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…
Rishi Bommasani on Foundation Models An interview with Rishi Bommasani, a second-year Ph.D. student at Stanford focuses on understanding AI systems and who helped build and organize the…
Upol Ehsan on Human-Centered Explainable AI and Social TransparencyAn interview with Upol Ehsan, a Doctoral Candidate in the School of Interactive Computing at Georgia Tech who researched Human-Centered Explainable AI
Miles Brundage on AI Misuse and Trustworthy AIAn interview with Miles Brundage, Head of Policy Research at OpenAI and a researcher passionate about the responsible governance of artificial…
Jeffrey Ding on China's AI Dream, the AI 'Arms Race', and AI as a General Purpose TechnologyAn interview Jeffrey Ding, a postdoctoral fellow at Stanford's Center for International Security and Cooperation, who researches implications of…
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…
Peter Henderson on RL Benchmarking, Climate Impacts of AI, and AI for LawAn interview Stanford PhD candidate Peter Henderson, whose research creating robust decision-making systems to create new ML methods for applications…
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…
Devi Parikh on Generative Art & AI for CreativityAn interview with Devi Parikh, a professor at Georgia Tech whose research focuses on CV, NLP, embodied AI, human-AI collaboration, and AI for creativity
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…
Jeremy Howard on Kaggle, Enlitic, and fast.aiAn interview with Jeremy Howard, a founding researcher at fast.ai, an institute dedicated to making deep learning more accessible
Evan Hubinger on Effective Altruism and AI SafetyAn interview with Evan Hubinger , an AI safety veteran who’s done research at leading AI labs like OpenAI, and whose experience also includes stints at…