Emergent Behavior

World Builder with Michael Lingelbach, Hedra

June 20, 2024·58 min
Episode Description from the Publisher

In this episode of Emergent Behavior, @8teapi talks with Hedra co-founder Michael Lingelbach. Listen as he shares his vision for a future of AI-powered storytelling, where creators can seamlessly blend real and generated content to bring their unique visions to life. Hedra believes that AI can empower storytellers of all levels, enabling them to create professional-quality video content without needing extensive technical expertise. Explore the democratization of video production with accessible AI tools and discover Hedra's vision for an AI-powered future where anyone can create compelling video content. 🔥 Apply to join over 400 founders and Execs in the Turpentine Network: https://hmplogxqz0y.typeform.com/to/JCkphVqj – RECOMMENDED PODCAST: Check out Modern Relationships, where Erik Torenberg interviews tech power couples and leading thinkers to explore how ambitious people actually make partnerships work. Founders Fund's Delian Asparouhov and researcher Nadia Asparouhova kick off the series with an unfiltered conversation about their relationship evolution. Apple: https://podcasts.apple.com/us/podcast/id1786227593 Spotify: https://open.spotify.com/show/5hJzs0gDg6lRT6r10mdpVg YouTube: https://www.youtube.com/@ModernRelationshipsPod -- FOLLOW ON X: @8teAPi (Ate) @mjlbach (Michael) @TurpentineMedia -- LINKS: Michael Lingelbach: https://mlingelbach.com/ Hedra: https://www.hedra.com/ -- TIMESTAMPS: (00:00) Introduction (02:29) Hedra: A Multimodal Foundation Model (03:45) Diffusion Models and Controllability (05:49) Audio as a Control Signal (07:58) Talking Head Features and Performance (11:41) Democratizing Storytelling (14:13) Background and Inspiration (17:17) Character One: First Release (19:07) Technology and Development (27:54) Challenges and Future Directions (38:00) Model Scaling and User Feedback (41:01) Technical Details and Uncanny Valley (49:00) Social Media and Collaboration (54:00) Multi-view Input and the Future (57:21) Conclusion

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