Danny Halawi, a PhD student at UC Berkeley, shares insights into AI forecasting, focusing on large language models' role in making accurate predictions. He discusses the transition from computer security to predicting geopolitical events, revealing the architecture of his AI system that combines real-time data and machine learning. Halawi explores the complexities of judgmental vs. time series forecasting, the challenges of AI training for critical predictions, and ethical considerations surrounding AI in decision-making. Expect fascinating discussions on the future of superhuman predictions!
