"Long" timelines to advanced AI have gotten crazy short

Abstract

Historical distinctions between short and long timelines for the development of human-level artificial intelligence (AI) have largely collapsed as expert consensus shifts toward the near future. While forecasts of advanced AI within two decades were once considered speculative, current projections from industry leaders and traditional skeptics now converge on a window ranging from three to twenty years. This compression of timelines renders the dismissal of transformative AI as science fiction increasingly untenable, as even conservative estimates suggest human-level capabilities may emerge within the next two decades. Such a trajectory necessitates immediate investment in technical and policy mitigations. Priority must be given to advancing the sciences of AI measurement, interpretability, and alignment to ensure highly capable systems can be safely controlled. Additionally, the establishment of independent verification ecosystems, international safety consensus, and increased governmental technical capacity is required to manage the profound societal shifts associated with transformative technology. Because the timeframe for these developments is likely shorter than previously anticipated, the window for building necessary safety infrastructure and regulatory frameworks is narrow, requiring proactive action across the scientific and political communities. – AI-generated abstract.