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.
This podcast features an interview with Nicole Brichtova and Hansa Srinivasan, the creators of Google's Nano Banana image model. They discuss the technical advancements that enabled single-image character consistency, emphasizing the importance of high-quality data, long multimodal context windows, and human evaluation...
In this episode of Training Data, Konstantine Buhler and Sonya Huang from Sequoia Capital interview Bill Peebles, Thomas Dimson, and Rohan Sahai, the team behind OpenAI's Sora. The discussion covers the technical aspects of Sora, including diffusion transformers, space-time tokens, and the development of internal world...
In this interview, Michael Kagan, CTO of Nvidia, discusses the critical role of Mellanox's interconnect technology, acquired by Nvidia in 2019, in driving Nvidia's dominance in AI computing. Kagan explains how the exponential growth in computing needs, especially with the rise of AI, necessitates scaling performance be...
In this episode of the "Training Data" podcast, Dean Meyer interviews Dan Lahav, founder of Irregular, about the future of AI security. Dan discusses the shift in security focus needed as AI models become autonomous economic actors, moving from traditional code vulnerabilities to unpredictable AI behaviors. He shares r...
In this episode of Training Data, host interviews Cresta CEO Ping Wu and Sequoia's Doug Leone to discuss the contact center industry and the impact of AI. Ping shares insights on the evolution of technology in call centers, the potential of LLMs to enhance customer experience, and Cresta's approach to blending human ag...
Block's CTO, Dhanji Prasanna, discusses the company's approach to AI, particularly the development and implementation of Goose, an open-source AI agent. Dhanji views AI as a transformative technology, comparing it to nuclear energy, with the potential for both good and bad. Block embraces AI to enhance its services, le...
In this episode of Training Data, Elias Torres, a seasoned entrepreneur, discusses his journey and insights into building companies, particularly in the age of AI. He shares his early life experiences in Nicaragua, his initial foray into technology, and his career milestones, including his work at IBM, HubSpot, and Dri...
In this interview, Thomas Wolf, co-founder and Chief Science Officer of Hugging Face, discusses the company's venture into robotics with the LeRobot project. He draws parallels between the current state of robotics and the earlier days of transformers and language models, emphasizing the potential for a large open-sour...
In this interview podcast, Ryan Daniels and John Sarihan, founders of Crosby, an AI-first law firm specializing in contract automation, discuss their decision to build a law firm instead of legal software. They highlight the importance of integrating domain experts with engineers for unique feedback loops and rapid inn...
In this interview, Jan Oberhauser, the founder and CEO of n8n, discusses n8n's evolution into an AI-powered application orchestration layer, which led to a quadrupling of revenue in eight months. Jan shares the company's strategic shift towards community adoption over lead generation, the importance of balancing free a...
In this episode of Training Data, Jon Noronha, founder of Gamma, discusses the company's journey and its success in leveraging AI to reinvent presentations. Noronha explains how Gamma evolved from a remote work solution to an AI-powered visual communication platform that addresses the "blank page problem" by generating...
In this episode of the podcast, Dara Ladjevardian, the founder of Delphi, discusses the concept of digital minds, AI representations that capture how people think and reason. Dara explains how Delphi creates digital versions of individuals using AI, allowing users to interact with these digital minds through conversati...
In this interview podcast, Guillermo Rauch, CEO of Vercel, discusses how AI is transforming software development, focusing on Vercel's text-to-app generator, V0, which is attracting a broad audience beyond developers. Rauch envisions a future of a generative web where applications are created on demand, potentially rep...
In this episode of Training Data, Alex Wei, Sheryl Hsu, and Noam Brown from OpenAI discuss their groundbreaking achievement of creating an AI model that attained a gold medal performance at the International Math Olympiad (IMO). They delve into the origins of the project, the team's composition, and the general-purpose...
In this interview podcast, Mati Staniszewski from ElevenLabs discusses how the company has maintained its competitive edge in the AI audio space despite the expansion of larger foundation model labs into voice technology. Mati shares the origin story of ElevenLabs, the technical differences between voice AI and text AI...
In this episode of Training Data, Bob McGrew, former Chief Research Officer at OpenAI, discusses the current state and future of AI development, focusing on the trifecta of pre-training, post-training, and reasoning. McGrew suggests that 2025 will be the year of reasoning, highlighting its potential for significant adv...
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