Richard Socher introduces Flint, Recursive’s first model, built with the Eureka Machine
Richard Socher @RichardSocherX
Why it matters
Launch post for a model presented as largely built by automated AI research; 2.8M views.
Summary
Socher announces Flint: fast local coding, up to 2x faster than comparable models, built from scratch in under four months with Recursive’s automated research system.
Archived text
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 four 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.