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.

This article discusses the need for new industrial policies to manage the transition to superintelligent AI. It emphasizes the importance of democratic processes in shaping AI's future, ensuring broad access and mitigating risks. The authors argue for proactive measures to ensure that AI benefits everyone and addresses potential disruptions to jobs and society.