What Is Recursive Superintelligence?
The San Francisco-based startup is working to build the first truly recursive self-improving AI system. Unlike simple AI improvement loops where an AI helps optimize a specific narrow task, recursive self-improvement means the entire process of ideation, implementation, and validation of research ideas would be automatic. The system would start with AI research and eventually extend to any kind of research.
Who Is Behind the Startup?
The founding team reads like an AI hall of fame:
- Richard Socher — former CEO of You.com, known for pioneering work on ImageNet
- Peter Norvig — former Director of Research at Google, co-author of “Artificial Intelligence: A Modern Approach”
- Tim Shi — co-founder of Cresta
- Tim Rocktäschel — former lead of open-endedness and self-improvement teams at Google DeepMind
How Does “Open-Endedness” Drive Self-Improvement?
The approach is inspired by biological evolution. Just as animals adapt to their environments and counter-adapt to each other, the system would use “rainbow teaming” — where two AIs co-evolve, one attacking and the other defending — to continuously improve. This open-ended process can theoretically continue indefinitely, with intelligence increasing without a fixed endpoint.