This Startup Is All In on Recursive Self-Improvement. Its Latest Model Is Scary Good
Recursive makes the case that the benefits of using AI to build AI outweigh the risks.
Recursive, a startup aiming to leverage recursive self-improvement (RSI) for AI advancement, has released its latest model, Flint. CEO and cofounder Richard Socher reveals that nearly every aspect of Flint's development pipeline was automated by their AI system, the Eureka Machine. This approach enabled Recursive to build a world-class model in a few months using a small team.
The Eureka Machine devised innovations like a new training method, model architectures, and chip-optimized code. Benchmark scores show Flint outperforming other models of similar size and architecture on coding tasks. While AI is often used to enhance AI development, the prospect of AI systems improving themselves indefinitely has raised concerns about potential risks and control.
However, Recursive remains confident, asserting that Flint's system is under human control and that this breakthrough could make advanced AI more accessible.
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