
Unsupervised Learning
Ep 44: Co-Founder of Together.AI Percy Liang on What’s Next in Research, Reaction to o1 and How AI will Change Simulation
Oct 3, 2024
Percy Liang, a Stanford professor and co-founder of Together AI, dives into the fascinating evolution of AI from simple token prediction to complex autonomous agents. He discusses the challenges of AI safety and interpretability, emphasizing a holistic approach to mitigating risks. The conversation also touches on generative agents in simulations, their potential in social dynamics, and the importance of evaluating AI systems with new methodologies. Plus, Liang shares insights into AI's future role in fields ranging from education to music, showcasing the technology's transformative power.
01:06:20
Episode guests
AI Summary
Highlights
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- Percy Liang highlights the shift in AI research towards creating generative agents that mirror human interactions in simulated environments.
- The critique of OpenAI's O1 model indicates a broader movement towards AI capabilities focused on complex problem-solving and long-term reasoning.
Deep dives
Innovative AI Projects
Percy Liang discusses his work on generative agents, which involves creating AI characters that interact within a simulated world similar to The Sims. This environment allows researchers to explore complex social dynamics and provides insights into emergent behaviors among agents. The goal is to understand how these agents can mimic human interactions and societal structures, enhancing the potential for simulations to reflect real-world scenarios. This project highlights a shift in AI research towards creating believable simulations that can inform policy and social studies.