This Startup Is All In on Recursive Self-Improvement. Its Latest Model Is Scary Good
Startup Recursive has developed an AI model called Flint using its recursive self-improvement system, the Eureka Machine. The company claims the system automated most of the development pipeline, resulting in a model that outperforms peers on coding tasks despite potential safety concerns surrounding recursive AI.
Why it matters
Recursive self-improvement represents a major technological milestone that could accelerate AI capabilities drastically, while simultaneously fueling intense regulatory and existential safety debates.
Flint is the first offering from Recursive, a company that aims to use RSI to advance both AI itself and other areas of science using AI. “Nearly every aspect of the entire model pipeline was actually done and improved upon by AI,” Recursive CEO and cofounder Richard Socher told me.
Socher says his company used its recursive AI system, dubbed the Eureka Machine, to automate most elements of the model’s development. This enabled a company with a handful of researchers to build a world-class model in just a few months, he says.
Socher told me that the Eureka Machine devised a number of innovations, including a new way of training the base model, new model architectures, and code optimized for specific silicon chips. Recursive shared benchmark scores that suggest Flint outperforms other models of similar size and architecture on coding tasks.
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