Abstract
This position paper questions whether generality is a useful organizing goal for AI. It proposes Superhuman Adaptable Intelligence as a framework for discussing systems that learn specialized capabilities and address tasks that exceed human abilities.
Type
Publication
arXiv preprint
Ravid Shwartz-Ziv
AI Researcher
AI researcher at Meta MSL with a background in information theory and computational neuroscience, working on world models, memory, and compression. Former Assistant Professor and Faculty Fellow at NYU, collaborating on research across academia and industry.