The MAD Podcast with Matt Turck

Matt Turck
community@firstmark.com

Booking Overview

This is a founder- and investor-oriented AI/ML deep-dive hosted by Matt Turck, featuring leaders and researchers who are shaping the frontier and the next wave of AI products. If you can credibly discuss model capabilities, product defensibility, and how AI systems work under the hood, this show is a strong fit for PR outreach.

Metrics

114 episodes, Irregular, 5.0 rating
<1k, Male, USA
YouTube: 25.1k subscribers
30s Ad: 15 - 19, 60s Ad: 18 - 22, CPM Category: Technology

Contact Information

community@firstmark.com

Description

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.

Production Team

Host

Matt Turck

Categories

Technology, Business, Entrepreneurship, Science, Tech News

Booking Intelligence

Booking Requirements

high
Typical Credentials:  
Frontier AI/ML researchers, senior engineers/product leaders at major AI labs, and prominent independent analysts with deep technical-market insight.
Required Achievements:  
Led engineering for notable AI agent/product capabilities (e.g., agent platforms, copilots with local tool access), Authored or contributed to widely cited model architectures or training paradigms (e.g., transformer variants, universal transformer work), Public-facing influence through analysis, commentary, or recognized expertise in AI and software economics

Recent Guest Discussions

Felix Rieseberg - Agentic AI Product Engineering, Claude Cowork Architecture (skills/memory/trust), Local Computer Access, And AI UX For Enterprise Readiness, Mostafa Dehghani - AI Self-improvement Loops, Evaluation/formal Verification Bottlenecks, Post-training/continual Learning, And Multimodality/model Mechanics, Benedict Evans - Foundation Model Defensibility/moats, AI Usage Vs UX, And The Shifting Software Landscape For Enterprises And Founders

Recent Topics

Machine Learning, Artificial Intelligence, Ai Research, Foundation Models, Agents, Multimodality, Data Infrastructure, Ai Product Design, Ai Safety, Enterprise Ai
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