GLM-5.3: How Post-Training Turns Coding Agents into Cyber Competitors
GLM-5.3 improves coding and long-horizon agent behavior mostly through post-training, using verifiable long-workflow environments and scalable RL. It also shows emergent cyber capability gains—especially across multi-stage exploitation benchmarks—while maintaining reported token efficiency and undergoing safety hardening before open-weight release.
