4min chapter

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Carl Shulman (Pt 1) - Intelligence Explosion, Primate Evolution, Robot Doublings, & Alignment

Dwarkesh Podcast

CHAPTER

The Importance of Generalization in AI Training

It is possible to have a system that doesn't automatically go to this optimal behavior in the limit. And we could have like an empirical science if we had the opportunity to see how different motivations are developed short of the infinite limit. It's not determined the motivation and AI will have at a given point in the training process by what in the infinite limit the training would go to. If we could understand the insides of these networks, we could tell, yeah, this motivation has been developed by this training process. Then we can adjust our training process to produce these motivations that legitimately want to help us.

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