This podcast episode explores the groundbreaking research of Fei-Fei Li, the godmother of AI, and her development of ImageNet in 2006, which aimed to teach machines to see the world. The episode highlights the importance of data in training algorithms and discusses the potential of generative AI and robotics. It emphasizes the significance of academia and big tech working together to bring these technologies into various industries. The episode also delves into the concept of human-centered AI, focusing on prioritizing human well-being and societal impact. It discusses the challenges of developing AI for complex tasks and emphasizes that while progress has been made, an all-powerful AI is still far from being a reality.