Recursive Superintelligence raises $650M to build self-improving AI models - SiliconANGLE

Recursive Superintelligence launched with $650 million in funding to develop self-improving AI models that can discover new knowledge through automated scientific discovery. The company, which emerged from stealth on Wednesday, is focused on building AI systems capable of recursively improving their own capabilities without direct human intervention. The funding round is one of the largest for a startup in the AI self-improvement space.

The $650 million investment will be used to build and train models designed to autonomously generate hypotheses, design experiments, and interpret results, effectively creating a closed loop of scientific advancement. The company aims to accelerate the pace of discovery in fields such as materials science, drug development, and fundamental physics by leveraging AI that can improve its own reasoning and experimental design over time.

The launch comes amid a broader trend of startups and established labs pursuing autonomous scientific discovery and self-improving AI systems. Recursive Superintelligence's large funding round signals investor appetite for ambitious, long-term bets on AI capabilities, though the company has not disclosed details about its current model performance or a timeline for delivering practical results.