{"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":"From Data Centers to Dyson Spheres: P-1 AI's Path to Hardware Engineering AGI","slug":"from-data-centers-to-dyson-spheres-p-1-ai-s-path-to-hardware-engineering-agi","published_at":"2025-05-27T09:00:00+00:00","page_url":"https://stenobird.com/podcast/training-data/from-data-centers-to-dyson-spheres-p-1-ai-s-path-to-hardware-engineering-agi","show_page_url":"https://stenobird.com/podcast/training-data","url":"https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI1894390805.mp3?updated=1747938856","audio_url":"https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI1894390805.mp3?updated=1747938856","summary":"Former Airbus CTO Paul Eremenko shares his vision for bringing AI to physical engineering, starting with Archie—an AI agent that works alongside human engineers. P-1 AI is tackling the challenge of generating synthetic training data to teach AI systems about complex physical systems, from data center cooling to aircraft design and beyond. Eremenko explains how Archie breaks down engineering tasks into primitive operations and uses a federated approach combining multiple AI models. The goal is to progress from entry-level engineering capabilities to eventually achieving engineering AGI that can design things humans cannot. Hosted by Sonya Huang and Pat Grady, Sequoia Capital","meta_description":"Former Airbus CTO Paul Eremenko shares his vision for bringing AI to physical engineering, starting with Archie—an AI agent that works alongside human eng…","key_points":[],"chapters":[],"topics":[],"duration_seconds":2305,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/training-data/episodes/from-data-centers-to-dyson-spheres-p-1-ai-s-path-to-hardware-engineering-agi/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/training-data/from-data-centers-to-dyson-spheres-p-1-ai-s-path-to-hardware-engineering-agi.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}