AI 导读
Ricursive AI 发布 Ripple-65B Preview，一款从零预训练的 65B dense 模型，在 agentic coding 任务上超越 Muse Spark Open-816B、Beam-501B、Inkling-975B、Nemotron 3 Ultra-550B 等更大模型。swyx 引用其说明称全 R&D 成本仅 $32M，约为此前开源权重 SOTA 的十分之一，含预训练阶梯、数据混合、评测、合成数据与后训练等全部环节。详情见 https://www.ricursive.com/ripple。
正文
> we developed and trained Ripple-65B Preview for only $32M, which is one-tenth the cost of the previous open-weight SOTA on agentic coding¹
this is like the avengers of open model SOTA
¹ "Note that $32M is our full R&D cost starting from scratch, including pretraining ladder development, data mixing, evals, debugging, synthetic data generation, posttraining recipe development, and the final hero pretraining and posttraining run."
Today we release Ripple-65B Preview, our 65B dense LLM we pretrained from scratch. Ripple sets a new state-of-the-art for U.S. open-weight models in agentic coding tasks, surpassing significantly larger models including Muse Spark Open-816B, Beam-501B, Inkling-975B, and Nemotron 3 Ultra-550B. Learn more: https://www.ricursive.com/ripple在 X 查看被引用的帖子
来源：swyx · x.com