The disconnection between pelican quality and overall model quality is interesting. I initially assumed that since pre-training is when a model gets its general

The disconnection between pelican quality and overall model quality is interesting. I initially assumed that since pre-training is when a model gets its general skill that it happened around when RL started to really differentiate models. That is higher quality pre-trains result in higher quality pelicans, but RL is unlikely to touch pelican quality. However the fact that GLM 5.2 beats GPT 5.6 and Claude Fable puts a damper on that idea. My only guess is that GLM 5.2 was specifically RLed for SVG generation and that resulted in superior performance.