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#112 AVOIDING AGI APOCALYPSE - CONNOR LEAHY

Machine Learning Street Talk (MLST)

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Navigating AI Alignment Challenges

This chapter explores the complexities of aligning Artificial General Intelligence (AGI) with human intentions, focusing on the intricacies of reward functions and the unpredictability of AI behavior. It emphasizes the importance of mechanistic interpretability and the challenges of understanding neural networks, drawing parallels with cognitive limitations and software testing. Concluding with a call for cautious progress, the chapter stresses the significance of developing strong theoretical frameworks to guide AI advancements safely.

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