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Scaling Intelligence

Oriol discusses the significance of scaling data and models in deep learning, emphasizing that while this approach has proven effective, it may not fully address the challenges of generalization. He advocates for integrating expert systems and discrete decision-making to enhance problem-solving capabilities, particularly in complex domains like cancer detection and gaming. The conversation also touches on the intriguing connection between visual data and language, highlighting the potential of sequence-to-sequence learning in bridging these realms.