Richard Socher launches Flint: open-weights local coding model built in under 4 months

jeffclune · x · 2026-10-22

Richard Socher unveils Flint, the first model from Recursive AI, built from scratch in under 4 months by their automated research system, the Eureka Machine. It hits 125+ tokens/sec on a MacBook Pro and 150+ on RTX Spark—claimed up to 2x faster than comparable local coding models. Open weights are live on Hugging Face, runnable locally or free via opencode and pidotdev, pitching private, unmetered on-device intelligence. Socher says every model the system builds makes it better at building the next.

Related event: Recursive launches Flint, an open-weight 40B MoE coding model built by its automated research system(73 posts)→

Original post →

More from coding & agent

coding & agent channel →