In this podcast, the speakers discuss the limitations of machine learning and how it only looks at the facts, rather than the strings behind them. They propose the idea of playful manipulation or intervention to create unexpected events, introducing noise, and ultimately creating observational studies for machine learning to infer the strings behind the facts.