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.
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Show Notes
Named 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 paper
Timestamps
* [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 AI
Transcript & Full Show Notes: https://www.interconnects.ai/p/interviewing-andrew-carr
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