

The Future of AI Research: With Guests Joelle Pineau and Yann LeCun
18 snips Dec 5, 2023
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.
AI Snips
Chapters
Transcript
Episode notes
Neural Networks' Revival
- Andrew Bosworth recounts learning neural networks in 2003 as a supposedly obsolete technology.
- He highlights AI's unpredictable progress, emphasizing how perspectives shift over time.
Open Research's Impact
- Open research accelerates AI progress through collaboration and idea sharing.
- Yann LeCun emphasizes its importance for attracting talent and ensuring quality research.
Unpredictable AI Progress
- AI progress is unpredictable, with breakthroughs occurring after periods of perceived slow advancement.
- These breakthroughs compound knowledge and experience within the AI community.