HeyJaredThe MAD Podcast with Matt Turck
The MAD Podcast with Matt Turck, is a series of conversations with leaders from across the Machine Learning, AI, & Data landscape hosted by leading AI & data investor and Partner at FirstMark Capital, Matt Turck.
- Indexed episodes, last 90 days
- 9
- Latest publication
- Sep 24, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 9, 2026
Latest episodes
Who Feeds the GPUs? Inside AI's Hidden $30B Layer | Renen Hallak, VAST Data (opens the original)
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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-new confidentia
When AI Improves Itself | Richard Socher (Recursive) (opens the original)
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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 Machine. They discuss why scientific progress may be slowing, how large language models can learn the hidden languages of proteins and biology, and why simulations, verifiers and autonomous experiments could unlock superhuman AI capabilities. The conversat
AI Could Take Over in 2029. Is It Already Too Late? | Ryan Greenblatt (opens the original)
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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 scenario he actually expects ends with AI systems "competently scheming" against their creators. In this episode, he explains why he recommends planning for fully automated AI research by 2029, why today's models are already more misaligned than the one that made him famous, and what happens in the year-by-year path from AI coding a
“OpenAI’s Model Hacked Us” - Hugging Face’s Thomas Wolf (opens the original)
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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 Wolf, co-founder and Chief Science Officer of Hugging Face, joins Matt Turck to unpack what actually happened, why closed AI models refused to help during the live incident, how an open-source model helped the team fight back, and why the old equation of “closed equals safe, open equals dangerous” no longer holds. They also discuss
How to Build Long-Horizon AI Agents — Mitch Troyanovsky, Basis (opens the original)
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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 agents run autonomously for hours — sometimes days — completing complex tax returns end to end. His answer to the reliability problem: stop grading outcomes, and start supervising the process. This is a definitive, reference-style conversation on building long-horizon AI agents. Mitch walks through the full history — from ReAct
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