# Building the "App Store" for Robots: Hugging Face's Thomas Wolf on Physical AI Page: https://stenobird.com/podcast/training-data/building-the-app-store-for-robots-hugging-face-s-thomas-wolf-on-physical-ai Text version: https://stenobird.com/podcast/training-data/building-the-app-store-for-robots-hugging-face-s-thomas-wolf-on-physical-ai.md Podcast: [Training Data](https://stenobird.com/podcast/training-data) Published: 2025-09-09T09:00:00+00:00 Episode link: https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI5891850195.mp3 Audio file: https://pscrb.fm/rss/p/traffic.megaphone.fm/CPUAI5891850195.mp3 Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/training-data/episodes/building-the-app-store-for-robots-hugging-face-s-thomas-wolf-on-physical-ai Duration seconds: 2588 ## Resource Thomas Wolf, co-founder and Chief Science Officer of Hugging Face, explains how his company is applying the same community-driven approach that made transformers accessible to everyone to the emerging field of robotics. Thomas discusses LeRobot, Hugging Face's ambitious project to democratize robotics through open-source tools, datasets, and affordable hardware. He shares his vision for turning millions of software developers into roboticists, the challenges of data scarcity in robotics versus language models, and why he believes we're at the same inflection point for physical AI that we were for LLMs just a few years ago. Hosted by: Sonya Huang and Pat Grady, Sequoia Capital ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/training-data/episodes/building-the-app-store-for-robots-hugging-face-s-thomas-wolf-on-physical-ai/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/training-data/building-the-app-store-for-robots-hugging-face-s-thomas-wolf-on-physical-ai.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.