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The MAD Podcast with Matt Turck

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

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.

PublishesWeeklyEpisodes115Founded3 years ago
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Technology

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Latest Episodes

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 Zico Kolter — OpenAI board member, Head of the Machine Learning Department at Ca... more

Felix Rieseberg leads engineering for Claude Cowork at Anthropic, one of the most important new agentic AI products in the market today. In this episode of The MAD Podcast, Matt Turck sits down with Felix to discuss Anthropic’s newly announced Claude... more

Are we truly on the verge of AI automating its own research and development? In this deep-dive episode of the MAD Podcast, Matt Turck sits down with Mostafa Dehghani, a pioneering AI researcher at Google DeepMind whose work on Universal Transformers ... more

Is OpenAI trapped without a defensible moat? World-renowned independent tech analyst Benedict Evans returns to the MAD Podcast and argues that foundation models have zero network effects, making them closer to commodity infrastructure than the next i... more

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Recent Guests

Felix Rieseberg
Head of Engineering for Claude products at Anthropic
Anthropic
Episode: Anthropic’s Felix Rieseberg: Claude Cowork, Mythos, and the SaaS Extinction
Mostafa Dehghani
AI researcher at Google DeepMind and core contributor to Universal Transformer, Vision Transformer, Gemini
Google DeepMind
Episode: AI is Already Building AI | Google DeepMind’s Mostafa Dehghani
Harrison Chase
Co-founder and CEO of LangChain
LangChain
Episode: Everything Gets Rebuilt: The New AI Agent Stack | Harrison Chase, LangChain
Carina Hong
Founder and CEO of Axiom
Axiom
Episode: AI That Can Prove It’s Right: Verification as the Missing Layer in AI — Carina Hong
Neil Zeghidour
CEO of Gradium AI and former key AI researcher at DeepMind and Meta
Gradium AI
Episode: Voice AI’s Big Moment: Why Everything Is Changing Now (ft. Neil Zeghidour, Gradium AI)
Timothée Lacroix
CTO and co-founder of Mistral
Mistral
Episode: Mistral AI vs. Silicon Valley: The Rise of Sovereign AI
Dylan Patel
Analyst and specialist in semiconductors and AI technologies.
SemiAnalysis
Episode: Dylan Patel: NVIDIA's New Moat & Why China is "Semiconductor Pilled”
Sebastian Raschka
AI researcher and educator, known for his work in machine learning and AI education, including his book on building large language models from scratch.
Self-employed
Episode: State of LLMs 2026: RLVR, GRPO, Inference Scaling — Sebastian Raschka
Pavel Izmailov
Researcher at Anthropic and professor at NYU
Anthropic/NYU
Episode: The Evaluators Are Being Evaluated — Pavel Izmailov (Anthropic/NYU)

Host

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

Reviews

5.0 out of 5 stars from 86 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 States4 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 Statesa year 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 States2 years ago

Listeners Say

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

High-quality interviews with genuine researchers, succinctly discussed at an approachable level.
A must-follow weekly set of analyses on tech & AI developments.
Thoughtful, approachable AI conversations with top researchers and practitioners.

Chart Rankings

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

Apple Podcasts
#69
Ukraine/Technology
Apple Podcasts
#76
Singapore/Technology
Apple Podcasts
#87
New Zealand/Technology
Apple Podcasts
#160
Norway/Technology
Apple Podcasts
#211
Brazil/Technology
Apple Podcasts
#241
Finland/Technology

Talking Points

Recent interactions between the hosts and their guests.

AI That Can Prove It’s Right: Verification as the Missing Layer in AI — Carina Hong
Q: What does a typical Putnam test look like for your system, and how did Axiom Prover perform?
Putnam consists of 12 hard problems with six hours total; Axiom Prover achieved a perfect score, using a combination of models, deterministic tooling, and extensive data to verify proofs end-to-end without human input.
AI That Can Prove It’s Right: Verification as the Missing Layer in AI — Carina Hong
Q: How does the conjecture generation work? Is it LLM-based or non-LLM?
Conjecturing is under development; they rely on a mix of ensemble models, deterministic tools, and a large proprietary data set. There is post-training on open-source LLMs, but the conjecture step itself is being actively developed and not solely LLM-driven.
AI That Can Prove It’s Right: Verification as the Missing Layer in AI — Carina Hong
Q: So you mentioned there were three components. What is the architecture? What do those components do?
The architecture comprises a contractor, a prover, and a knowledge base. The conjecture guides navigation; the prover attempts to establish new, uncharted results; and the knowledge base stores validated information, with auto formalization connecting informal reasoning to formal proofs.
Intelligence Isn’t Enough: Why Energy & Compute Decide the AGI Race – Eiso Kant
Q: How does owning physical infrastructure affect the economics of AI?
Helping manage compute and energy costs, owning physical infrastructure allows for a more sustainable and advantageous operation model, compressing margins and thereby making it possible to serve clients at a lower cost.
Intelligence Isn’t Enough: Why Energy & Compute Decide the AGI Race – Eiso Kant
Q: What is Project Horizon?
Project Horizon is Poolside's initiative to build one of the largest data center complexes in the United States, enabling scale in compute and energy to further the development of AI.

Audience Metrics

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Frequently Asked Questions About The MAD Podcast

What is The MAD Podcast about and what kind of topics does it cover?

The show consistently focuses on cutting-edge AI, machine learning, and data infrastructure through in-depth conversations with researchers, founders, and top practitioners. Episodes often center on AI alignment and safety, large language models, infrastructure, and enterprise adoption, with occasional forays into geopolitical and economic implications of AI. A notable edge is the mix of technical rigor with practical industry perspectives, featuring voices from leading labs, startups, and investment firms. This makes it especially valuable for listeners wanting hands-on insights into how AI is evolving in science, engineering, and business—and for potential guests aiming to reach decision-makers in tech and AI investing.

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1. No Priors: Artificial Intelligence | Technology | Startups
2. Training Data
3. Cheeky Pint
4. The a16z Show
5. Uncapped with Jack Altman

How many episodes of The MAD Podcast are there?

The MAD Podcast launched 3 years ago and published 115 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?

Recent guests on The MAD Podcast include:

1. Felix Rieseberg
2. Mostafa Dehghani
3. Harrison Chase
4. Carina Hong
5. Neil Zeghidour
6. Timothée Lacroix
7. Dylan Patel
8. Sebastian Raschka

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