LIVE
[Private video]
45:49
The $8.6B Self-Driving AI Backed by Nvidia and Uber | Alex Kendall, Wayve
Weights & Biases
43:31
Why Anthropic, Meta, and Tesla All Chose the Same Database | Aaron Katz, ClickHouse
37:36
The Brutal Truth About AI From the People Actually Building It | Best of Gradient Dissent
50:40
She Raised $64M to Build an AI Math Prodigy | Carina Hong, CEO of Axiom
1:07:46
Atlassian’s Most Controversial Growth Decision | Mike Cannon-Brookes
53:19
Why Big Tech Buys GPUs From CoreWeave | Corey Sanders
1:00:53
Are Humanoid Robots Actually Coming to Your Home? | Nikolaus, Rerun
14:45
Runway’s Gen 4.5 and the Future of AI Video
59:14
The $2B Company Cutting AI Costs By 60% | Tuhin Srivastava
0:33
Why synthetic data isn’t enough
56:12
The Startup Powering The Data Behind AGI
43:51
Arvind Jain on building Glean and the future of enterprise AI
42:42
How DeepL Built a Translation Powerhouse with AI with CEO Jarek Kutylowski
1:09:45
GitHub CEO Thomas Dohmke on Copilot and the Future of Software Development
1:30:28
From pharma to AGI hype, and developing AI in finance: Martin Shkreli’s journey
49:37
Inside Cursor: The future of AI coding with Co-founder Sualeh Asif
50:15
Inside the Dark Web, AI and Cybersecurity with Christopher Ahlberg CEO of Recorded Future
1:01:38
AI, autonomy, and the future of naval warfare with Captain Jon Haase, United States Navy
49:10
The rise of AI agents with João Moura of CrewAI
1:12:01
R1, OpenAI’s o3, and the ARC-AGI Benchmark: Insights from Mike Knoop on the Gradient Dissent Podcast
58:15
Deepseek, Stargate and AI’s $600 billion question with Sequoia Capital’s David Cahn
41:04
Building the future of collaborative AI development with Akshay Agrawal of Marimo
55:32
Evaluating LLMs with Chatbot Arena and Joseph E. Gonzalez of RunLLM
49:58
AI’s breakthrough in weather forecasting with Brightband’s Julian Green
54:49
What’s the path to AGI? A conversation with Turing Co-founder and CEO Jonathan Siddharth
56:57
Vercel’s CEO & founder Guillermo Rauch on AI’s impact on web development and front end engineering
55:42
Snowflake’s CEO Sridhar Ramaswamy on 700+ LLM enterprise use cases
49:39
Elevating ML infrastructure with Modal Labs CEO Erik Bernhardsson
1:12:57
From no-code to AI-powered apps with Airtable’s Howie Liu
53:14
Launching the fastest AI inference solution with Cerebras Systems CEO Andrew Feldman
48:34
Reinventing AI Agents with Imbue CEO Kanjun Qiu
49:56
From startup to $1.2B with Lambda's Stephen Balaban
1:04:17
Harnessing AI for legal practice with CoCounsel’s Jake Heller
43:54
Transforming Search with Perplexity AI’s CTO Denis Yarats
43:50
AI in electronics: Quilter’s journey in PCB design
54:53
The Future of AI in Coding with Codeium CEO Varun Mohan
53:21
Shaping AI Benchmarks with Together AI Co-Founder Percy Liang
1:10:23
Accelerating drug discovery with AI: Insights from Isomorphic Labs
53:04
Redefining AI Hardware for Enterprise with SambaNova’s Rodrigo Liang
1:06:05
Navigating the Vector Database Landscape
58:31
Transforming Data into Business Solutions with Salesforce AI CEO, Clara Shih
1:04:24
Upgrading Your Health: Navigating AIs Future In Healthcare with John Halamka of Mayo Clinic Platform
53:47
Shaping the World of Robotics with Chelsea Finn
1:08:26
The Power of AI in Search with You.com's Richard Socher
1:04:14
AI's Future: Investment & Impact with Sarah Guo and Elad Gil of the No Priors Podcast
57:40
Revolutionizing AI Data Management with Jerry Liu, CEO of LlamaIndex
58:43
Spatial Data and AI: The Next Frontier in Technological Innovation with Paul Copplestone
1:14:45
Bridging AI & Science: The Impact of Machine Learning on Material Innovation with Joe Spisak of Meta
52:28
Founders Talk: Chris Van Pelt On W&B, MLOps & Bringing LLMs To Production
56:35
Open Access of LLMs with Brandon Duderstadt, Co-Founder and CEO of Nomic AI (GPT4ALL and Atlas)
1:05:18
Exploring PyTorch and Open-Source Communities: Interview with Soumith Chintala of Meta & PyTorch
1:07:42
Advanced AI Accelerators and Processors with Andrew Feldman of Cerebras Systems
1:03:28
Enabling LLM-Powered Applications with Harrison Chase of LangChain
1:04:23
Autonomous Mobile Robot Deployment: Interview with Jean Marc Alkazzi at idealworks
1:05:44
How EleutherAI Trains and Releases LLMs: Interview with Stella Biderman
1:07:53
Scaling LLMs and Accelerating Adoption: Interview with Aidan Gomez
1:05:56
Jonathan Frankle of MosiacML— Neural Network Pruning and Training
54:39
Operationalizing Machine Learning: Interview with Shreya Shankar
1:09:16
Dave Rogenmoser & Saad Ansari on Growing & Maintaining Jasper AI
1:16:24
Expert Insights on the Last AI Renaissance: Interview with Sarah Catanzaro of Amplify Partners
40:27
The Future of Content Creation and AI: Insights from Cristóbal Valenzuela"
1:12:58
Jeremy Howard of fast.ai— The Simple but Profound Insight Behind Diffusion
52:35
Jerome Pesenti — Large Language Models, PyTorch, and Meta
1:00:26
D. Sculley — Technical Debt, Trade-offs, and Kaggle
1:10:29
Emad Mostaque — Stable Diffusion, Stability AI, and What’s Next
1:00:02
Jehan Wickramasuriya — AI in High-Stress Scenarios
45:22
Will Falcon — Making Lightning the Apple of ML
50:01
Aaron Colak — ML and NLP in Experience Management
57:58
Jordan Fisher — Skipping the Line with Autonomous Checkout
1:09:01
Drago Anguelov — Robustness, Safety, and Scalability at Waymo
1:06:12
James Cham — Investing in the Intersection of Business and Technology
35:58
Boris Dayma — The Story Behind DALL·E mini, the Viral Phenomenon
1:00:48
Tristan Handy — The Work Behind the Data Work
44:54
Johannes Otterbach — Unlocking ML for Traditional Companies
46:22
Mircea Neagovici — Robotic Process Automation (RPA) and ML
48:55
Jensen Huang — NVIDIA's CEO on the Next Generation of AI and MLOps
43:40
Peter & Boris — Fine-tuning OpenAI's GPT-3
53:42
Ion Stoica — Spark, Ray, and Enterprise Open Source
52:02
Stephan Fabel — Efficient Supercomputing with NVIDIA's Base Command Platform
1:00:59
Chris Padwick — Smart Machines for More Sustainable Farming
52:08
Kathryn Hume — Financial Models, ML, and 17th-Century Philosophy
55:25
Sean and Greg — Biology and ML for Drug Discovery
49:31
Chris, Shawn, and Lukas — The Weights & Biases Journey
53:29
Pete Warden — Practical Applications of TinyML
57:25
Pieter Abbeel — Robotics, Startups, and Robotics Startups
56:23
Chris Albon — ML Models and Infrastructure at Wikimedia
1:13:05
Emily M. Bender — Language Models and Linguistics
56:53
Jeff Hammerbacher — From data science to biomedicine
1:08:17
Josh Bloom — The Link Between Astronomy and ML
50:14
Xavier Amatriain — Building AI-powered Primary Care
43:46
Spence Green — Enterprise-scale Machine Translation
1:04:53
Roger & DJ — The Rise of Big Data and CA's COVID-19 Response
40:50
Amelia & Filip — How Pandora Deploys ML Models into Production
48:29
Luis Ceze — Accelerating Machine Learning Systems
43:02
Matthew Davis — Bringing Genetic Insights to Everyone
46:35
Clément Delangue — The Power of the Open Source Community
44:28
Wojciech Zaremba — What Could Make AI Conscious?
57:11
Phil Brown — How IPUs are Advancing Machine Intelligence
45:30
Alyssa Simpson Rochwerger — Responsible ML in the Real World
45:41
Sean Taylor — Business Decision Problems
45:55
Polly Fordyce — Microfluidic Platforms and Machine Learning
48:03
Adrien Gaidon — Advancing ML Research in Autonomous Vehicles
33:59
Nimrod Shabtay — Deployment and Monitoring at Nanit
42:03
Chris Mattmann — ML Applications on Earth, Mars, and Beyond
49:28
Vladlen Koltun — The Power of Simulation and Abstraction
39:04
Dominik Moritz — Building Intuitive Data Visualization Tools
49:09
Cade Metz — The Stories Behind the Rise of AI
56:09
Dave Selinger — AI and the Next Generation of Security Systems
54:10
Tim & Heinrich — Democraticizing Reinforcement Learning Research
46:19
Daphne Koller — Digital Biology and the Next Epoch of Science
36:21
Piero Molino — The Secret Behind Building Successful Open Source Projects
Rosanne Liu — Conducting Fundamental ML Research as a Nonprofit
47:13
Sean Gourley — NLP, National Defense, and Establishing Ground Truth
50:12
Peter Wang — Anaconda, Python, and Scientific Computing
1:03:27
Chris Anderson — Robocars, Drones, and WIRED Magazine
45:38
Adrien Treuille — Building Blazingly Fast Tools That People Love
47:11
Peter Norvig – Singularity Is in the Eye of the Beholder
35:19
Robert Nishihara — The State of Distributed Computing in ML
58:41
Ines & Sofie — Building Industrial-Strength NLP Pipelines
37:10
Daeil Kim — The Unreasonable Effectiveness of Synthetic Data
1:19:18
Joaquin Candela — Definitions of Fairness
50:55
Richard Socher — The Challenges of Making ML Work in the Real World
59:53
Zack Chase Lipton — The Medical Machine Learning Landscape
44:18
Anthony Goldbloom — How to Win Kaggle Competitions
34:57
Suzana Ilić — Cultivating Machine Learning Communities
51:10
Jeremy Howard — The Story of fast.ai and Why Python Is Not the Future of ML
44:32
Anantha Kancherla — Building Level 5 Autonomous Vehicles
55:11
Bharath Ramsundar of Deep Forest Sciences — Deep Learning for Molecules and Medicine Discovery
43:08
Chip Huyen of Claypot AI— ML Research and Production Pipelines
1:28:15
Peter Skomoroch — Product Management for AI
1:02:26
Miles Brundage — Societal Impacts of Artificial Intelligence
48:20
Josh Tobin — Productionizing ML Models
36:05
Hamel Husain — Building Machine Learning Tools
54:22
Peter Welinder — Deep Reinforcement Learning and Robotics
34:03
Vicki Boykis — Machine Learning Across Industries
52:38
Angela & Danielle — Designing ML Models for Millions of Consumer Robots
55:56
Jack Clark — Building Trustworthy AI Systems
36:51
Rachael Tatman — Conversational AI and Linguistics
44:56
Nicolas Koumchatzky — Machine Learning in Production for Self-Driving Cars
34:31
Brandon Rohrer — Machine Learning in Production for Robots
