The challenge of optimizing for multiple objectives is a complex problem that requires a robust and scalable solution that can optimize outcomes across different challenges. Committees and meetings are held to tweak objectives based on the latest data from cars to get them to behave better, but finding a solution to problems like curing cancer or fixing carbon dioxide levels is more complicated.