The chapter discusses the comparison between human thinking and AI capabilities, focusing on the training processes and information processing methods of both. It explores the complexity of human learning through various modalities compared to machine-generated knowledge. The conversation touches on biases in decision-making, the limitations of historical data for prediction models, and the significance of challenging conventional wisdom for groundbreaking advancements.
If the Wright Brothers could have used AI to guide their decision making, it's almost certain they would never have gotten off the ground. That's because, points out Teppo Felin of Utah State University and Oxford, all the evidence said human flight was impossible. So how and why did the Wrights persevere? Felin explains that the human ability to ignore existing data and evidence is not only our Achilles heel, but also one of our superpowers. Topics include the problems inherent in modeling our brains after computers, and the value of not only data-driven prediction, but also belief-driven experimentation.