The MAD Podcast

Matt Turck on data and AI infrastructure

Deep reads here3 / 134 episodes

Cadence~1 every 7.0 days

Latest2026-10-15

TopicsAI & Tech

PriorityT2

1:10:14

The MAD Podcast 0924

The Middle Layer of the AI Factory: Models Are Becoming a Resource That Has to Be Managed

The least glamorous layer of the five-layer cake is deciding who gets to sell AI to regulated enterprises — because neither the model weights nor the enterprise data want the other side to see them.

8 Points 8 Quotes AI infrastructurestorage

1:14:15

The MAD Podcast 0910

The bottleneck to AI self-improvement isn't compute, it's simulation and verification

Any domain that can be simulated, AI will eventually solve; any domain that can't be simulated, even the strongest model can only wait for experimental data. Richard Socher argues the path to recursive self-improvement is to first let AI research AI, then attack biology.

10 Points 5 Quotes AI for ScienceRecursive self-improvement

1:18:59

The MAD Podcast 0827

AI Takeover Isn't a 2029 Problem, It's a 2028 Problem

Ryan Greenblatt predicts AI R&D will be fully automated between 2028 and 2031, with progress doubling every 4-5 times per year, making takeover risk extreme; he proposes a US-China compute transparency agreement as a slowdown plan.

8 Points 4 Quotes AI risksuperintelligence prediction