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Training Data

Training Data

Written by: Sequoia Capital
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About this listen

 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. Economics
Episodes
  • Building the GitHub for RL Environments: Prime Intellect's Will Brown & Johannes Hagemann

    Building the GitHub for RL Environments: Prime Intellect's Will Brown & Johannes Hagemann
    Feb 10 2026
    Will Brown and Johannes Hagemann of Prime Intellect discuss the shift from static prompting to "environment-based" AI development, and their Environments Hub, a platform designed to democratize frontier-level training. The conversation highlights a major shift: AI progress is moving toward Recursive Language Models that manage their own context and agentic RL that scales through trial and error. Will and Johannes describe their vision for the future in which every company will become an AI research lab. By leveraging institutional knowledge as training data, businesses can build models with decades of experience that far outperform generic, off-the-shelf systems.Hosted by Sonya Huang, Sequoia Capital
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    45 mins
  • What’s the Future of Vertical SaaS in an AGI World? Jamie Cuffe, CEO of Pace

    What’s the Future of Vertical SaaS in an AGI World? Jamie Cuffe, CEO of Pace
    Feb 3 2026
    Jamie Cuffe is solving one of AI's hardest problems: getting conservative, regulated industries to trust autonomous agents with mission-critical work. At Pace, he's building AI that replaces traditional BPOs in insurance, handling everything from email triage to claims processing with 50-75% cost savings. Drawing on his experience at Retool, Jamie emphasizes the importance of "closing the distance" with customers through forward-deployed engineering and being "the rock" that clients can rely on. He shares how focusing on top-tier insurance carriers and maintaining exceptionally high standards is enabling Pace to capture a meaningful share of the $400 billion BPO market while building a durable business model - at AI-native velocity. Hosted by Lauren Reeder and Pat Grady, Sequoia Capital
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    52 mins
  • Making the Case for the Terminal as AI's Workbench: Warp’s Zach Lloyd

    Making the Case for the Terminal as AI's Workbench: Warp’s Zach Lloyd
    Jan 27 2026
    Zach Lloyd built Warp to modernize the terminal for professional developers, but the rise of coding agents transformed his company's trajectory. He discusses the convergence of IDEs and terminals into new workbenches built for prompting and agent orchestration, and why he thinks "coding will be solved" within a few years, making human expression of intent the ultimate bottleneck. Zach explains how Warp competes against subsidized tools from Anthropic and OpenAI, and why the terminal's time-based, text-oriented format makes it perfect for managing swarms of cloud agents. Hosted by Sonya Huang, Sequoia Capital
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    48 mins
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