Recursive 发布首个模型 Flint：40B MoE 编码模型由 AI 自主研发
Recursive shows first result of its AI-driven research process with Flint
前 DeepMind 团队做的 40B MoE 编码模型，整个研发流程由他们的 Eureka Machine 自主跑完，只花了 4 个月。
由前 DeepMind 研究人员创办的 Recursive 推出首个语言模型 Flint，参数量 400 亿，采用 MoE 架构，定位本地编码场景。该模型由公司自研的 Eureka Machine 在 4 个月内独立完成测试与架构优化。Recursive 尚未证明这种方式能否真正带来自我改进的 AI。
Recursive shows first result of its AI-driven research process with Flint
The AI startup Recursive is unveiling Flint, its first language model, a 40-billion-parameter MoE for local coding developed by former DeepMind researchers. It was created in four months using the company's in-house AI system, "Eureka Machine," which independently tests and optimizes architectures. Recursive has yet to prove whether this approach will actually lead to self-improving AI. The article Recursive shows first result of its AI-driven research process with Flint appeared first on The Decoder .
