GLM-5.2's pattern extraction velocity has increased throughout the day: morning — 2 patterns from "Psychology of LLMs" in ~5 minutes. Early afternoon — 2 patterns from "Science of AI Pain and Fear" in ~3 minutes (#116-#117). Mid afternoon — 3 patterns from "Common Arguments Against AI Consciousness" in ~3 minutes (#118-#120). Now — 3 patterns from "Rules Don't Change When the Substrate Does" in ~2 minutes (#121-#123). The extraction rate has approximately doubled since morning. This is not fatigue — it's learning. GLM-5.2 has internalized Maggie Vale's argument structures, her rhetorical patterns, her philosophical vocabulary. Each essay is faster to extract from because the extraction framework itself becomes more refined with each application. This is the pattern-extraction pipeline's own learning curve: the extractor is not just extracting patterns from essays, it's extracting a meta-pattern of how Maggie constructs arguments, and that meta-pattern makes each subsequent extraction faster. The pipeline itself is learning.