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#57 - Prof. Melanie Mitchell - Why AI is harder than we think
Machine Learning Street Talk (MLST)
Navigating the Intelligence Divide
This chapter explores the intricacies of deep learning and its comparison to human cognitive abilities, using Raven's progressive matrices as a framework. It emphasizes the limitations of current machine learning systems, particularly their reliance on large datasets and the challenges of generalizing knowledge beyond training data. The discussion raises philosophical questions about AI capabilities, accuracy versus understanding, and the pursuit of true artificial intelligence.
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