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Prof. Murray Shanahan - Machines Don't Think Like Us

Machine Learning Street Talk (MLST)

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Understanding AI through Anthropomorphism

This chapter examines the pitfalls of anthropomorphism in AI, particularly in relation to large language models, cautioning against attributing human-like qualities to these systems. It explores the stochastic nature of language generation, the implications of conversation dynamics with AI, and the philosophical inquiries into consciousness and identity. The speakers emphasize the necessity for a nuanced vocabulary to better articulate and comprehend the complexities of AI behaviors and interactions.

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