Representation and Reasoning
Peter discusses the challenges of representation and reasoning in AI, highlighting the limitations of traditional symbolic approaches when faced with the complexities of the real world. He suggests that integrating more nuanced representations, such as word embeddings, could enhance understanding and application of reasoning strategies. Additionally, he raises the question of whether better data alone can improve explainability, or if elements of symbolic systems are necessary for clearer insights into AI decision-making.In this clip
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Lex Fridman Podcast
Peter Norvig: Artificial Intelligence: A Modern Approach | Lex Fridman Podcast #42
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