
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 | Twice weekly | Episodes | 105 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | TechnologyBusiness | |||

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
Factory started building fully autonomous coding agents in April 2023, two years before enterprises were ready. Matan Grinberg now says this is indistinguishable from being wrong. The Factory co-founder and CEO explains how the company survived its "... more
Katelyn Lesse and Angela Jiang lead the team building Anthropic's developer platform - the layer that both outside builders and Anthropic's own products run on top of. Angela frames the platform as a three-layer stack: knowledge, execution, and coord... 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 | #42 | |
Apple Podcasts | #99 | |
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Apple Podcasts | #124 | |
Apple Podcasts | #171 | |
Apple Podcasts | #91 |
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A technologically oriented show that probes how AI is built, deployed, and governed, with a strong focus on engineering, infrastructure, and product strategy. Recent conversations_CENTER on end-to-end training pipelines for advanced agents, production-grade deployment across distributed systems, AI-native enterprises, and the evolving role of AI assistants in software, music, and biotech. Notable threads include scaling GPUs for real-time feedback, multi-agent workflows, and the tension between model size, data, and compute, all anchored by pragmatic lessons from industry practitioners and researchers. The show often pairs founders, researchers, and senior operators to extract practical takeaways for listeners evaluating AI projects, vendor... more
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Training Data launched 2 years ago and published 105 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. Matan Grinberg
2. Katelyn Lesse
3. Angela Jiang
4. Dan Biderman
5. Jessy Lin
6. Joon Sung Park
7. Logan Kilpatrick
8. Jensen Huang
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