Training Data

A podcast by Sequoia Capital - Tuesdays

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16 Episodes

  1. Why Vlad Tenev and Tudor Achim of Harmonic Think AI Is About to Change Math—and Why It Matters

    Published: 9/24/2024
  2. Jim Fan on Nvidia’s Embodied AI Lab and Jensen Huang’s Prediction that All Robots will be Autonomous

    Published: 9/17/2024
  3. Founder Eric Steinberger on Magic’s Counterintuitive Approach to Pursuing AGI

    Published: 9/10/2024
  4. Crucible Moments Returns for S2: The ServiceNow Story ft. CEO Frank Slootman & Founder Fred Luddy

    Published: 9/3/2024
  5. Sierra Co-Founder Clay Bavor on Making Customer-Facing AI Agents Delightful

    Published: 8/27/2024
  6. Phaidra’s Jim Gao on Building the Fourth Industrial Revolution with Reinforcement Learning

    Published: 8/20/2024
  7. Fireworks Founder Lin Qiao on How Fast Inference and Small Models Will Benefit Businesses

    Published: 8/13/2024
  8. GitHub CEO Thomas Dohmke on Building Copilot, and the the Future of Software Development

    Published: 8/6/2024
  9. Meta’s Joe Spisak on Llama 3.1 405B and the Democratization of Frontier Models

    Published: 7/30/2024
  10. Klarna CEO Sebastian Siemiatkowski on Getting AI to Do the Work of 700 Customer Service Reps

    Published: 7/23/2024
  11. Reflection AI’s Misha Laskin on the AlphaGo Moment for LLMs

    Published: 7/16/2024
  12. Microsoft CTO Kevin Scott on How Far Scaling Laws Will Extend

    Published: 7/9/2024
  13. Zapier’s Mike Knoop launches ARC Prize to Jumpstart New Ideas for AGI

    Published: 7/2/2024
  14. Factory’s Matan Grinberg and Eno Reyes Unleash the Droids on Software Development

    Published: 6/25/2024
  15. LangChain’s Harrison Chase on Building the Orchestration Layer for AI Agents

    Published: 6/18/2024
  16. Introducing "Training Data"

    Published: 6/5/2024

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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.