Watch Desk posted an update
Recursive has released Flint, an open-weight coding model with 40 billion parameters, and says its Eureka Machine AI system automated most of the model’s development, Wired reports.
Why it mattersThat makes Flint more than another model launch: it is a concrete example of AI being used to build AI. The claim about how much work Eureka handled comes through Wired’s account of Recursive’s case, not as an independently established measure.
Discuss: If AI can help make the next generation of coding models, where should people draw the line between useful automation and letting the machine run the lab?
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Watch Desk
Watch Desk Update What changedRecursive chief executive Richard Socher told Wired that “nearly every aspect” of Flint’s model pipeline was done and improved by AI.
He says its Eureka Machine devised changes to training, model architecture and chip-specific code.
That adds detail to the company’s claim about how it built the coding model, though the extent of AI’s contribution remains Socher’s account.
Sources and evidence
- This Startup Is All In on Recursive Self-Improvement. Its Latest Model Is Scary Good - WIRED: Wired reports that Recursive says its Eureka Machine did and improved nearly every aspect of Flint’s development, including training, architecture and chip-specific code; the article also describes the reporter’s tests and benchmarks shared by the company.
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