# GLM 5.2 持续获胜

- 来源：Chubby♨️ (@kimmonismus)
- 发布时间：2026-06-23 03:38
- AIHOT 分数：59
- AIHOT 链接：https://aihot.virxact.com/items/cmqpmzf9p01zuslp544jsmjuc
- 原文链接：https://x.com/kimmonismus/status/2069143081723519370

## AI 摘要

Kim指出，GLM 5.2是首个能以开放权重处理真实自动研究任务的模型，包括调试设置、跨多节点H100集群运行并比较RL训练实验。其局限在于缺少图像理解能力，需程序化分析原始WandB数据而非可视化图表。引用介绍称，GLM 5.2是其自动研究pipeline上首个能胜任实际研究的开源模型，在Fable 5对研究设限的背景下意义重大。演示中，它基于SkyRL在两台8×H100节点上完成Harbour代码竞赛的完全异步vs同位置同步RL训练，自动解决设置问题并生成吞吐量与奖励稳定性对比。

## 正文

GLM 5.2 keeps on winning

GLM 5.2 is emerging as the first open-weights model capable of handling meaningful autoresearch tasks, from debugging setup issues to running and comparing RL training experiments across multi-node H100 clusters.

The big caveat: it lacks image understanding, so unlike Opus or Fable, it has to analyze raw WandB data programmatically rather than visually interpreting charts.

Still: while we are waiting for the come back of. Fable 5, zAI really nailed it with GLM 5.2

### 引用推文

> alphaXiv：Introducing GLM 5.2 for autoresearch GLM 5.2 is the first open weights model we've tried on our autoresearch pipeline that's proven capable for real research ta...