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"The trillion-dollar AI opportunity starts with fixing how models are built." Inside the AI transformation of portfolio theory with Peter Cotton, CSO at CrunchDAO & author of Microprediction. We explore how Crunch helps data scientists monetize models via secure enclaves without giving up ownership. Peter exposes flaws in modern portfolio theory and introduces Sure Allocation, blending AI with risk management. Crunch’s network is building the future of decentralized finance, with real-world use cases in finance and biotech. AI is changing the way institutions think about forecasting, risk, and model deployment. 00:00 Opening and Crunch Intro 02:30 Why Crunch is Different 05:34 AI’s Role in Financial Services 08:24 Peter Cotton Joins the Session 11:04 The Optimization Problem in Finance 17:07 Why Practitioners Avoid Optimizers 23:15 Hierarchical Risk Parity Explained 28:37 The Sure Allocation Approach 39:39 The Hidden Link Between Top-Down and Bottom-Up 43:52 Peter’s M6 Competition Strategy 48:42 Future of Portfolio Theory 54:47 Final Audience Q&A 01:03:25 How to Join Crunch Follow Crunch on X - https://x.com/crunchDAO Follow Jean Herelle on X - https://x.com/herelle_jean Follow Peter Cotton on X - https://x.com/monteprediction Build Predictions Through Machine Learning - https://www.crunchdao.com/