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15min chapter
Simulacra levels, moral mazes, and low-hanging fruit (with Zvi Mowshowitz)
Clearer Thinking with Spencer Greenberg
Automated Feedback and Alignment in AI
This chapter explores the concept of automated feedback in AI systems, where the systems evaluate their own outputs or are evaluated by other AI systems to provide feedback for training. It discusses the challenges of aligning these systems and the potential risks of training AI models. The chapter also discusses the importance of better evaluations in AI safety and proposes the idea of iterated distill amplification as a potential solution.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode