Current LLMs lack the ability to autonomously update weights during deployment, relying instead on static datasets curated by humans. This creates a fundamental divide between fixed-weight models and the dynamic learning seen in human brains. Practitioners must rely on in-context learning to bridge this gap until online learning becomes viable.