Market & RegulationInvestment · $650M
Recursive Superintelligence emerges with $650M funding
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Why it matters
- →Recursive self-improvement could lead to AI systems that autonomously enhance themselves.
- →The involvement of prominent AI researchers adds credibility to the ambitious goals.
- →Success could significantly impact AI research and development methodologies.
Recursive Superintelligence, a San Francisco-based AI startup founded by Richard Socher, has launched with $650 million in funding. The company aims to create a recursively self-improving AI model, a concept that allows AI to autonomously identify and improve its own weaknesses. This ambitious project involves notable AI researchers, including Peter Norvig and Tim Shi, and seeks to push the boundaries of AI development. The startup's approach focuses on open-endedness, a method that could lead to significant advancements in AI capabilities.
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