# 高质量开源RL环境稀缺但价值巨大

- 来源：Nathan Lambert (@natolambert)
- 发布时间：2026-09-22 05:41
- AIHOT 分数：27
- AIHOT 链接：https://aihot.news/items/cmubscr1y05g8rociuycwonyw
- 原文链接：https://x.com/natolambert/status/2102151245318254849

## AI 摘要

强烈赞同。这种情况比我预期的要少得多——部分原因是构建高质量环境通常涉及相当昂贵的验证（测试强模型）。尽管如此，还可以有更多。

[@Thom_Wolf]：发布大量高质量的开源RL环境是当前任何人推动开源前沿所能做的最有影响力的事情

相当于分享高质量预训练数据，但在新的RLVR范式下

## 正文

Strong agree. There’s way less of this than I would expect — partially due to the fact that making a high quality environment usually involves fairly expensive verification (testing strong models). Still, there can be much more.

### 引用推文

> Thomas Wolf：releasing many high quality open-source RL environments is the most impactful thing anyone can do to push the open-source frontier right now the equivalent of s...