Recursive releases Flint, a 40B open-weight coding model built largely by its Eureka Machine
AI startup Recursive released Flint, a free 40-billion-parameter mixture-of-experts coding model that runs locally on laptops, under the Apache 2.0 license on Hugging Face. Recursive says its automated research system, Eureka Machine, contributed to nearly every stage of development, from pretraining through post-training and inference, enabling a small team to build the model from scratch in under four months. The company claims roughly 131 tokens per second on a MacBook Pro with an M4 Pro chip and more than 220 tokens per second on a 64GB RTX Spark, framing Flint as an early public test of recursive self-improvement.
Editorial responsibility
- No named human review is recorded for this page.
- Reports are grouped by semantic similarity and deterministic rules. Language models may assist titles, summaries, translation and cross-source analysis; the page reads the event directly, while its address stays stable when the title changes.
- Summary covers the current reports
Cross-source coverage
Reporting timeline
Recursive launches Flint coding model that runs on laptops, claims AI built it
AI startup Recursive released Flint, a free coding model that can run on a laptop, on Wednesday. The company said its automated research system, Eureka Machine, was involved in nearly every stage of development, from pretraining through post-training and inference. Recursive also said a small team completed the work from scratch in under four months. The announcement positions Flint as a locally runnable programming model and highlights Recursive's claim that its AI system played a central role in building it.
Read sourceRecursive launches Flint, a laptop coding model largely built by AI
AI startup Recursive released Flint on Wednesday, a free coding model that runs on a laptop and was built largely with the help of its own automated research system, the Eureka Machine. Recursive says the system contributed to nearly every stage of development, from pre-training to post-training and inference, letting a small team build the model from scratch in under four months. Flint is a mixture-of-experts model activating 2.5 billion of its 40 billion parameters at a time, and Recursive claims it generated about 131 tokens per second on a MacBook Pro with an M4 Pro chip, roughly twice the speed of comparable models. It is free on Hugging Face under the Apache 2.0 license. The company, led by CEO Richard Socher and backed by GV, Nvidia, and AMD Ventures, frames Flint as an early public test of recursive self-improvement, with humans overseeing the process.
Read sourceRecursive Releases Flint, a 40B Open-Weight Coding Model Under Apache 2.0
Recursive has released Flint, its first open-weight coding model, under the Apache 2.0 license. Flint is a 40-billion-parameter mixture-of-experts model designed for local coding, and Recursive claims it is 2x faster than comparable alternatives. According to the company, Flint achieves more than 220 tokens per second on a 64GB RTX Spark. Recursive also said its Eureka Machine, a system for running AI research experiments, wrote custom GPU code that sped Flint up by 55% on RTX Spark without changing the model's weights. The announcement positions Flint as a locally runnable coding model with an open license and performance gains attributed to automated GPU code generation.
Read sourceShow 2 older updatesHide older updates
Recursive Releases Flint, a 40B Local Coding Model Built by Automated Research System
Recursive has released its first model, Flint, a 40B Mixture-of-Experts local coding model. According to the source, Flint was built from scratch in under four months by Recursive's automated research system, Eureka Machine. The model's weights are being released openly under the Apache 2.0 license. The announcement positions Flint as both a coding-focused AI model and an output of an automated research pipeline, with the short development timeline and open-weight licensing as the main disclosed details.
Read sourceRecursive Releases Flint, a 40B Open-Weights Coding AI Built by Its Eureka Machine
Recursive released Flint, its first model, a 40B mixture-of-experts coding AI with open weights under Apache 2.0, built in under four months with help from an AI research system called the Eureka Machine. The Eureka Machine runs the scientific method in a loop, pursuing many research paths in parallel and improving its research from results. Its work appeared in architecture, low-bit training, specialized inference kernels, and speculative decoding. Flint runs entirely on a MacBook at 125+ tokens a second at short contexts, with no per-token bill. The author says this is the closest local coding has felt to viable, since an agent can run all day without a meter and prompts and code stay on owned hardware, and calls it one of the first real milestones in self-improving AI.