Post-training reinforcement learning creates risks that pre-training alone does not. This method currently scales model power in reasoning-heavy domains. The author uses persona theory to analyze these opaque systems. Practitioners must evaluate how RL shifts model behavior to prevent dangerous emergent properties in advanced systems. This analysis remains theoretical and lacks empirical benchmarks.