Recursive Launches Flint, a Laptop Coding Model It Says Was Largely Built by AI
The model uses only 2.5 billion parameters at a time and was built in under four months with Recursive’s automated research system.
- On Wednesday, Recursive released Flint, a free, open-weight coding model designed to run locally on ordinary laptops. The model is an early public test of recursive self-improvement.
- Recursive utilized its automated research system, the Eureka Machine, to build the model from scratch in under four months. The system contributed to model shape, low-bit training that shrank Flint by 71%, and custom kernels.
- Flint achieves about 131 tokens per second on a MacBook Pro with Apple's M4 Pro chip, roughly twice the performance of similar models. It uses a mixture-of-experts architecture, utilizing just 2.5 billion of its 40 billion parameters for any task.
- Developers can download Flint for free on Hugging Face under the Apache 2.0 license. Because it runs locally, users maintain code privacy and avoid usage fees charged by cloud-based AI services.
- CEO Richard Socher envisions the Eureka Machine eventually achieving full recursive self-improvement with human oversight. On SWE-Bench Verified, Flint outperformed other models under 50 billion parameters, demonstrating capability to fix real-world software bugs.
14 Articles
14 Articles
Recursive Flint is a free laptop coding model built largely by AI
Recursive Superintelligence, the startup trying to build AI that improves itself, has released its first model. Flint is a free coding model small enough to run on a laptop. Recursive says its own automated research system helped build nearly every part of it. The company announced Flint on Wednesday and published the weights on Hugging […] This story continues at The Next Web
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BizTocRecursive launches Flint, a laptop coding model it says was largely built by AI
Startup Recursive has released Flint, a free, laptop-sized coding model built largely by its own AI research system, as an early test of AI that improves itself.
Recursive Superintelligence, founded in 2025, out of anonymity in May 2026 and with more than 650 million dollars raised, published on October 21, Flint, a model of open weight programming under Apache 2.0 license. What is interesting is not the model, which is good and verifiable, but the claim that accompanies it:
Recursive Launches Flint AI Coding Model Built With Its Automated Research System
AI startup Recursive has released Flint, a free coding model designed to run locally on laptops, marking its first public demonstration of AI-assisted model development. The company said its automated research system, Eureka Machine, helped a small team build Flint from scratch in less than four months by assisting with model design, training, and performance optimization. The model launched on October 21, 2026, is available under the Apache 2.0…
Recursive SI Launches Flint 40B: Open Weights That Run on the Developer’s Own Machine
Recursive SI released Flint, a 40-billion-parameter mixture-of-experts coding model, on October 21. The weights are on Hugging Face at RecursiveSI/flint under an Apache 2.0 license with no revenue gate, no OEM clause, and no service-operator trigger. The company’s announcement frames the model as built for local coding agents – the kind that run on the […]
Recursive shows first result of its AI-driven research process with Flint
The AI startup Recursive is unveiling Flint, its first language model, a 40-billion-parameter MoE for local coding developed by former DeepMind researchers. It was created in four months using the company's in-house AI system, "Eureka Machine," which independently tests and optimizes architectures. Recursive has yet to prove whether this approach will actually lead to self-improving AI. The article Recursive shows first result of its AI-driven r…
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