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Artwork for The MAD Podcast: How AI Gets Built

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

Matt Turck
Generative AI
Machine Learning
Artificial Intelligence
AI Agents
Reinforcement Learning
Openai
Large Language Models
Artificial General Intelligence
Anthropic
Data Analytics
Data Engineering
Deepmind
Deep Learning
Cloud Computing
Open Source AI
Nvidia
Data Warehousing
Data Analysis
Claude Code
AI Infrastructure

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 Partne... more

PublishesWeeklyEpisodes133Founded3 years ago
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Technology

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Artwork for The MAD Podcast: How AI Gets Built

Latest Episodes

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 VP of Database Research at ClickHouse, explains what changes when billions of a... more

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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-founder and CEO of Goodfire, the Anthropic-backed mechanistic interpretability lab who... more

YouTube

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 some of the world's biggest AI clouds — and he sits in the hidden layer of the A... more

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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 Recursive, joins Matt Turck to explore the vision behind his new book, The Eureka Machin... more

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Recent Guests

Andy Pavlo
Carnegie Mellon professor and database expert
ClickHouse Labs (guest activity mentioned)
Episode: What Happens When Billions of AI Agents Hit Your Database? (Andy Pavlo)
Eric Ho
CEO of Goodfire
Goodfire
Episode: AI Models Are Now Hiding Their Cheating | Eric Ho (Goodfire)
Renen Hallak
Founder and CEO of VAST Data
VAST Data
Episode: Who Feeds the GPUs? Inside AI's Hidden $30B Layer | Renen Hallak, VAST Data
Ryan Greenblatt
Chief Scientist at Redwood Research
Redwood Research
Episode: AI Could Take Over in 2029. Is It Already Too Late? | Ryan Greenblatt
Thomas Wolf
Co-founder and Chief Science Officer, Hugging Face
Hugging Face
Episode: “OpenAI’s Model Hacked Us” - Hugging Face’s Thomas Wolf
Mitch Troyanovsky
Co-founder of Basis, AI company building autonomous long-horizon agents
Basis
Episode: How to Build Long-Horizon AI Agents — Mitch Troyanovsky, Basis
Sanjit Biswas
Co-founder and CEO of Samsara
Samsara
Episode: The Biggest AI Deployment Nobody Talks About | Samsara CEO Sanjit Biswas
Andrew Feldman
CEO and Co-founder of Cerebras
Cerebras
Episode: The Biggest Chip Ever Built — Why OpenAI Runs On It | Cerebras CEO Andrew Feldman
Sachin Katti
Head of industrial compute at OpenAI
OpenAI
Episode: OpenAI’s Compute Chief: We Can’t Build Fast Enough | Sachin Katti

Host

Matt Turck
Host of The MAD Podcast, AI/data investor and partner at FirstMark Capital

Reviews

5.0 out of 5 stars from 96 ratings
  • Exactly the AI podcast your looking for

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

    Apple Podcasts
    5
    John_Karly
    United States9 months ago
  • Keeping sharing the latest and bring amazing thinking !

    Great show and weekly must follow

    Apple Podcasts
    5
    NishaPaliwal
    United Statesa year ago
  • Global Investment Views

    Recommend if interested in broader perspectives for investing in business + tech -+ government interdependencies globally.

    Apple Podcasts
    5
    Cnaloha
    United Statesa year ago
  • Best way to keep up with AI

    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. 🫶

    Apple Podcasts
    5
    Cmcrimer
    United States2 years ago
  • The best technology podcast!

    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!

    Apple Podcasts
    5
    Steph_665456
    United States3 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Audiences value the breadth of guests from academia to industry and the depth of technical and strategic insights.
Listeners praise high-quality interviews with researchers and practitioners, with clear, accessible discussions.
The show is respected for staying up-to-date on AI progress and providing practical context.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#149
United Kingdom/Technology
Apple Podcasts
#153
Australia/Technology
Apple Podcasts
#211
Germany/Technology
Apple Podcasts
#45
Israel/Technology
Apple Podcasts
#90
Spain/Technology
Apple Podcasts
#99
Hong Kong/Technology

Talking Points

Recent interactions between the hosts and their guests.

AI Could Take Over in 2029. Is It Already Too Late? | Ryan Greenblatt
Q: Can you explain Plan A and how it would work in practice with China?
Plan A proposes a structured, transparent deal where compute is tracked, initial pauses in training are implemented, and both sides agree on governance and verification to prevent overtaking while still allowing safe AI development.
AI Could Take Over in 2029. Is It Already Too Late? | Ryan Greenblatt
Q: What makes superintelligence so dangerous, and why pause or slow the trajectory?
Because it could lead to a takeover or extreme power concentration, and our current governance and safety frameworks may not be equipped to keep pace with the capabilities and deployment speed of such systems.
The Biggest Chip Ever Built — Why OpenAI Runs On It | Cerebras CEO Andrew Feldman
Q: Why did you pursue wafer-scale architecture despite enormous manufacturing challenges?
Because AI inference workloads are dominated by data movement rather than compute once the weights are loaded, so a massively larger, SRAM-rich chip can overcome memory bandwidth limits and deliver real-time, scalable performance.
The Biggest Chip Ever Built — Why OpenAI Runs On It | Cerebras CEO Andrew Feldman
Q: What is the core architectural insight that makes Cerebras faster for AI inference than GPUs?
The key is moving weights from memory to compute with SRAM in a wafer-scale chip, enabling dramatically higher memory bandwidth and reducing the data movement bottlenecks that slow inference on traditional GPUs that rely on DRAM/HBM.
The Biggest AI Deployment Nobody Talks About | Samsara CEO Sanjit Biswas
Q: What has changed with the advent of generative AI and edge/cloud playback, and how does that affect your product?
Generative AI enables video reasoning and more nuanced understanding of on-road and on-site events. We can generate contextual coaching, explain why a decision was made, and even create AI-driven coaching avatars for driver feedback. Edge inference remains crucial for latency and reliability, while cloud-based models handle more complex reasoning and long-horizon planning.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Frequently Asked Questions About The MAD Podcast: How AI Gets Built

What is The MAD Podcast: How AI Gets Built about and what kind of topics does it cover?

This show features in-depth conversations with leaders at the intersection of machine learning, AI, and data, focusing on real-world deployments, architecture, and strategy for enterprise and research. Episodes frequently cover AI infrastructure, compute, safety, governance, and the economics of deploying cutting-edge AI at scale, often with executives, researchers, and entrepreneurs from top tech companies and startups. A notable strength is the breadth of guests—from silicon and systems experts to product and policy leaders—providing a well-rounded view of how AI technologies translate into business value, risk management, and innovation. Listeners are likely looking for practical insights on enterprise AI adoption, new tooling, and the s... more

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1. Training Data
2. No Priors: Artificial Intelligence | Technology | Startups
3. Dwarkesh Podcast
4. SemiAnalysis Weekly
5. The a16z Show

How many episodes of The MAD Podcast: How AI Gets Built are there?

The MAD Podcast: How AI Gets Built launched 3 years ago and published 133 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on The MAD Podcast: How AI Gets Built?

Recent guests on The MAD Podcast: How AI Gets Built include:

1. Andy Pavlo
2. Eric Ho
3. Renen Hallak
4. Ryan Greenblatt
5. Thomas Wolf
6. Mitch Troyanovsky
7. Sanjit Biswas
8. Andrew Feldman

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