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Paul Warren: "The 'aha,' the awe moments were more around the generative models. And for me that was seeing energy based systems and relationships to statistical dynamics... You see it in this one field. My goodness, this formula is also used in this other context. This formula is the same as that formula is the same as this formula. It's all one thing! There is structure in the universe!"
Data scientist Paul Warren joins us this episode on the Deepfake to share his many epiphanies on whether AI can be Turing Complete, how algorithmic feedback can change our relationship to art, what makes information meaningful, and when he's experienced the sublime with artificial intelligence and exponential growth.
We are excited for the chance to speak with Stanford-trained data scientist and machine learning consultant Paul Warren, whose work spans more than 40 AI projects with YCombinator startups, NASA, the Chilean Ministry of Agriculture, and many other firms. His knowledge and understanding include the technical aspects of AI and quantum computing, as well as aesthetics and social theory that inform human relationships with the information systems in which we live.