Hoffmann et al.

Zhipu AI released GLM-5.3, a controlled experiment showing that scaling post-training with RL for one month, while keeping base architecture and parameters identical to GLM-5.2, yields significant cap…

A developer's analysis of scaling laws for large language models shows that the Chinchilla rule of about 20 training tokens per parameter is often treated as a fixed target, but recent scrutiny sugges…