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#93 Prof. MURRAY SHANAHAN - Consciousness, Embodiment, Language Models

Machine Learning Street Talk (MLST)

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Grounding and Emergence in AI

This chapter explores the symbol grounding problem in artificial intelligence, emphasizing how symbols in human language connect to real-world experiences, contrasting this with AI's limitations. It discusses the emergence of complex capabilities in language models despite their training for simple tasks, and raises philosophical questions about reasoning versus understanding in AI. Furthermore, the chapter highlights the implications of anthropomorphizing machines and the complexities surrounding knowledge and belief in the context of large language models.

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