Training Data is Sequoia Capital's AI podcast, hosted by Sonya Huang, Pat Grady and other Sequoia partners. It launched in June 2024, comes out roughly weekly, and episodes typically run 35-52 minutes.
Training Data is rated 4.2 out of 5 from 43 ratings on Apple Podcasts, as of October 2026.
Sequoia partners host conversations with leading AI builders and researchers about evolving AI technologies and their implications for business and society.
Recent guests include Andrej Karpathy, Demis Hassabis and Anthropic's Boris Cherny.
Our take: it fits founders, investors and operators interested in how top AI companies are being built. For more shows like it, see our best AI podcasts for founders list.
Episodes run under an hour, which makes the show easy to keep up with roughly weekly. The three 2026 episodes below feature Andrej Karpathy, Demis Hassabis and Boris Cherny.
Boris Cherny leads Claude Code; for what we have built with it, see our Claude Code page.
The latest episode in the public feed when we checked was dated September 15, 2026.
If you like Training Data, these shows are worth a listen:
Show details on this page come from the public listings and feeds below, checked on October 4, 2026.
Sequoia Capital partners Sonya Huang and Pat Grady, along with other Sequoia partners.
Yes. Training Data is produced by Sequoia Capital and launched in June 2024.
Typically about 35 to 52 minutes, released roughly weekly.
On Apple Podcasts and Spotify.
