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AI Alignment & AGI Fire Alarm - Connor Leahy

Machine Learning Street Talk (MLST)

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Navigating AI Alignment: Perspectives and Challenges

This chapter explores the complexities of AI alignment in the context of artificial general intelligence (AGI), discussing varying perspectives within the AI safety community. It highlights the historical evolution of the field and the contributions of key figures, while contrasting mainstream research with more radical approaches. The conversation delves into decision theory, philosophical implications of rationality, and the dynamics of social interactions through concepts like Newcomb's paradox and the prisoner's dilemma.

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