From Startup Fortune · · 1m 10s
Recursive AI Built Flint Coding Model
Recursive's AI created most of its new Flint coding model without human input.
In brief
Recursive's AI created most of its new Flint coding model without human input. Recursive's AI system developed Flint, an open-weight coding model that runs locally on laptops and outperforms benchmarks. Originally reported by Startup Fortune.
Recursive's AI Built Flint
Recursive's AI system developed Flint, an open-weight coding model that runs locally on laptops and outperforms benchmarks.
Flint's Development Process
Nearly every stage of Flint's pipeline, training method, and model architecture came from ideas the Eureka Machine generated and tested itself.
Flint's Technical Specs
Flint is a 40-billion-parameter mixture-of-experts model with 2.5 billion active parameters, running on a laptop with an M4 Pro chip.
Performance Metrics
Flint hits over 125 tokens per second on a MacBook Pro with an M4 Pro chip and more than 150 on Nvidia's RTX Spark.
Benchmark Results
Recursive claims Flint leads its size class on SWE-Bench Pro, SWE-Bench Verified, and Terminal-Bench tests for coding tasks.
Independent Verification
Flint's benchmark results were generated by Recursive itself, not an independent lab, and have not been verified by outsiders yet.
Recursive's Self-Improvement Claim
Recursive says its AI system can find weaknesses, write benchmarks, and rewrite code to improve without much human input.
The bottom line
Recursive's AI system developed Flint, an open-weight coding model that runs locally on laptops and outperforms benchmarks.
