Rethinking Machine Learning
Michael challenges the conventional use of the term AI, emphasizing that current advancements are more about decision-making under uncertainty rather than true intelligence. He highlights the importance of large-scale decision systems and the complexities involved, while acknowledging the limitations of our understanding of human-like reasoning. The conversation reveals a nuanced perspective on the evolving landscape of machine learning and its implications for the future.In this clip
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Lex Fridman Podcast
Michael I. Jordan: Machine Learning, Recommender Systems, and Future of AI | Lex Fridman Podcast #74
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