The Next Evolution of AI: Markets, Uncertainty, and Engineering Intelligence at Scale

Michael Jordan (UC Berkeley) on the future of machine learning as it extends to a planetary scale in "The Next Evolution of AI: Markets, Uncertainty, and Engineering Intelligence at Scale." In this episode, Mike speaks with Hugo about the evolution of AI, the importance of integrating machine learning, computer science, and economics, and how AI can scale to address planetary-level challenges. You can find more on our website: https://high-signal.delphina.ai/ 00:00 Introduction to High Signal 00:17 The Evolution of AI with Michael Jordan 00:37 The Future of AI: Combining Fields 00:55 Challenges in AI: Uncertainty and Real-World Impact 01:22 Personal Stories and Broader Impacts 01:34 Clip: The Evolution of AI 02:09 The Intersection of Fields: Machine Learning, Economics, and Computer Science 04:45 Introducing the Delphina Team 08:05 Interview with Michael Jordan Begins 08:45 Historical Perspectives on AI 10:48 Intelligence Augmentation vs. Artificial Intelligence 12:18 Supply Chains and Machine Learning 13:39 The Role of Data in AI 21:28 The Importance of Provenance in AI Predictions 24:42 The Wisdom of Crowds and AI 33:49 Generative AI and Its Applications 38:02 Monte Carlo Experiment and Error Bars 38:36 AlphaFold's Limitations 39:32 Improving Prediction Accuracy 41:07 Self-Driving Cars and Error Bars 43:54 United Masters: A Three-Sided Market 50:18 Statistical Contract Theory 53:38 Uncertainty in Decision Making 01:09:25 The Future of Intelligent Systems