Percy Liang is a Stanford professor and co-founder of Together AI, driving some of the most critical advances in AI research. Percy is also a trained classical pianist, which clearly influences the way he thinks about technology. We explored the evolution of AI from simple token prediction to autonomous agents capable of long-term problem-solving, the problem of interpretability, and the future of AI safety in complex, real-world systems.
0:00 Intro
0:40 Percy Liang's Insights on AI Models
3:20 Challenges and Innovations in AI Benchmarks
9:59 The Role of Academia in AI Research
15:09 AI Safety and Regulatory Perspectives
22:09 Exploring Generative Agents and Simulations
32:38 Exploring Evaluation Methods
34:22 Vertical-Specific Benchmarks
35:43 Challenges in Interpretability
39:50 The Future of Model Architectures
43:45 Inference Market Innovations
50:10 Robotics and AI: The Next Frontier
52:51 AI in Music: A New Era
56:18 AI as Educators and Coaches
56:57 Quickfire
59:42 Jacob and Pat Debrief
