Michael shares his perspective on the nature of breakthroughs in AI, emphasizing the importance of practical advancements over theoretical ones. He critiques popular figures who oversimplify complex topics like AI, while highlighting the transformative potential of data-driven innovations such as Google and Amazon. Drawing parallels between the evolution of AI and historical engineering fields, he suggests that we are only beginning to understand the implications of these developments for society.
