Flint 40B: Recursive’s Coding Model Was Built Mostly by AI

Recursive Superintelligence released Flint, a 40B-parameter mixture-of-experts coding model that runs locally at 125 tokens per second and was built in 4 months largely through an AI research loop rather than human engineering, according to byteiota. The release points to AI-driven model development as a faster path to producing specialized coding models.

Recursive Superintelligence's Flint is a 40B MoE coding model that runs at 125 tok/sec locally — built in 4 months by an AI research loop, not humans. The post Flint 40B: Recursive’s Coding Model Was Built Mostly by AI appeared first on byteiota .