Leslie Valiant
Professor of Computer Science at Harvard University, recipient of the Turing Award. Pioneer in computational learning theory and author of "Probably Approximately Correct."
Top 3 podcasts with Leslie Valiant
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Apr 15, 2024 • 1h 8min
272 | Leslie Valiant on Learning and Educability in Computers and People
Leslie Valiant, a Harvard Computer Science professor and Turing Award recipient, shares his groundbreaking insights on learning and educability. He distinguishes between intelligence and the capacity to learn, emphasizing the importance of these traits in both humans and AI. Valiant explores the evolutionary basis of learning, cautions against AI risks, and discusses the complexities of integrating reasoning with machine learning. He critiques traditional views of intelligence, advocating for a broader understanding of educability in navigating modern challenges.
Mar 30, 2026 • 21min
Machine Learning Theory with Leslie Valiant
Leslie Valiant, Turing Award–winning computer scientist and Harvard professor who founded PAC learning theory, reflects on how theory met practice in machine learning. He recounts the origins of the PAC model, why learnability can defy hardness, the split between statistical and computational approaches, and his broader aims to formalize cognition and educability.
May 16, 2025 • 42min
541. The Ingredients That Make Up Human and Artificial Educability with Leslie Valiant
Leslie Valiant, a Harvard professor known for his work on artificial intelligence and educability, dives into what it means to learn. He discusses the unique aspects of human intelligence and how our educability sets us apart from AI. Valiant challenges conventional definitions of intelligence and explores the shortcomings of traditional IQ tests. He also emphasizes the need for innovative teaching methods that focus on meaningful learning for both humans and machines, while pondering the future of human-AI collaboration.
