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An AI helped build a new coding AI in under four months, and the result runs on a MacBook at 125+ tokens a second at short contexts. It runs entirely on your own machine, so there's no bill per token. That model is Flint, the first release from Recursive, a 40B mixture-of-experts model with open weights under Apache 2.0. The research system behind it, the Eureka Machine, runs the scientific method in a loop, chasing lots of research paths in parallel and getting better at research from…
Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine. • Best-in-class fast local coding • Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark • Built from scratch in under 4 months Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.