About this podcast

Dive deep into the fascinating world of self-supervised deep learning in computer vision with Ishan Misra, a research scientist at FAIR. In this episode of the Lex Fridman Podcast, Ishan and Lex explore complex topics such as the nature of intelligence, the challenges of computer vision, contrastive and non-contrastive learning, data augmentation, and the limits of deep learning. They also discuss real-world applications like autonomous driving, the future of AI, and practical advice for aspiring machine learning professionals. Discover the most beautiful ideas in self-supervised learning and the critical difference between learning and reasoning in the quest to build super-human AI.