# 小红书开源生活智能体模型 dots3-note

- 来源：AYi (@AYi_AInotes)
- 发布时间：2026-08-15 02:06
- AIHOT 分数：50
- AIHOT 链接：https://aihot.virxact.com/items/cmst9xac605serodz34g7t4sy
- 原文链接：https://x.com/AYi_AInotes/status/2088326336012075060

## AI 摘要

小红书（RedNote）开源大语言模型 dots3-note preview，主打长时程生活智能体场景。该模型为 280B MoE、16B 激活参数，512K 上下文窗口，支持文本、视觉、音频多模态，并引入针对长时任务 RL 训练的新方法 TEMPO。模型权重与两个生活智能体基准 VibeSearchBench、VibeLifeBench 已在 Hugging Face 开源。

## 正文

Xiaohongshu (RedNote)-often called China's Facebook, with 350 million users and over a decade of lifestyle notes-has quietly open-sourced a large language model.

I've always believed that in the end, the LLM race won't be won by whoever is smarter, but by whoever holds data that others can't copy.

Math and code? Anyone can scrape those. But "how to plan a wedding," "how to organize a trip," "how to open a shop without stepping on every landmine"-that kind of knowledge? Only Xiaohongshu has it.

What's interesting is its technical choice. A sibling model in the same series just scored a perfect 42/42 at IMO 2026-a feat achieved by only 7 human contestants worldwide. Yet this open-sourced version didn't chase static benchmark scores.

Instead, it aims directly at long-horizon life agents: a 512K context window, 16B active parameters, and a method called TEMPO that specifically tackles the RL training challenge of tasks spanning tens of hours.

While everyone else is racing to top the exams,
Xiaohongshu went ahead and raised an AI that actually knows how to live.

### 引用推文

> dots studio：Introducing dots3-note preview - a small but mighty step toward long-horizon agency in real life. 🔹 280B MoE with 16B active parameters, a 512K context window,...