• Interviewing Andrew Carr of Cartwheel on the State of Generative AI

  • 2024/10/31
  • 再生時間： 54 分
  • ポッドキャスト

Interviewing Andrew Carr of Cartwheel on the State of Generative AI

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  • Andrew Carr is co-founder and chief scientist at Cartwheel, where he is building text-to-motion AI models and products for gaming, film, and other creative endeavors. We discuss how to keep generative AI fun and expansive — niche powerful use-cases, AI poetry, AI devices like Meta RayBans, generalization to new domains like robotics, and building successful AI research cultures.Andrew is one of my well read friends on the directions AI is going, so it is great to bring him in for an official conversation. He spent time at OpenAI working on Codex, Gretel AI, and is an editor for the TLDR AI Newsletter.Listen on Apple Podcasts, Spotify, YouTube, and where ever you get your podcasts. For other Interconnects interviews, go here.Show NotesNamed entities and papers mentioned in the podcast transcript:* Codex and GitHub Copilot* Gretel AI* TLDR AI Newsletter* Claude Computer Use* Blender 3D simulator* Common Sense Machines* HuggingFace Simulate, Unity, Godot* Runway ML* Mark Chen, OpenAI Frontiers Team Lead* Meta’s Lingua, Spirit LM, torchtitan and torchchat* Self-Rewarding Language Models paper* Meta Movie Gen paperTimestamps* [00:00] Introduction to Andrew and Cartwheel* [07:00] Differences between Cartwheel and robotic foundation models* [13:33] Claude computer use* [18:45] Supervision and creativity in AI-generated content* [23:26] Adept AI and challenges in building AI agents* [30:56] Successful AI research culture at OpenAI and elsewhere* [38:00] Keeping up with AI research* [44:36] Meta Ray-Ban smart glasses and AI assistants* [51:17] Meta's strategy with Llama and open source AITranscript & Full Show Notes: https://www.interconnects.ai/p/interviewing-andrew-carr Get full access to Interconnects at www.interconnects.ai/subscribe
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Andrew Carr is co-founder and chief scientist at Cartwheel, where he is building text-to-motion AI models and products for gaming, film, and other creative endeavors. We discuss how to keep generative AI fun and expansive — niche powerful use-cases, AI poetry, AI devices like Meta RayBans, generalization to new domains like robotics, and building successful AI research cultures.Andrew is one of my well read friends on the directions AI is going, so it is great to bring him in for an official conversation. He spent time at OpenAI working on Codex, Gretel AI, and is an editor for the TLDR AI Newsletter.Listen on Apple Podcasts, Spotify, YouTube, and where ever you get your podcasts. For other Interconnects interviews, go here.Show NotesNamed entities and papers mentioned in the podcast transcript:* Codex and GitHub Copilot* Gretel AI* TLDR AI Newsletter* Claude Computer Use* Blender 3D simulator* Common Sense Machines* HuggingFace Simulate, Unity, Godot* Runway ML* Mark Chen, OpenAI Frontiers Team Lead* Meta’s Lingua, Spirit LM, torchtitan and torchchat* Self-Rewarding Language Models paper* Meta Movie Gen paperTimestamps* [00:00] Introduction to Andrew and Cartwheel* [07:00] Differences between Cartwheel and robotic foundation models* [13:33] Claude computer use* [18:45] Supervision and creativity in AI-generated content* [23:26] Adept AI and challenges in building AI agents* [30:56] Successful AI research culture at OpenAI and elsewhere* [38:00] Keeping up with AI research* [44:36] Meta Ray-Ban smart glasses and AI assistants* [51:17] Meta's strategy with Llama and open source AITranscript & Full Show Notes: https://www.interconnects.ai/p/interviewing-andrew-carr Get full access to Interconnects at www.interconnects.ai/subscribe
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