Training Data

Episodes

• European Defense Sovereignty Starts in the Factory: Stark’s Uwe Horstmann and Johannes Schaback

  Oct 28, 2026

  Not summarized yet

• Inside the Robot Data Factory: Mecka's Josh Gao on Sensorizing Humans to Train Robots

  Oct 20, 2026

  Robotics lacks the free, clean internet corpus that accelerated language models, so Mecka builds the hardware, contributor network, processing pipeline, and quality gates needed to manufacture physical-world training data.

• David Silver and Lasse Espeholt of Ineffable Intelligence: A Superlearner for the Age of Experience

  Oct 13, 2026

  Not summarized yet

• Google's AI Infrastructure Chief, Amin Vahdat, on the Physics & Economics of Frontier AI

  Oct 6, 2026

  For frontier AI infrastructure, workload-level goodput—including failure recovery and useful completion time—is more meaningful than theoretical FLOPS.

• Box's Aaron Levie: On Reinventing Yourself in the AI Age and Enterprise Diffusion

  Sep 15, 2026

  The main AI opportunity is the application layer that connects model capability to specific enterprise workflows, data systems, permissions, legacy software, and human review.

• Making Cities Awesome: Peregrine’s Nick Noone & Ben Rudolph

  Sep 1, 2026

  Not summarized yet

• Parallel’s Parag Agrawal: Building a New Web for AI Agents

  Aug 25, 2026

  Parallel believes agent search should rely on agent-generated feedback rather than human click data, which Agrawal calls a bug for this new customer.

• Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again

  Aug 18, 2026

  All learning is inherently continual; it's not a separate phase.

• Chai Discovery's Bitter Lesson: Drug Design Is Another Scaling Problem

  Aug 4, 2026

  Simplification and focusing on core principles are vital for effective model scaling in complex biological systems.

• Building the Automated AGI Lab: Core Automation's Jerry Tworek and Rohan Anil

  Jul 29, 2026

  Transformers have powered recent AI advances but are reaching their fundamental limits, especially in continual, test-time learning.

• Factory's Matan Grinberg: The Coming ‘Dark Factory’ Where Software Builds Itself

  Jul 21, 2026

  Not summarized yet

• Anthropic's Katelyn Lesse & Angela Jiang: Building an Ecosystem, not a Walled Garden

  Jul 14, 2026

  Not summarized yet

• Inside Zipline's Autonomous System: 140M Miles, Zero Incidents

  Jul 7, 2026

  Not summarized yet

• Why Hardware-Software Co-Design Is AI's Real 100x: Dylan Patel of SemiAnalysis

  Jun 30, 2026

  Not summarized yet

• Memory and Continual Learning: Engram's Dan Biderman and Jessy Lin

  Jun 24, 2026

  Not summarized yet

• Simulating Humans at Scale: Simile's Joon Sung Park

  Jun 16, 2026

  Not summarized yet

• Google DeepMind's Logan Kilpatrick: Why the Model Eats the Harness

  Jun 11, 2026

  Not summarized yet

• LIVE: Jensen Huang on Building the Dynamo of the Intelligence Age

  Jun 10, 2026

  Not summarized yet

• Knowing What Your Customers Want, All the Time: Listen Labs' Alfred Wahlforss

  Jun 2, 2026

  Not summarized yet

• How Cursor Trained Composer on Fireworks: Distributed Infrastructure for High-Performance RL

  May 26, 2026

  Not summarized yet