# Nathan Lambert praises Ricursive's Ripple-65B Preview as a small-team US open model

> Original title: Love this scrappy project. Hoping more US labs follow suit, showing they can also make solid models with small focused teams. This also i...

- Source: Nathan Lambert
- Published: 2026-11-04T18:34:07.000Z
- Bad Influence: https://badinfluence.news/items/du4ujcrl5noms890b7i3xy398
- Original: https://x.com/natolambert/status/2118049168967290897

## Summary

Nathan Lambert praises Ricursive Intelligence's scrappy project and hopes more US labs will show that small focused teams can build solid models. He says the work follows the OLMo lineage and is interested in how it scales up. The post links to Ricursive's Ripple-65B Preview, a 65B dense LLM the company says it pretrained from scratch and that it claims leads U.S. open-weight models on agentic coding tasks.

## Post

Love this scrappy project. Hoping more US labs follow suit, showing they can also make solid models with small focused teams. This also intellectually follows on the olmo lineage, so super cool to see what our baby looks like scaled up.

## Quoted post @RicursiveAI

> 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

https://x.com/RicursiveAI/status/2118046765857546733