智谱创始人谈AI扩展：不止模型规模，GLM-5.3靠强化学习显著提升

Interesting take by the zAI (GLM-Models) founder: AI scaling is not over, but we just focused too much on model size.

For years, the industry mostly asked: How many parameters does a model have? But performance also depends on training data, inference compute and post-training.

GLM-5.3 is a very good example here. It reportedly uses the same base model, architecture and parameter count as GLM-5.2. The main change was one month of additional reinforcement learning, and the gains were very substantial.

In short: the focus should be placed more on the other potentials and not just on the size.