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

Machine Learning Street Talk (MLST)

CHAPTER

Understanding AI: Between Human Traits and Machine Limits

This chapter explores the complexities of anthropomorphizing AI, particularly large language models, and the misconceptions surrounding their capabilities. It examines the dual nature of these systems, their potential to perform sophisticated tasks while also making human-like errors, and the dangers of overstating their cognitive abilities. The discussion emphasizes the need for critical examination of AI reasoning and the importance of distinguishing between human cognition and machine functionality.

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