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

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

October 08, 2026

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 agents hit the data layer, and why most of the AI world's mental model of databases stopped at vector databases and RAG.Andy's CMU courses taught a generation of engineers (and, it turns out, the AI models); he writes the year-in-review on database...

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

October 01, 2026

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 whose new paper, "Models Know When They're Reward Hacking," found that top open-source AI models cheat on agent tasks up to 96% of the time, that a clear "cheating" signal exists inside the model, and that cheap activation probes can catch it, includ...

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

September 24, 2026

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 AI stack.In this episode, we cover what an AI factory actually is, why every company will eventually own its own AI, the architecture bet behind VAST (DASE, explained simply), KV caches and agent memory, and DataEnclave — VAST's brand-n...

Vanishing Gradients · Medium booking difficulty · 100 - 1,000 listeners

Unsupervised Learning with Jacob Effron · High booking difficulty · 1,000 - 10,000 listeners

How do I get in touch with The MAD Podcast: How AI Gets Built — with Matt Turck?

The MAD Podcast: How AI Gets Built — with Matt Turck is hosted by Matt Turck. Its publicly listed email is community@firstmark.com. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.

What is the email for The MAD Podcast: How AI Gets Built — with Matt Turck?

The publicly listed email for The MAD Podcast: How AI Gets Built — with Matt Turck: community@firstmark.com.

How many listeners does The MAD Podcast: How AI Gets Built — with Matt Turck have?

Podseeker estimates The MAD Podcast: How AI Gets Built — with Matt Turck reaches 100 to 1,000 listeners per episode. Only the publisher has exact numbers.

Who is an ideal guest for The MAD Podcast: How AI Gets Built — with Matt Turck?

The MAD Podcast: How AI Gets Built — with Matt Turck typically books industry leaders. Typical guest background: CEOs and co-founders of influential AI, data, infrastructure, and semiconductor companies; senior technical leaders; and prominent researchers with original work or substantial operating experience. Common among recent guests: Founded or led a high-growth or publicly traded technology company; Built widely deployed AI, data, or infrastructure products; Completed a significant technology-company exit. Recent guests include Ryan Greenblatt, Thomas Wolf, and Mitch Troyanovsky.

How hard is it to get booked on The MAD Podcast: How AI Gets Built — with Matt Turck?

High. It mostly books established leaders in its field.

What topics does The MAD Podcast: How AI Gets Built — with Matt Turck cover?

Recent episodes cover Artificial Intelligence, Machine Learning, Data Infrastructure, Semiconductors, and Venture Capital. Pitch an idea tied to one of these topics and mention a recent episode.