Recursive unveils Flint, its first 40-billion-parameter MoE model
In brief
- Flint is a 40-billion-parameter MoE model built for local coding tasks.
- It was developed in four months using the internal "Eureka Machine" system.
- Recursive has not yet proven this method enables self-improving AI.
AI startup Recursive is introducing Flint, its first language model, a 40-billion-parameter MoE designed for local coding. Developed in four months by former DeepMind researchers, it relies on the company’s in-house system, "Eureka Machine," which automates architecture testing and optimization. Recursive has not yet shown that this approach leads to self-improving AI, according to the announcement.
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