Robots are great specialists, but poor generalists. Typically, you have to train a model for each task, robot, and environment. Changing a single variable often requires starting from scratch. But what if we could combine the knowledge across robotics and create a way to train a general-purpose robot? Source link

Introducing a context-based framework for comprehensively evaluating the social and ethical risks of AI systems Generative AI systems are already being used to write books, create graphic designs, assist medical practitioners, and are becoming increasingly capable. Ensuring these systems are developed and deployed responsibly requires carefully evaluating the potential ethical and social risks they may…

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Research Published …

Experience AI's course and resources are expanding on a global scale AI has the potential to drive one of the greatest social, economic and scientific transformations in history, and we need to ensure the technology benefits as many people as possible. One important way to do this is through access to AI education to develop…

Acknowledgements: Lyria was made possible by key research and engineering contributions from Kazuya Kawakami, David Ding, Björn Winckler, Cătălina Cangea, Tobenna Peter Igwe, Will Grathwohl, Yan Wu, Yury Sulsky, Jacob Kelly, Charlie Nash, Conor Durkan, Yaroslav Ganin, Tom Eccles, Zach Eaton-Rosen, Jakob Bauer, Mikita Sazanovich, Morgane Rivière, Evgeny Gladchenko, Mikołaj Bińkowski, Ali Razavi, Jeff Donahue,…

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