

Ep 44: Co-Founder of Together.AI Percy Liang on What’s Next in Research, Reaction to o1 and How AI will Change Simulation
16 snips 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.
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O1 Model Signals New AI Agent Era
- O1 model signals a shift to AI agents capable of solving long-term, ambitious tasks.
- AI agents can learn and improve by gaining experience and feedback within a larger task.
Benchmark Scores Don't Tell Full Story
- Benchmark scores alone don't capture model compatibility and integration issues.
- New models may require adjustment of frameworks and scaffolding to realize their benefits.
Question Existing AI Scaffolding
- Don't be attached to current AI scaffolding; ask if it will remain useful with new models.
- Expect a paradigm shift as reasoning and scaffolding move inside future model architectures.