About this episode
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[0:46] Discussing OpenAI's O1 Model [2:21] The Evolution of AI Agents [3:27] Challenges and Benchmarks in AI [4:38] Compatibility and Integration Issues [6:17] The Future of AI Scaffolding [10:05] Academia's Role in AI Research [15:17] AI Safety and Holistic Approaches [18:32] Regulation and Transparency in AI [21:42] Generative Agents and Social Simulations [29:14] The State of AI Evaluations [32:07] Exploring Evaluation in Language Models [35:13] The Challenge of Interpretability [39:31] Innovations in Model Architectures [43:18] The Future of Inference and Customization [46:46] Milestones in AI Research and Reasoning [49:43] Robotics and AI: The Road Ahead [52:24] AI in Music: A Harmonious Future [55:52] AI's Role in Education and Beyond [56:30] Quickfire[59:16] Jacob and Pat Debrief With your co-hosts: @jacobeffron - Partner at Redpoint, Former PM Flatiron Health @patrickachase - Partner at Redpoint, Former ML Engineer LinkedIn @ericabrescia - Former COO Github, Founder Bitnami (acq’d by VMWare) @jordan_segall - Partner at Redpoint
