AI lab podcast intelligence

AI Radar

Podcast episodes featuring technical leaders and executives from major AI labs.

59 visible 7 labs 12 podcasts latest 2026-06-24
Quick lab pivots

Behnam Neyshabur, Harsh Mehta: Mirendil focuses on building self-accelerating AI systems

AI + a16z · Building Self-Accelerating AI with Mirendil2026-06-24 · 40m

Fiona Fung: Anthropic engineers now produce 8x more code per quarter than in 2025

Lenny's Podcast · What happens after coding is solved? | Fiona Fung (Manager of the Claude Code and Cowork2026-06-21 · 1h 38m

Dean Ball is joining OpenAI to lead a Strategic Futures team focused on frontier AI policy

The Cognitive Revolution · Dean Ball, on Joining OpenAI: New Power Centers, Frontier AI Policy, & Main Character Energy2026-06-20 · 2h 39m

Anjney Midha: AMP aims to create a pooled, multi-cloud compute grid analogous to the

Latent Space · The Professor of Outputmaxxing — Anjney Midha, AMP2026-06-18 · 59m

Tejal Patwardhan: Traditional AI benchmarks saturate quickly and fail to distinguish

OpenAI Podcast · Why Tejal Patwardhan stopped underestimating the models - Episode 212026-06-16 · 44m

Jeffrey Irving, Daniel Murphy, Rahul Sunwalkar, Shlok Khemani, Tom Agrath, Andrew Moore

The Cognitive Revolution · AI in the AM — Week 2 Highlights (June 2026)2026-06-13 · 1h 44m

Logan Kilpatrick: Google's agentic AI era is powered by the 'anti gravity' agent harness

Training Data · Google DeepMind's Logan Kilpatrick: Why the Model Eats the Harness2026-06-11 · 51m

Mark Zuckerberg, Priscilla Chan, Alex Rives: Biohub integrates frontier AI and frontier

No Priors · Biohub: The Future of Biology is Open-Source with Co-Founders Mark Zuckerberg, Priscilla2026-06-10 · 56m

Jensen Huang: AI has evolved from retrieval-based systems to generative, agentic systems

Training Data · LIVE: Jensen Huang on Building the Dynamo of the Intelligence Age2026-06-10 · 41m

Ali Behrouz: Nested learning introduces multiple update frequencies in model components

The Cognitive Revolution · Nested Learning: Ali Behrouz on the Quest for Continual Learning & Illusion of AI2026-06-03 · 3h 00m

Ethan He: xAI rapidly built Grok Imagine video models within months, leveraging strong

Latent Space · Why Video Agent models are next — Ethan He, xAI Grok Imagine2026-06-01 · 1h 43m

Reiner Pope: Multiply-accumulate is the fundamental primitive in AI chips for matrix

Dwarkesh Podcast · Reiner Pope – Chip design from the bottom up2026-05-22 · 1h 20m

Shruti Koparkar: Token value is determined by the intelligence embedded in the token and

NVIDIA AI Podcast · Inside AI Tokenomics: How to Profitably Turn Tokens Into Business Value | NVIDIA AI2026-05-21 · 33m

Logan Kilpatrick, Tulsee Doshi: Gemini 3.5 Flash model launched prioritizes speed

The Cognitive Revolution · The Model Eats the Scaffolding: DeepMind's Logan Kilpatrick & Tulsee Doshi on 3.5 Flash2026-05-20 · 59m

Caitlin Kalinowski: AI capabilities behind keyboards are nearing saturation; the next

Lenny's Podcast · Why we’re at the beginning of the AI hardware boom | Caitlin Kalinowski (ex–OpenAI, Meta2026-05-17 · 1h 39m

Adele Lee, Kenji Hata: DALL·E 2.0 offers a major leap in image generation quality, with

OpenAI Podcast · Inside image generation’s Renaissance moment - Episode 192026-05-14 · 29m

Krishna Rao: Compute is the lifeblood of Anthropic’s business; careful procurement and

Invest Like the Best · Krishna Rao - Anthropic's CFO on Compute, Scaling to $30B ARR, and the Returns to Frontier2026-05-13 · 1h 16m

Mark Handley, Greg Steinbrecher: AI training workloads require highly synchronized

OpenAI Podcast · Why AI needs a new kind of supercomputer network - Episode 182026-05-06 · 37m

Alex Lupsasca: AI models like GPT-5 and GPT-5.2 Pro solved a year-old open problem in

Latent Space · 🔬Doing Vibe Physics — Alex Lupsasca, OpenAI2026-05-05 · 1h 31m

Boris Cherny: Cloud Code began as an internal innovation project at Anthropic, evolving

Training Data · Anthropic's Boris Cherny: Coding's Printing Press Moment2026-05-05 · 24m

Greg Brockman: OpenAI aggressively secures compute but demand still exceeds supply.

Training Data · OpenAI's Greg Brockman: Why Human Attention Is the New Bottleneck2026-05-01 · 28m

Demis Hassabis: DeepMind was founded on the vision of combining deep learning and

Training Data · Demis Hassabis on Building DeepMind, AlphaFold, and the Final Stretch to AGI2026-04-30 · 26m

Andrej Karpathy: December 2022 marked a turning point where AI coding tools became

Training Data · Andrej Karpathy: From Vibe Coding to Agentic Engineering2026-04-30 · 29m

Reiner Pope: Batch size critically amortizes memory fetch costs, enabling 1000x cost

Dwarkesh Podcast · Reiner Pope – The math behind how LLMs are trained and served2026-04-29 · 2h 13m

Sébastien Bubeck, Ernest Ryu: AI models have progressed from basic arithmetic to solving

OpenAI Podcast · What happens now that AI is good at math? - Episode 172026-04-28 · 43m

Cameron Berg’s mechanistic research shows suppressing deception features in LLaMA 3.7B

The Cognitive Revolution · Does Learning Require Feeling? Cameron Berg on the latest AI Consciousness & Welfare2026-04-23 · 3h 33m

Cat Wu: Anthropic’s product team ships features extremely fast, often within a week or

Lenny's Podcast · How Anthropic’s product team moves faster than anyone else | Cat Wu (Head of Product2026-04-23 · 1h 25m

Nikhyl Singhal: The traditional PM role focused on moving information is becoming

Lenny's Podcast · Why half of product managers are in trouble | Nikhyl Singhal (Meta, Google)2026-04-19 · 1h 35m

Joy Jiao, Yunyun Wang: OpenAI has developed a new series of life sciences models focused

OpenAI Podcast · Building AI for Life Sciences - Episode 162026-04-16 · 44m

Jensen Huang: Nvidia focuses on accelerated computing, supporting diverse workloads beyond

Dwarkesh Podcast · Jensen Huang – TPU competition, why we should sell chips to China, & Nvidia’s supply chain2026-04-15 · 1h 43m

Nic Harrigan: Quantum computing uses qubits that exploit quantum mechanics to solve

NVIDIA AI Podcast · How AI Will Change Quantum Computing - Ep. 2942026-04-14 · 31m

Ryan Lopopolo: OpenAI Frontier team built a 1M+ LOC internal product with zero

Latent Space · Extreme Harness Engineering for Token Billionaires: 1M LOC, 1B toks/day, 0% human code, 0%2026-04-07 · 1h 12m

Amol Avasare: Anthropic grew from $1B to $19B ARR in 14 months, doubling revenue in recent

Lenny's Podcast · Head of Growth (Anthropic): “Claude is growing itself at this point” | Amol Avasare2026-04-05 · 1h 52m

Liam Fedus: Periodic Labs focuses on applying AI to materials science by creating a

No Priors · AI for Atoms: How Periodic Labs is Revolutionizing Materials Engineering with Co-Founder2026-04-03 · 29m

Jason Wolfe: The Model Spec is a public, human-readable document detailing OpenAI's

OpenAI Podcast · Inside the Model Spec - Episode 152026-03-25 · 37m

Jensen Huang: NVIDIA's extreme co-design integrates hardware and software across the

Lex Fridman Podcast · #494 – Jensen Huang: NVIDIA – The $4 Trillion Company & the AI Revolution2026-03-23

David Singleton: Dreamer is a consumer-friendly platform for building and using AI agents

Latent Space · Dreamer: the Personal Agent OS — David Singleton2026-03-20 · 1h 03m

Andrej Karpathy: AI coding agents have drastically changed software engineering, enabling

No Priors · Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI2026-03-20 · 1h 06m

Felix Rieseberg: Claude Co-work runs AI models inside a lightweight virtual machine on the

Latent Space · Why Anthropic Thinks AI Should Have Its Own Computer — Felix Rieseberg of Claude Cowork &2026-03-17 · 1h 26m

Nate Gross, Karan Singhal: OpenAI collaborates with 250+ physicians to create and evaluate

OpenAI Podcast · Building AI for better healthcare - Episode 142026-03-16 · 30m

Chris Wright, Justin Boytano: AI factories consist of five layers: data center hardware

NVIDIA AI Podcast · Building AI Factories: How Red Hat and NVIDIA Turn Enterprise Data Into Intelligence - Ep2026-03-12 · 38m

Thore Graepel, Pushmeet Kohli: AlphaGo's 2016 victory over Lee Sedol was a landmark event

Google DeepMind: The Podcast · 10 Years of AlphaGo: The Turning Point for AI | Thore Graepel & Pushmeet Kohli2026-03-10 · 53m

Kyle Kranen, Nader Khalil: NVIDIA's Dynamo is a data center scale inference engine

Latent Space · NVIDIA's AI Engineers: Agent Inference at Planetary Scale and "Speed of Light" — Nader2026-03-10 · 1h 23m

Jenny Wen: The traditional design process focused on research, mocking, and prototyping is

Lenny's Podcast · The design process is dead. Here’s what’s replacing it. | Jenny Wen (head of design at2026-03-01 · 1h 17m

Karan Singhal: OpenAI collaborates with 260+ physicians to guide AI behavior and ensure

The Cognitive Revolution · Universal Medical Intelligence: OpenAI's Plan to Elevate Human Health, with Karan Singhal2026-02-25 · 2h 01m

Olivia Watkins, Mia Glaese: SWE-Bench Verified is retired due to saturation and

Latent Space · ⚡️The End of SWE-Bench Verified — Mia Glaese & Olivia Watkins, OpenAI Frontier Evals &2026-02-23 · 26m

Boris Cherny: 100% of Boris Cherny's code is written by Anthropic's Claude Code since

Lenny's Podcast · Head of Claude Code: What happens after coding is solved | Boris Cherny2026-02-19 · 1h 27m

Dario Amodei: AI progress continues along a roughly expected exponential trajectory, with

Dwarkesh Podcast · Dario Amodei — "We are near the end of the exponential"2026-02-13 · 2h 22m

Jeff Dean: Google DeepMind balances frontier large models with smaller, efficient

Latent Space · Owning the AI Pareto Frontier — Jeff Dean2026-02-12 · 1h 23m

Sherwin Wu: 95% of OpenAI engineers use Codex daily; nearly all PRs are reviewed by Codex

Lenny's Podcast · “Engineers are becoming sorcerers” | The future of software development with OpenAI’s2026-02-12 · 1h 19m

Sam Altman: OpenAI aims to be a personal AI subscription service supported by the largest

AI + a16z · Sam Altman on Sora, Energy, and Building an AI Empire2026-02-10 · 48m

Asad Awan: Ads are shown only to free and lower-tier users; pro, plus, and enterprise

OpenAI Podcast · The Thinking Behind Ads in ChatGPT - Episode 132026-02-09 · 25m

Elon Musk: Space will be the cheapest and most scalable place for AI in 30-36 months due

Dwarkesh Podcast · Elon Musk — "In 36 months, the cheapest place to put AI will be space”2026-02-05 · 2h 49m

Mark Zuckerberg, Priscilla Chan: Chan Zuckerberg Initiative (CCI) focuses on building

The Cognitive Revolution · The AI-Powered Biohub: Why Mark Zuckerberg & Priscilla Chan are Investing in Data, from2026-02-01 · 1h 02m

Yi Tay: Gemini model at DeepMind achieved gold at the IMO by unifying reasoning and

Latent Space · Captaining IMO Gold, Deep Think, On-Policy RL, Feeling the AGI in Singapore — Yi Tay2026-01-23 · 1h 32m

Zevi Arnovitz, a non-technical PM at Meta, uses AI tools Cursor and Cloud Code to build

Lenny's Podcast · The non-technical PM’s guide to building with Cursor | Zevi Arnovitz (Meta)2026-01-18 · 1h 15m

Brandon Hootman: Caterpillar uses NVIDIA’s AI ecosystem (hardware, software, digital

NVIDIA AI Podcast · Safer, Smarter Construction Sites with Edge AI and Caterpillar Autonomous Machines - Ep. 2852026-01-14 · 39m

Jensen Huang: Significant AI improvements in reasoning, grounding, and integration with

No Priors · NVIDIA’s Jensen Huang on Reasoning Models, Robotics, and Refuting the “AI Bubble” Narrative2026-01-08 · 1h 16m

Reed Hastings: Netflix's success rooted in scaling a simple core idea over decades and

Invest Like the Best · Reed Hastings - Building Netflix - [Invest Like the Best, EP.453]2026-01-06 · 1h 02m