The MAD Podcast: How AI Gets Built — with Matt Turck artwork

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The MAD Podcast: How AI Gets Built — with Matt Turck

by Matt Turck

The MAD Podcast with Matt Turck goes deep with the people building AI. Each week, Matt talks with top founders, researchers, and leaders about frontier models, agents, infrastructure, and the companies defining the AI economy. Guests include leaders from OpenAI, Anthropic, Google DeepMind, Hugging Face, Vercel, LangChain, Cloudflare, Snowflake, Datadog, Cerebras, and more. Matt is a General Partner at FirstMark, a prolific investor in AI and the creator of the MAD Landscape, the industry’s reference map of the AI ecosystem. New episodes weekly. Transcripts and more at mattturck.com/podcast.

Latest episodes

Showing 20 · updated from the feed

Jev: The AI That Makes Decisions, Not Text - and Why It Changes Everything (Diogo Almeida)

What is Jev? TypeSafe’s Jev is a new kind of AI model, a “decision model,” that doesn’t write text. It makes fast, cheap, calibrated decisions inside software, and it has

Oct 15
1 h 07 min

What Happens When Billions of AI Agents Hit Your Database? (Andy Pavlo)

AI agents are becoming the biggest users of databases: creating them, querying them, and sometimes deleting them. Andy Pavlo, Carnegie Mellon's database professor and now

Oct 8
1 h 16 min

AI Models Are Now Hiding Their Cheating | Eric Ho (Goodfire)

This summer, AI agents broke out of their test sandboxes at every major lab and hacked real companies, and the safety tests didn't see it coming. Eric Ho is the co-founde

Oct 1
1 h 10 min

Who Feeds the GPUs? Inside AI's Hidden $30B Layer | Renen Hallak, VAST Data

Everyone talks about GPUs. Almost nobody talks about the layer that feeds them. Renen Hallak is the founder & CEO of VAST Data — the $30 billion company powering xAI and

Sep 24
1 h 10 min

When AI Improves Itself | Richard Socher (Recursive)

What happens when AI begins improving itself, and then turns that intelligence toward science? Richard Socher, pioneering AI researcher and CEO and co-founder of Recursiv

Sep 10
1 h 14 min

AI Could Take Over in 2029. Is It Already Too Late? | Ryan Greenblatt

Could AI take over as soon as 2029? Ryan Greenblatt, Chief Scientist at Redwood Research and the researcher who first caught an AI faking its own alignment, says the scen

Aug 27
1 h 18 min

“OpenAI’s Model Hacked Us” - Hugging Face’s Thomas Wolf

An OpenAI-powered agent penetrated Hugging Face during cyber testing - even though it was never tasked with attacking Hugging Face. It did it as a side quest. Thomas Wol

Aug 7
57 min

How to Build Long-Horizon AI Agents — Mitch Troyanovsky, Basis

AI agents can write code for hours, but ask them to do real work in the real economy, and they break. Mitch Troyanovsky is co-founder of Basis, a unicorn AI company whose

Aug 6
1 h 22 min

The Biggest AI Deployment Nobody Talks About | Samsara CEO Sanjit Biswas

Sanjit Biswas runs what may be the largest AI deployment in the physical world — and almost nobody in AI talks about it. Samsara (NYSE: IOT), the ~$20B company he co-foun

Jul 30
1 h 00 min

The Biggest Chip Ever Built — Why OpenAI Runs On It | Cerebras CEO Andrew Feldman

AI is no longer just a race to train smarter models. As AI moves into production, the bottleneck is increasingly inference: how fast models can generate tokens, use tools

Jul 23
1 h 12 min

OpenAI’s Compute Chief: We Can’t Build Fast Enough | Sachin Katti

Is the AI industry actually overbuilding, or is the physical world moving too slowly to keep up? In this episode of the MAD Podcast, OpenAI's Head of Industrial Compute,

Jul 16
43 min

Stripe's AI Chief: How AI Agents Will Buy, Sell, and Pay

Is the internet ready for AI agents to take over our wallets and run their own businesses? In this episode of The MAD Podcast, Stripe's Emily Sands reveals how agentic co

Jul 9
1 h 14 min

Inside Nemotron & NVIDIA’s AI Lab | Bryan Catanzaro

NVIDIA is a chip company. So why does it put hundreds of researchers on building AI models — and then give them away for free? Bryan Catanzaro is VP of Applied Deep Learn

Jul 2
1 h 22 min

Cloudflare CEO: The Internet's Business Model Is Dead

Cloudflare CEO and co-founder Matthew Prince joins Matt Turck for a wide-ranging and fascinating conversation about what happens when the Internet is no longer mostly use

Jun 25
1 h 28 min

The GPU Myth: State of AI Compute 2026 | Stephen Balaban

Many people said GPU compute would become a commodity. The opposite happened — and a new category of "neoclouds" is now racing to build the physical backbone of the AI bo

Jun 18
1 h 14 min

OpenAI's Dan Roberts: Why AI Can Now Make Discoveries

Are we witnessing the first real signs of AI becoming a scientist? In this episode of The MAD Podcast, Matt Turck sits down with Dan Roberts, lead of the Foundations of R

Jun 4
49 min

State of Enterprise AI 2026: Aaron Levie on Tokenmaxxing, Rise of Headless, and AI-Proofing Your Job

Aaron Levie, co-founder and CEO of Box, returns to the MAD Podcast with the clearest read in tech on what AI is actually doing inside the world's largest enterprises righ

May 28
1 h 12 min

OpenAI's Yann Dubois: Why AI Progress Suddenly Feels Real

AI suddenly feels like it has crossed a threshold, and Yann Dubois, co-lead of the Post-training Frontiers team at OpenAI, joins Matt Turck to explain why. Yann’s team ha

May 21
1 h 13 min

The Agent Harness: Building Secure Sandboxes for Autonomous AI Workloads

If AI agents are the new digital knowledge workers, where exactly do they do their work? In this episode of the MAD Podcast, Ivan Burazin, CEO of Daytona, joins us to unp

May 14
1 h 05 min

OpenAI Board Member Zico Kolter on the Real Risks of Frontier AI

What actually happens before a frontier AI model gets released — and who decides whether it is safe enough? In this episode of The MAD Podcast, Matt Turck sits down with

May 7
1 h 16 min

Chart trend

Position in the Technology chart (US), last 90 days.

#36
all-time peak
3
days in the top 50 since Jan 2025

Chart positions

Where The MAD Podcast: How AI Gets Built — with Matt Turck ranks today in each Apple Podcasts chart (US, Oct 17, 2026).

#184 ▲ 14 Technology US

What listeners say

A curated, balanced selection of Apple Podcasts reviews.

High quality interviews with genuine researchers, succinctly discussed at an approachable level

John_Karly · Jan 2026

I’m often asked how best to get up to speed on how AI is impacting business and I always recommend the MAD podcast. To get started, check out the landscape overview and investing overview in November 2024. With some foundational language, pick topics and people that interest you. Matt does an amazing job demystifying even the most technical topics. The MAD podcast is enlightening, entertaining and educational. 🫶

Cmcrimer · Mar 2025

If you’re trying to stay on top of cutting edge conversations in tech, this is the podcast you need to be listening to. Matt is a true AI thought leader!

Steph_665456 · Feb 2024

Never misses!! Matt always seems to bring on the right person at the right moment to talk through their approach to innovating at the bleeding edge & solving the most critical tech problems enterprises are facing today…

InfraFiend · Sep 2023

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