Host Boz talks to Meta's VP of AI Research Joelle Pineau and Chief AI Scientist Yann LeCun about FAIR, Meta's Fundamental AI Research Lab, and the importance of open research and collaboration. They discuss the limitations of current AI systems, theory of mind and world models in AI research, the concept of consciousness, and their online presence on different social media platforms.

Joelle Pineau, VP of AI Research at Meta and professor at McGill, discusses AI projects, open research principles, and risks in advanced AI models. She explores challenges in optimizing ML models, the evolution of image processing technologies, and AI accelerating scientific discovery in areas like carbon capture and vaccine development.

Joelle Pineau, head of Meta's AI Research division, delves into the company's ambitious goal of creating Artificial General Intelligence. She discusses the shift in AI narrative towards practical applications and the critical importance of data quality. Pineau highlights Meta's integration of AI in products like smart glasses and the challenges of developing realistic video generation technology. She also explores the role of NVIDIA's GPUs in driving AI advancements and the ethical considerations of open-sourcing AI models while ensuring safety and performance.