Simulacra levels, moral mazes, and low-hanging fruit (with Zvi Mowshowitz)
Clearer Thinking with Spencer Greenberg
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Navigating AI Evaluation and Generation
This chapter explores the intricate dynamics between generative and evaluative processes in artificial intelligence. It underscores the challenges of aligning AI outputs with human ethics through reinforcement learning from human feedback and introduces the concept of constitutional AI for improved evaluation. The discussion emphasizes the importance of high-quality evaluations to ensure AI systems generate truthful and reliable information, while also addressing potential pitfalls in current methodologies.
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