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Training Data

Training Data

Sequoia Capital

114 episodesEN

Show overview

Training Data has been publishing since 2024, and across the 2 years since has built a catalogue of 114 episodes, alongside 4 trailers or bonus episodes. That works out to roughly 90 hours of audio in total. Releases follow a weekly cadence.

Episodes typically run thirty-five to sixty minutes — most land between 39 min and 55 min — and the run-time is fairly consistent across the catalogue. It is catalogued as a EN-language Technology show.

The show is actively publishing — the most recent episode landed 2 days ago, with 39 episodes already out so far this year. Published by Sequoia Capital.

Episodes
114
Running
2024–2026 · 2y
Median length
45 min
Cadence
Weekly

From the publisher

Join us as we train our neural nets on the theme of the century: AI. Sonya Huang, Pat Grady and more Sequoia Capital partners host conversations with leading AI builders and researchers to ask critical questions and develop a deeper understanding of the evolving technologies—and their implications for technology, business and society. The content of this podcast does not constitute investment advice, an offer to provide investment advisory services, or an offer to sell or solicitation of an offer to buy an interest in any investment fund.

Latest Episodes

View all 114 episodes

A Model For Everyone: How Ronak From Trajectory Is Building Products For Continual Learning

Nov 5, 202632 min

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

Oct 28, 202644 min

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

Oct 20, 202645 min

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

Oct 13, 20261h 8m

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

Oct 6, 20261h 4m

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

Sep 15, 20261h 5m

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

Sep 1, 202652 min

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

Aug 25, 202655 min

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

Aug 18, 202653 min

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

Aug 4, 202647 min

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

Jul 29, 202649 min

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

Jul 21, 202651 min

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

Jul 14, 202648 min

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

Jul 7, 202655 min

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

Jun 30, 20261h 10m

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

Jun 24, 202644 min

Simulating Humans at Scale: Simile's Joon Sung Park

Jun 16, 202638 min

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

Jun 11, 202651 min

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

Jun 10, 202641 min

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

Jun 2, 202642 min