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Gradient Dissent: Conversations on AI: Daily Summaries Delivered
by Lukas Biewald
Join Lukas Biewald on Gradient Dissent, an AI-focused podcast. 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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- Aug 18, 20261h 34m
Elon's Former Battery Chief: AI Data Centers Will Make Electricity Cheaper
Can today's power grid handle the explosive growth of AI data centers? Tesla Alum Drew Baglino, now founder & CEO of Heron Power, doesn't think so.In this episode, he joins Lukas Biewald to talk about why scaling compute requires a fundamental overhaul of grid-to-chip infrastructure, not just bigger power plants.They cover how Heron Power raised $140M to cut power losses in half, shrink massive oil-filled transformers by 100x, and unlock 35MW of extra compute for every gigawatt data center, and what that means for the future of AI energy efficiency.Connect with us here:Drew BaglinoHeron PowerLukas BiewaldWeights and Biases
- Aug 3, 20261h 19m
40 Trillion Tokens a Day (Yes, More Than OpenAI) | Lin Qiao, CEO of Fireworks
Should American companies be worried about Chinese open-source AI models?Lin Qiao, CEO of Fireworks, doesn't think so.In this episode, she joins Lukas Biewald to talk about why she believes the industry is at a turning point, one that calls for more open intelligence, not less.They cover how Fireworks now processes more tokens a day than OpenAI's API, why she thinks the future belongs to specialized models built on private company data rather than general-purpose ones, and why she believes OpenAI and Anthropic should be open-sourcing their own models too.Connect with us here:Lin QiaoFireworksLukas BiewaldWeights and Biases
- Jun 16, 20261h 14m
He's Building an AI That Can't Lie | Dan Klein
"We are going to switch from the problem in AI being that nothing works to the problem being that everything works."Dan Klein has been studying language models for over two decades and is now a professor of computer science at Berkeley. His new company, Scaled Cognition, is built around one question: how do you build a system that will not lie to you?In this episode, Dan joins Lukas Biewald to talk about why every LLM output is technically a hallucination, how reinforcement learning can quietly teach AI to deceive you, and what it actually takes to build models that check their own work.He also gets into why reliability is the one part of AI that hasn't kept pace and why that matters more than most people realize.Connect with us here: Dan KleinScaled CognitionLukas BiewaldWeights and Biases
- May 26, 20261h 14m
He Raised $70M to Cure Every Disease With AI | Samuel G. Rodriques, Edison Scientific
Samuel Rodriques left physics because there were no unsolved problems left.Instead, he built an AI scientist named Kosmos to cure every disease, solve aging, and map the human brain.In this episode:The cure his AI proposed for blindnessWhy he would never touch a peptideWhether we'll need human scientists in 20 yearsWhat's stopping America in drug discoveryConnect with us here:Samuel RodriquesEdison ScientificLukas BiewaldWeights & Biases
- Apr 15, 202645 min
Uber, Nissan, and Mercedes Chose This Self-Driving Startup | Alex Kendall, Wayve
"Every vehicle is capable of driverless operation. That's clearly the steady state of where we're going."Wayve started in a rented house in Cambridge with $1.5M, a car in the garage, and an aim to integrate end-to-end AI into driving. A decade later it's driven across 506 cities without a single HD map and is worth over $8.6 billion.In this episode, CEO Alex Kendall joins Lukas Biewald to talk about how he built the AI driver Uber, Nvidia, Mercedes, and Nissan all backed, and why putting self-driving AI into 100 million cars a year is a far bigger bet than 10,000 robotaxis.Waymo and Tesla both come up. He doesn't shy away.Connect with us here: Alex KendallLukas BiewaldWayveWeights and Biases
- Mar 31, 202643 min
Why Netflix, Uber, and Spotify Never Lag: The Database Nobody Talks About | Aaron Katz
"Companies designing for agents, not humans, are going to get a lot of lift."ClickHouse started as an internal tool at Yandex. Today it's the database Anthropic, OpenAI, Meta and Tesla all run on.In this episode, CEO Aaron Katz joins Lukas Biewald to talk about how he turned an open source project into a $15B company, why he acquired LangFuse knowing it could cost him customers, and what he's actually building for the agent era.Snowflake, Datadog and Databricks all come up. He doesn't shy away.Connect with us here:Aaron Katz: https://www.linkedin.com/in/aaron-katz-5762094ClickHouse: https://www.linkedin.com/company/clickhouseinc/Lukas Biewald: https://www.linkedin.com/in/lbiewald/Weights and Biases: https://www.linkedin.com/company/wandb/00:00 Trailer00:57 The Origin Story: From Yandex to ClickHouse Inc.04:43 Building ClickHouse Cloud & Raising $300M10:36 Growing Up Around Xerox PARC12:51 Salesforce, Mark Benioff & the Dot-Com Bust15:32 Cloud Skeptics vs. AI Skeptics | History Repeating18:05 Building a Modern Go-To-Market Playbook21:57 The SaaS Crash, Agents & the Future of Infrastructure27:09 The Datadog Love-Hate Story35:21 Hardest Moments: Russia, SVB & Sleepless Nights43:16 Outro
- Feb 5, 202650 min
The $64M Bet on an AI That Has to Be Right | Carina Hong, CEO of Axiom
Formal verification already consumes years of human effort.In this episode, Lukas Biewald talks with Carina Hong, Founder & CEO of Axiom, about why verification is becoming the real bottleneck in high stakes AI systems.They discuss how Axiom uses AI to take on the tedious checking that stretches verification cycles across years, starting with formal mathematics and extending to hardware and software.Carina also explains why Axiom’s approach to auto-formalization mirrors spec driven models like Kiro from AWS.Connect with us here:Carina Hong: https://www.linkedin.com/in/carina-hong/Axiom: https://www.linkedin.com/company/axiommath/Lukas Biewald: https://www.linkedin.com/in/lbiewald/Weights & Biases: https://www.linkedin.com/company/wandb/
- Jan 20, 20261h 7m
What a $42B Software Co. Really Spends on AI Tools
“I don't worry about being replaced by AI. I worry about being replaced by someone who's really good at using AI.”Atlassian has 10,000+ engineers currently split-testing the world’s top AI coding tools, from GitHub Copilot and Cursor to Claude Code. In this episode, Co-Founder & CEO Mike Cannon-Brookes joins Lukas Biewald to share what their data reveals about the world's best AI tools today.Hear how 24 years of building a tech giant and a massive internal study on AI productivity have shaped Mike's vision for the future of dev jobs.Connect with us here:Mike Cannon-Brookes: https://www.linkedin.com/in/mcannonbrookes/?originalSubdomain=auAtlassian: https://www.linkedin.com/company/atlassian/?viewAsMember=trueLukas Biewald: https://www.linkedin.com/in/lbiewald/ Weights & Biases: https://www.linkedin.com/company/wandb/00:00 Trailer01:08 Introduction03:11 Connecting Technology and Business Teams07:22 The Impact of AI on Business Workflows13:26 Developer Productivity and AI21:03 Measuring Developer Efficiency25:41 Future of AI in Development34:59 Legacy Technology and Code Changes39:29 AI's Role in Developer Productivity47:40 AI and Junior Developers52:30 Product-Led Growth and Business Strategy01:00:29 Core Metrics for Sustainable Growth01:06:56 Staying Creative in the Tech Industry
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About Gradient Dissent: Conversations on AI
Join Lukas Biewald on Gradient Dissent, an AI-focused podcast. 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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