
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 adv... more
| Publishes | Weekly | Episodes | 107 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyBusiness | |||

Parag Agrawal is making a bet that goes against two decades of web search: agents will query the web a thousand times more than humans ever have, and the infrastructure built around human clicks is wrong for them. The former Twitter CEO, now founder ... more
Rich Sutton, who helped pioneer reinforcement learning and wrote the seminal AI essay The Bitter Lesson, has now cofounded Oak Lab with his former student Khurram Javed. Their goal: to build agents that continuously learn from their own experience ra... more
Most people treat biology as a bespoke, messy science. Josh Meier and Matt McPartlon, co-founders of Chai Discovery, treat it as an engineering problem. They make the case that drug design obeys the bitter lesson: scale data, models, and compute, and... more
Jerry Tworek led reasoning at OpenAI, convinced that scaling reinforcement learning was the path to AGI. Rohan Anil co-led Gemini pre-training and built the Shampoo optimizer. Now they've teamed up at Core Automation on a contrarian premise: the tran... more
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Nice speakers
domain ignorance.Physicians overriding concern in private setting is repetitiveness of practice and in enterprise setting is how to address RVU’s not edge cases. It is like putting cart in front of horse
Great hosts and really great in the weeds convos here
The first episode is essentially just Harrison Chase laying out “why agents” for an hour, in the best way possible. If his episode is any indication of what’s to come, this is going to be one of the best sources for a foundational understanding of what’s going on in the space.
Pat Grady and Sonya Huang are incredibly insightful and some of the sharpest investors of our generation!
Key themes from listener reviews, highlighting what works and what could be improved about the show.
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Spotify | #8 | |
Apple Podcasts | #110 | |
Apple Podcasts | #170 | |
Apple Podcasts | #250 | |
Apple Podcasts | #166 | |
Apple Podcasts | #182 |
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This program spotlights the latest in AI technology, research, and enterprise adoption through long-form conversations with founders, researchers, and senior practitioners. Episodes frequently explore agentic and autonomous AI, scalable infrastructure, memory and continual learning, and practical deployment challenges in biotech, robotics, and enterprise software. Listeners can expect deep dives into system design, safety, and business implications, with a notable emphasis on open ecosystems, modular platforms, and the tension between cutting-edge innovation and real-world production constraints. A standout pattern is the mix of technical rigor and pragmatic storytelling from leaders at top research labs, startups, and major tech companies,... more
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Training Data launched 2 years ago and published 107 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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Recent guests on Training Data include:
1. Jerry Tworek
2. Rohan Anil
3. Matan Grinberg
4. Katelyn Lesse
5. Angela Jiang
6. Dan Biderman
7. Jessy Lin
8. Joon Sung Park
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