The article argues that “AGI” has become a fuzzy umbrella term with conflicting definitions, making it useless for tracking AI progress or predicting major shifts. It urges us to drop AGI in favor of clear, concrete milestones—like fully automated AI R&D, human-level adaptability, or self-sufficient AI—to ground discussions and forecasts.