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Kevin Wang and his Princeton team challenge conventional wisdom in reinforcement learning by scaling neural networks to 1000 layers using a self-supervised objective that transforms RL into a classification problem, demonstrating performance gains through architectural innovations like residual connections and layer normalization.
Sebastian Seung discusses his groundbreaking work on the fly connectome and his new startup Memazing, which aims to create digital brain emulations by mapping and simulating neural connections, with the ultimate goal of understanding intelligence and potentially transcending biological constraints.
Dr. Fei-Fei Li discusses her journey from a curious child in China to a leading AI researcher, exploring the development of ImageNet, her views on AI's civilizational impact, and her current work at World Labs developing spatial intelligence technology to help humans create, learn, and interact with digital worlds.
Donald S. Lopez Jr., a leading scholar of Buddhism, discusses the religion's history, theology, myths, and global decline in a wide-ranging conversation exploring everything from the Buddha's legendary bodily marks to the random succession of Dalai Lamas.
A podcast episode exploring how AI is transforming education from K-12 to college, featuring interviews with an innovative school founder, a Princeton professor, and student perspectives on using AI for learning, motivation, and personal growth.