Future of AI
The conversation delves into the evolving landscape of artificial intelligence, highlighting the trend towards larger and more general models, particularly in language and generative systems. A significant emphasis is placed on the need for more extensive and open-source data sets in robotics to enhance generalization and performance, as current data limitations pose challenges in this complex field. The speakers express hope for advancements that will improve data understanding and curation, ultimately driving innovation in AI applications.In this clip
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The Robot Brains Podcast
S3 E2 Stanford Prof Chelsea Finn: How to build AI that can keep up with an always changing world
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