Ishan Misra is a research scientist at FAIR working on self-supervised visual learning. Please support this podcast by checking out our sponsors: - Onnit: to get up to 10% off - The Information: to get 75% off first month - Grammarly: to get 20% off premium - Athletic Greens: and use code LEX to get 1 month of fish oil EPISODE LINKS: Ishan's twitter: Ishan's website: Ishan's FAIR page: PODCAST INFO: Podcast website: Apple Podcasts: Spotify: RSS: Full episodes playlist: Clips playlist: OUTLINE: 0:00 - Introduction 2:27 - Self-supervised learning 11:02 - Self-supervised learning is the dark matter of intelligence 14:54 - Categorization 23:28 - Is computer vision still really hard? 27:12 - Understanding Language 36:51 - Harder to solve: vision or language 43:36 - Contrastive learning & energy-based models 47:37 - Data augmentation 51:57 - Fixed audio spike by lowering sound with pen tool 1:00:10 - Real data vs. augmented data 1:03:54 - Non-contrastive learning energy based self supervised learning methods 1:07:32 - Unsupervised learning (SwAV) 1:10:14 - Self-supervised Pretraining (SEER) 1:15:21 - Self-supervised learning (SSL) architectures 1:21:21 - VISSL pytorch-based SSL library 1:24:15 - Multi-modal 1:31:43 - Active learning 1:37:22 - Autonomous driving 1:48:49 - Limits of deep learning 1:52:57 - Difference between learning and reasoning 1:58:03 - Building super-human AI 2:05:51 - Most beautiful idea in self-supervised learning 2:09:40 - Simulation for training AI 2:13:04 - Video games replacing reality 2:14:18 - How to write a good research paper 2:18:45 - Best programming language for beginners 2:19:39 - PyTorch vs TensorFlow 2:23:03 - Advice for getting into machine learning 2:25:09 - Advice for young people 2:27:35 - Meaning of life SOCIAL: - Twitter: - LinkedIn: - Facebook: - Instagram: - Medium: @lexfridman - Reddit: - Support on Patreon: