Iterated Amplification is an approach to AI alignment. alignment, named by Paul Christiano.
Iterated Amplification is an approach to AI alignment, namedspearheaded by Paul Christiano. In this setup, we build powerful, aligned ML systems through a process of initially building weak aligned AIs, and recursively using each new AI to build a slightly smarter and still aligned AI.
Iterated Amplification is an approach to AI alignment.
See also: Factored cognition.