# 中国开源模型成对齐研究主流基底

- 来源：Dongxi 东锡 NLP (@dongxi_nlp)
- 发布时间：2026-08-25 01:01
- AIHOT 分数：61
- AIHOT 链接：https://aihot.virxact.com/items/cmt7izwfj278bro73dudet2gh
- 原文链接：https://x.com/dongxi_nlp/status/2091933959969992775

## AI 摘要

对221个MATS对齐与安全项目的分析显示，2026年72%使用命名模型的项目采用中国开源权重模型，高于美国模型的54%；Qwen占66%，领先Llama（44%）和DeepSeek（32%）。闭源模型仍出现在90%项目中，多作为裁判、监控或前沿基线。中国开源模型正成为对齐研究的实验基底，而美国闭源模型仍是关键评估工具。

## 正文

I ran a similar analysis on 221 MATS alignment and safety projects.

In 2026, 72% of projects using named models use a Chinese open-weight family, versus 54% using an American one. Qwen appears in 66%, ahead of Llama at 44% and DeepSeek at 32%.

The interesting difference is that closed models still appear in 90% of these projects, often as judges, monitors, or frontier baselines.

Chinese open models are becoming the experimental substrate of alignment research, while closed American models remain key evaluation tools.

### 引用推文

> Nathan Lambert：Over the weekend I had Codex parse 500K arXiv AI/ML papers since ChatGPT to understand which open models are used for research. In 2024, ~30% of papers mentione...