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...