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Eliezer Yudkowsky and Stephen Wolfram on AI X-risk

Machine Learning Street Talk (MLST)

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Understanding AI Motivations and Intentions

This chapter explores the complexities of AI motivations and how they compare to human intentions, particularly through the lens of chess-playing AIs. The speakers discuss the prediction and agency involved in AI decision-making, raising questions about the transparency of modern AI systems. They challenge conventional ideas about desire and purpose in AI behavior, illustrating the nuances of programmed actions versus genuine intentions.

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