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Weak-To-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision

AI Safety Fundamentals: Alignment

CHAPTER

Understanding Weak to Strong Generalization in Superhuman Models

The chapter delves into the challenges of aligning superhuman models with weak supervision, emphasizing the risks of imitating weak supervisors and pre-training leakage. It discusses the potential of prompting on high-probability tasks and weak-to-strong generalization, highlighting the necessity of addressing pre-training leakage dysanalogies. The chapter underscores the importance of research in understanding weak to strong generalization in AI to ensure high reliability and prevent catastrophic harm.

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