
How Ricursive Intelligence’s Founders are Using AI to Shape The Future of Chip Design
From Training Data by Sequoia Capital
January 14, 2026 · 37 min
About this episode
The episode discusses how the founders of Ricursive Intelligence are revolutionizing chip design using AI.
Anna Goldie and Azalia Mirhoseini created AlphaChip at Google, using AI to design four generations of TPUs and reducing chip floor planning from months to hours. They explain how chip design has become the critical bottleneck for AI progress -- a process that typically takes years and costs hundreds of millions of dollars. Now at Ricursive Intelligence, they're enabling an evolution of the industry from “fabless” to "designless," where any company can create custom silicon with Ricursive Intelligence. Their vision: recursive self-improvement where AI designs more powerful chips, and faster, accelerating AI itself. Hosted by Stephanie Zhan and Sonya Huang
People in this episode
Hosts: Stephanie Zhan, Sonya Huang
Guests: Anna Goldie, Azalia Mirhoseini
Topics covered
- AI
- chip design
- technology evolution
- custom silicon
- recursive self-improvement
Keywords
- AI
- chip design
- TPUs
- custom silicon
- recursive self-improvement
- technology
- business
Mentioned in this episode
Organizations: Google, Ricursive Intelligence
More episodes of Training Data
- Google DeepMind's Logan Kilpatrick: Why the Model Eats the Harness · June 11, 2026 · 51 min
- LIVE: Jensen Huang on Building the Dynamo of the Intelligence Age · June 10, 2026 · 41 min
- Knowing What Your Customers Want, All the Time: Listen Labs' Alfred Wahlforss · June 2, 2026 · 42 min
- How Cursor Trained Composer on Fireworks: Distributed Infrastructure for High-Performance RL · May 26, 2026 · 46 min
- Rebuilding IT From the Ground Up for the AI Age: Serval's Jake Stauch · May 19, 2026 · 38 min
- Suno's Mikey Shulman: Everyone Can Make Music Now · May 13, 2026 · 35 min
Explore listener stats, chart rankings, contacts and more on the Training Data podcast page.