
Weak-To-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision
AI Safety Fundamentals: Alignment
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.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.