Recursive 使用 Eureka Machine 构建 Flint，一款 400 亿参数的 AI 模型
recursive 发布 flint，一款由 eureka machine ai 系统开发的 400 亿参数语言模型，可自动进行研究循环以实现更快的编码性能。
recursive, an ai startup, has released flint, its first language model developed largely by an internal ai system called 'eureka machine'. flint uses a mixture-of-experts architecture with 40 billion parameters, 2.5 billion active, and is optimized for fast local execution on apple and nvidia hardware. the model was built in four months and leads coding benchmarks like swe-bench pro v2 and terminal-bench 2.1 among moe models with fewer than 50 billion parameters. recursive claims flint matches benchmark scores of much slower dense models in the 27 to 31 billion parameter range and generates over 125 tokens per second on an m4 pro.