Former Meta Research Director Co-Founds AI Startup Recursive Superintelligence
Raises $650M at $4.65B Valuation for Recursive Self-Improvement AI
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Tian Yuandong, ex-Meta AI research director, co-founds Recursive Superintelligence, raising $650M at a $4.65B valuation to develop self-improving AI systems capable of autonomous code refinement and reasoning.
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AI self-improvement is a highly sought-after technology in the AI research community.
A star Chinese researcher laid off by Facebook owner Meta Platforms has co-founded a start-up focused on self-improving artificial intelligence systems, joining a wave of US and Chinese firms developing models capable of autonomously refining their own code and reasoning. Tian Yuandong, former research scientist director at Meta’s FAIR (Fundamental AI Research) team, launched Recursive Superintelligence alongside seven other co-founders. The company said on Wednesday it had raised more than US$650 million at a US$4.65 billion valuation. Often referred to as “recursive self-improvement”, AI systems that can automate the AI research and development process have long been seen as the holy grail of AI research. A company that can first achieve this milestone would, in theory, be able to rapidly extend its lead over competitors as its AI development efforts accelerated exponentially. “[T]he fastest path to superintelligence will be realised by AI that recursively improves itself, and does so via open-ended algorithms that drive endless innovation,” the company said in a statement.
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Recursive Superintelligence will lead to accelerated AI development
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