Vladimir Vapnik

Vladimir Vapnik is the co-inventor of support vector machines, support vector clustering, VC theory, and many foundational ideas in statistical learning. His work has been cited over 170,000 times. He has some very interesting ideas about artificial intelligence and the nature of learning, especially on the limits of our current approaches and the open problems in the field. Video version is available on YouTube. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, or YouTube where you can watch the video versions of these conversations. 

Vladimir Vapnik, co-inventor of support vector machines and professor at Columbia University, dives into the essence of intelligence and its philosophical implications. He discusses predicates in storytelling, connecting them to AI's understanding of human behavior. The conversation touches on the significance of symmetry in digit recognition and the challenges faced by machines in recognizing effective predicates. Vapnik also examines the intersection of Plato's theories and modern mathematics, advocating for a deeper comprehension of data and function in AI.