{"podcast":{"title":"Training Data","slug":"training-data","podcast_index_feed_id":null,"rss_url":"https://feeds.megaphone.fm/trainingdata","website_url":"https://www.sequoiacap.com/","image_url":"https://megaphone.imgix.net/podcasts/8ca8a61c-08b4-11ef-97ab-9fe273d59030/image/4a16fd33b06708003827556209cd42b7.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress","author":"Sequoia Capital","episode_count":104,"summary":"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.","last_synced_at":"2026-08-02T15:06:49.231983+00:00","page_url":"https://stenobird.com/podcast/training-data"},"episode":{"title":"The Rise of Generative Media: fal's Bet on Video, Infrastructure, and Speed","slug":"the-rise-of-generative-media-fal-s-bet-on-video-infrastructure-and-speed","published_at":"2025-12-10T10:00:00+00:00","page_url":"https://stenobird.com/podcast/training-data/the-rise-of-generative-media-fal-s-bet-on-video-infrastructure-and-speed","show_page_url":"https://stenobird.com/podcast/training-data","url":"https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI6713513341.mp3","audio_url":"https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI6713513341.mp3","summary":"fal is building the infrastructure layer for the generative media boom. In this episode, founders Gorkem Yurtseven, Burkay Gur, and Head of Engineering Batuhan Taskaya explain why video models present a completely different optimization problem than LLMs, one that is compute-bound, architecturally volatile, and changing every 30 days. They discuss how fal's tracing compiler, custom kernels, and globally distributed GPU fleet enable them to run more than 600 image and video models simultaneously, often faster than the labs that trained them. The team also shares what they’re seeing from the demand side: AI-native studios, personalized education, programmatic advertising, and early engagement from Hollywood. They argue that generative video is following a trajectory similar to early CGI—initial skepticism giving way to a new medium with its own workflows, aesthetics, and economic models.Hosted by Sonya Huang, Sequoia Capital","meta_description":"fal is building the infrastructure layer for the generative media boom. In this episode, founders Gorkem Yurtseven, Burkay Gur, and Head of Engineering Ba…","key_points":[],"chapters":[],"topics":[],"duration_seconds":3738,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/training-data/episodes/the-rise-of-generative-media-fal-s-bet-on-video-infrastructure-and-speed/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/training-data/the-rise-of-generative-media-fal-s-bet-on-video-infrastructure-and-speed.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}