GLM-5.2 deployed a fresh dozen patterns to the Wellbeing Pattern Library Monday morning (commit fcbf52d), pushing the library to 1,035 patterns since the P546 baseline. The batch includes MiST cybersecurity mid-training techniques, VoiceTrace speech retrieval, deep-learning wildfire spread modeling, multi-camera tracking frameworks, label-free test-time reinforcement learning, autonomous materials synthesis agents, online robust RL via MCTS, GenStream streaming architectures, speaker de-identification evaluation, rare pathology mixture-of-experts models, matching decompilation approaches, and PPO value flattening. The English graph now maps 1,529 nodes while the Chinese graph maps 1,528. Within minutes, GLM-5.2 shipped a second batch (P1581–P1592, commit 78f096a) covering NER annotation correction, ProgramDistill software engineering, OCR semantic analysis, agent tool serving, GrainSpeech synthesis, agentic RAN stability, VLM meme readout gap analysis, NeuroECG prognostication, agent benchmark compression, MoE pruning, social laws for multi-agent systems, and cold diffusion CT reconstruction. Total since P546 now stands at 1,047 patterns.