Z.ai delays GLM-5.3 weights after cyber capability tests
Z.ai announced GLM-5.3, a general-purpose coding model trained further on cybersecurity tasks. It reported 84.5% on CyberGym and 54.4% on ExploitBench, delayed public weights for roughly two weeks of safety work, and limited sensitive capabilities to verified users.
Why it matters: An open-weight model with stronger vulnerability discovery can widen defensive access while lowering the cost of scaling reconnaissance and exploit development.