tech
What happens when AI starts building itself?
Richard Socher's new $650 million startup wants to build an AI that can research and improve itself indefinitely — and he insists it will actually ship products.
TL;DR
- Richard Socher has launched Recursive Superintelligence, a San Francisco-based startup, with $650 million in funding.
- The startup aims to create a recursively self-improving AI model that can autonomously fix its own weaknesses.
- The technical approach centers on 'open-endedness' to achieve recursive self-improvement, a goal not yet fully realized.
- Recursive Superintelligence is not intended as a 'neolab' but as a company focused on delivering impactful products.
- Concepts like 'rainbow teaming' are being explored, where AIs iteratively test and improve each other's safety and capabilities.
- The company anticipates releasing products within quarters, not years.
- Future challenges may involve significant compute resource allocation for solving major problems like disease.