{"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":"Building the GitHub for RL Environments: Prime Intellect's Will Brown & Johannes Hagemann","slug":"building-the-github-for-rl-environments-prime-intellect-s-will-brown-johannes-hagemann","published_at":"2026-02-10T07:00:00+00:00","page_url":"https://stenobird.com/podcast/training-data/building-the-github-for-rl-environments-prime-intellect-s-will-brown-johannes-hagemann","show_page_url":"https://stenobird.com/podcast/training-data","url":"https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI8352076279.mp3","audio_url":"https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI8352076279.mp3","summary":"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","meta_description":"Will Brown and Johannes Hagemann of Prime Intellect discuss the shift from static prompting to \"environment-based\" AI development, and their Environments…","key_points":[],"chapters":[],"topics":[],"duration_seconds":2685,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/training-data/episodes/building-the-github-for-rl-environments-prime-intellect-s-will-brown-johannes-hagemann/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/training-data/building-the-github-for-rl-environments-prime-intellect-s-will-brown-johannes-hagemann.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}