Chubby♨️@kimmonismus · X59
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。
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
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...