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31min chapter
MLST #78 - Prof. NOAM CHOMSKY (Special Edition)
Machine Learning Street Talk (MLST)
Rethinking AI: Abstraction and Reasoning
This chapter examines the evolution of artificial intelligence through the lens of a prominent intellectual figure, emphasizing the importance of learning and reasoning in AI systems. It critiques current neural networks and discusses the necessity of symbolic logic and abstraction for achieving human-like understanding and reliability. The dialogue also considers historical contexts and recent advances in AI, highlighting the ongoing challenges and the need for innovative approaches in machine learning.
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