras Systems CEO Andrew Feldman
Reinventing AI Agents with Imbue CEO Kanjun Qiu
From startup to $1.2B with Lambda’s Stephen Balaban
Harnessing AI for legal practice with CoCounsel’s Jake Heller
Transforming Search with Perplexity AI’s CTO Denis Yarats
AI in electronics: Quilter’s journey in PCB design
The Future of AI in Coding with Codeium CEO Varun Mohan
Shaping AI Benchmarks with Together AI Co-Founder Percy Liang
Accelerating drug discovery with AI: Insights from Isomorphic Labs
Redefining AI Hardware for Enterprise with SambaNova’s Rodrigo Liang
Navigating the Vector Database Landscape with Pinecone's Edo Liberty
Transforming Data into Business Solutions with Salesforce AI CEO, Clara Shih
Upgrading Your Health: Navigating AI's Future In Healthcare with John Halamka of Mayo Clinic Platform
Shaping the World of Robotics with Chelsea Finn
The Power of AI in Search with You.com's Richard Socher
AI’s Future: Investment & Impact with Sarah Guo and Elad Gil
Revolutionizing AI Data Management with Jerry Liu, CEO of LlamaIndex
Bridging AI and Science: The Impact of Machine Learning on Material Innovation with Joe Spisak of Meta
Unlocking the Power of Language Models in Enterprise: A Deep Dive with Chris Van Pelt
Providing Greater Access to LLMs with Brandon Duderstadt, Co-Founder and CEO of Nomic AI
Exploring PyTorch and Open-Source Communities with Soumith Chintala, VP/Fellow of Meta, Co-Creator of PyTorch
Advanced AI Accelerators and Processors with Andrew Feldman of Cerebras Systems
Enabling LLM-Powered Applications with Harrison Chase of LangChain
Deploying Autonomous Mobile Robots with Jean Marc Alkazzi at idealworks
How EleutherAI Trains and Releases LLMs: Interview with Stella Biderman
Scaling LLMs and Accelerating Adoption with Aidan Gomez at Cohere
Neural Network Pruning and Training with Jonathan Frankle at MosaicML
Jasper AI's Dave Rogenmoser & Saad Ansari on Growing & Maintaining an LLM-Based Company
Shreya Shankar — Operationalizing Machine Learning
Sarah Catanzaro — Remembering the Lessons of the Last AI Renaissance
Cristóbal Valenzuela — The Next Generation of Content Creation and AI
Jeremy Howard — The Simple but Profound Insight Behind Diffusion
Jerome Pesenti — Large Language Models, PyTorch, and Meta
D. Sculley — Technical Debt, Trade-offs, and Kaggle
Emad Mostaque — Stable Diffusion, Stability AI, and What’s Next
Jehan Wickramasuriya — AI in High-Stress Scenarios
Will Falcon — Making Lightning the Apple of ML
Aaron Colak — ML and NLP in Experience Management
Jordan Fisher — Skipping the Line with Autonomous Checkout
Drago Anguelov — Robustness, Safety, and Scalability at Waymo
James Cham — Investing in the Intersection of Business and Technology
Boris Dayma — The Story Behind DALL·E mini, the Viral Phenomenon
Tristan Handy — The Work Behind the Data Work
Johannes Otterbach — Unlocking ML for Traditional Companies
Mircea Neagovici — Robotic Process Automation (RPA) and ML
Jensen Huang — NVIDIA’s CEO on the Next Generation of AI and MLOps
Peter & Boris — Fine-tuning OpenAI's GPT-3
Ion Stoica — Spark, Ray, and Enterprise Open Source
Stephan Fabel — Efficient Supercomputing with NVIDIA's Base Command Platform
Chris Padwick — Smart Machines for More Sustainable Farming
Kathryn Hume — Financial Models, ML, and 17th-Century Philosophy
Sean & Greg — Biology and ML for Drug Discovery
Chris, Shawn, and Lukas — The Weights & Biases Journey
Pete Warden — Practical Applications of TinyML
Pieter Abbeel — Robotics, Startups, and Robotics Startups
Chris Albon — ML Models and Infrastructure at Wikimedia
Emily M. Bender — Language Models and Linguistics
Jeff Hammerbacher — From data science to biomedicine
Josh Bloom — The Link Between Astronomy and ML
Xavier Amatriain — Building AI-powered Primary Care
Spence Green — Enterprise-scale Machine Translation
Roger & DJ — The Rise of Big Data and CA's COVID-19 Response
Amelia & Filip — How Pandora Deploys ML Models into Production
Luis Ceze — Accelerating Machine Learning Systems
Matthew Davis — Bringing Genetic Insights to Everyone
Clément Delangue — The Power of the Open Source Community
Wojciech Zaremba — What Could Make AI Conscious?
Phil Brown — How IPUs are Advancing Machine Intelligence
Alyssa Simpson Rochwerger — Responsible ML in the Real World
Sean Taylor — Business Decision Problems
Polly Fordyce — Microfluidic Platforms and Machine Learning
Adrien Gaidon — Advancing ML Research in Autonomous Vehicles
Nimrod Shabtay — Deployment and Monitoring at Nanit
Chris Mattmann — ML Applications on Earth, Mars, and Beyond
Vladlen Koltun — The Power of Simulation and Abstraction
Dominik Moritz — Building Intuitive Data Visualization Tools
Cade Metz — The Stories Behind the Rise of AI
Dave Selinger — AI and the Next Generation of Security Systems
Tim & Heinrich — Democraticizing Reinforcement Learning Research
Daphne Koller — Digital Biology and the Next Epoch of Science
Piero Molino — The Secret Behind Building Successful Open Source Projects
Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit
Sean Gourley — NLP, National Defense, and Establishing Ground Truth
Peter Wang — Anaconda, Python, and Scientific Computing
Chris Anderson — Robocars, Drones, and WIRED Magazine
Adrien Treuille — Building Blazingly Fast Tools That People Love
Peter Norvig – Singularity Is in the Eye of the Beholder
Robert Nishihara — The State of Distributed Computing in ML
Ines & Sofie — Building Industrial-Strength NLP Pipelines
Daeil Kim — The Unreasonable Effectiveness of Synthetic Data
Joaquin Candela — Definitions of Fairness
Richard Socher — The Challenges of Making ML Work in the Real World
Zack Chase Lipton — The Medical Machine Learning Landscape
Anthony Goldbloom — How to Win Kaggle Competitions
Suzana Ilić — Cultivating Machine Learning Communities
Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML
Anantha Kancherla — Building Level 5 Autonomous Vehicles
Bharath Ramsundar — Deep Learning for Molecules and Medicine Discovery
Chip Huyen — ML Research and Production Pipelines
Peter Skomoroch — Product Management for AI
Josh Tobin — Productionizing ML Models
Hamel Husain — Building Machine Learning Tools
Peter Welinder — Deep Reinforcement Learning and Robotics
Vicki Boykis — Machine Learning Across Industries
Angela & Danielle — Designing ML Models for Millions of Consumer Robots
Jack Clark — Building Trustworthy AI Systems
Rachael Tatman — Conversational AI and Linguistics
Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars
Brandon Rohrer — Machine Learning in Production for Robots