Yann LeCun on his Start in Research and Self-Supervised LearningAn interview with Professor LeCun about his early days in AI research during the 80s and recent developments in self-supervised learning for computer…
Connor Leahy on EleutherAI, Replicating GPT-2/GPT-3, AI Risk and AlignmentAn interview with Connor Leahy, an AI researcher focused on understanding large AI models and aligning them to human values, and a co-founder of…
Explain Yourself - A Primer on ML Interpretability & ExplainabilityAn audio version of our article on the intersection of causality and interpretability -- exciting and promising research areas in the field of Machine…
Eric Jang on Robots Learning at Google and Generalization via LanguageAn interview with Eric Jang, a research scientist on the Robotics team at Google, who focuses on robotic manipulation and self-supervised robotic…
Percy Liang on Machine Learning Robustness, Foundation Models, and ReproducibilityAn interview with Percy Liang, an Associate Professor of Computer Science at Stanford University and the director of the Center for Research on…
Sergey Levine on Robot Learning & Offline RLAn interview with professor Sergey Levine, who researches Deep Reinforcement Learning with an emphasis on robotics, Offline Reinforcement Learning, and…
Chelsea Finn on Meta Learning & Model Based Reinforcement LearningAn interview Stanford Professor Chelsea Finn, whose research deals with the capability of robots and other agents to develop broadly intelligent…
Nick Walton on AI Dungeon and the Future of AI in GamesAn interview with Nick Walton, the creator of AI Dungeon and the CEO and Co-Founder of Latitude
How AI is Changing Chemical DiscoveryAn audio version of our article on how computational approaches are used not just to assist lab experiments but to guide them
Reflections on Foundation Models An audio version of our article on foundation models -- a charged yet increasingly important topic
Greg Yang on Communicating Research, Tensor Programs, and µTransferAn interview with Greg Yang, scientist at Microsoft Research focused on understanding large neural networks via the Tensor Programs framework.
Alex Tamkin on Self-Supervised Learning and Large Language ModelsAn interview Stanford PhD candidate Alex Tamkin, whose research focuses on understanding, building, and controlling pretrained models, especially in…