Notable Researchers Join $4 Billion Effort to Build Self-Improving AI (5 minute read)
Summary
Recursive Superintelligence raised over $650 million at a $4 billion valuation to develop AI that can improve itself with minimal human involvement, backed by prominent researchers from leading AI companies.
Similar Articles
What happens when AI starts building itself?
Richard Socher's new startup Recursive Superintelligence exits stealth with $650M in funding, aiming to build a recursively self-improving AI that can autonomously identify and fix its own weaknesses without human intervention.
@Recursive_SI: https://x.com/Recursive_SI/status/2054490801972166898
Recursive, an AI startup founded by former research leaders from OpenAI, DeepMind, and others, emerged from stealth with a $650M funding round to develop recursively self-improving AI through open-ended scientific discovery, aiming for superintelligence.
When AI Builds Itself: Our progress toward recursive self-improvement
Anthropic's Institute publishes analysis on progress toward recursive self-improvement, showing AI is already accelerating AI development—engineers ship 8x more code per quarter—and projecting that AI systems capable of fully autonomous self-improvement could arrive sooner than most institutions are prepared for.
@timshi_ai: Excited to share that we’ve started Recursive Superintelligence to automate knowledge discovery, starting with AI that …
Recursive Superintelligence, a new startup aiming to automate knowledge discovery with self-improving AI, has launched with over $650 million in funding led by GV and Greycroft.
OPENAI: "We also see early signs of recursive self-improvement in today's systems"
OpenAI reports early signs of recursive self-improvement in current AI systems, a potentially significant development in AI capabilities.