{"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":"Training General Robots for Any Task: Physical Intelligence’s Karol Hausman and Tobi Springenberg","slug":"training-general-robots-for-any-task-physical-intelligence-s-karol-hausman-and-tobi-springenberg","published_at":"2026-01-06T07:00:00+00:00","page_url":"https://stenobird.com/podcast/training-data/training-general-robots-for-any-task-physical-intelligence-s-karol-hausman-and-tobi-springenberg","show_page_url":"https://stenobird.com/podcast/training-data","url":"https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI2576277674.mp3","audio_url":"https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI2576277674.mp3","summary":"Physical Intelligence’s Karol Hausman and Tobi Springenberg believe that robotics has been held back not by hardware limitations, but by an intelligence bottleneck that foundation models can solve. Their end-to-end learning approach combines vision, language, and action into models like π0 and π*0.6, enabling robots to learn generalizable behaviors rather than task-specific programs. The team prioritizes real-world deployment and uses RL from experience to push beyond what imitation learning alone can achieve. Their philosophy—that a single general-purpose model can handle diverse physical tasks across different robot embodiments—represents a fundamental shift in how we think about building intelligent machines for the physical world. Hosted by Alfred Lin and Sonya Huang, Sequoia Capital","meta_description":"Physical Intelligence’s Karol Hausman and Tobi Springenberg believe that robotics has been held back not by hardware limitations, but by an intelligence b…","key_points":[],"chapters":[],"topics":[],"duration_seconds":3697,"processing_state":"not_requested","actions":[{"name":"request_transcript","method":"POST","url":"https://stenobird.com/v1/public/podcasts/training-data/episodes/training-general-robots-for-any-task-physical-intelligence-s-karol-hausman-and-tobi-springenberg/transcription-requests","description":"Idempotently request low-priority transcript generation for this episode."},{"name":"read_markdown","method":"GET","url":"https://stenobird.com/podcast/training-data/training-general-robots-for-any-task-physical-intelligence-s-karol-hausman-and-tobi-springenberg.md","description":"Read the agent-friendly Markdown representation of this episode resource."}]}}