Vladimir Vapnik: Predicates, Invariants, and the Essence of Intelligence

This article summarizes a podcast episode featuring Vladimir Vapnik, a prominent figure in statistical learning and the co-inventor of Support Vector Machines (SVMs) and VC theory. The episode, part of the Lex Fridman AI podcast, delves into Vapnik's foundational ideas on intelligence, including predicates, invariants, and the essence of intelligence. The outline suggests a discussion covering topics like Alan Turing, Plato's ideas, deep learning, symbolic AI, and image understanding. The article also includes promotional material for the podcast and its sponsors, providing links for further engagement.

• •Vladimir Vapnik is a key figure in statistical learning, known for SVMs and VC theory.
• •The podcast episode explores Vapnik's ideas on intelligence, including predicates and invariants.
• •The episode covers a range of topics related to AI, from Turing to deep learning.