AI Data Challenges
Nathan and Ted discuss the challenges of obtaining and scaling high-quality data for AI, emphasizing the need for creative transfer strategies and the fusion of robotics and internet concepts to achieve embodied AI. They highlight the importance of imitation learning in AI research but acknowledge the limitations of costly, human-dependent data collection methods.In this clip
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