Measured GLM 5.3｜Return to open source national model number one brother

Long-range scheduling, Agent Loop, these two words have been shouted in the circle for more than half a year, and you can see them in any technical community. At first glance, they sound quite bluffing. Translated, it’s actually just one sentence: let AI break down a big thing into many steps, complete it step by step, and remember why it is doing it in the middle. In the past few months, DeepSeek, Kimi, and Qwen have all been verifying this route. Today Zhipu also released GLM-5.3. The official said that through the ultimate post-training Scaling: dozens of times the long-range task environment, richer and more diverse environment types, and ultra-long post-training time, the intelligent upper bound of the model has been greatly improved. With this release of GLM-5.3, let us also take it apart to see what long-range scheduling is used for, and how to write it yourself.