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. My industry experience spans Wand AI, Intel, Google AI, and Wikipedia.