
RLHF 201 - with Nathan Lambert of AI2 and Interconnects
Latent Space: The AI Engineer Podcast
00:00
Anticipating the need for super alignment and AI overlords
Advancements in AI are leading to a point where manual human preference data collection cannot scale, necessitating the trust in AI to model human preferences. This has led to the concept of super alignment where we prepare for a future where the AI being controlled is smarter than us. The idea is to train the AI to be smarter than itself, as humans may no longer be fully in control at the point of super intelligence. The potential solution appears to lie in using robust generalization, and this concept is linked to the evolution from constitutional AI to super alignment.
Play episode from 01:02:13
Transcript


