In this episode, Ricardo explores the practical facets of Bayesian thinking, demonstrating how previous events and knowledge can reshape our evaluation of future risks. In his discussion, he avoids complex formulas, highlighting the theorem's real-world implications. He also underscores the significance of 'triggers,' events or facts that provide additional information, refining our grasp of probabilities. This conversation illuminates Bayes' theorem's everyday usefulness, showcasing its potential to revolutionize how we assess risk and make decisions. He ends the episode by telling his own experience of how Bayesian thinking helped him understand and adapt his strategy to the public emergence of GPT and Generative AI. Listen to the podcast to learn more.