Are we on the brink of AGI?

Abstract

This analysis examines two potential timelines for the development of Artificial General Intelligence (AGI) - one slow and one fast - and establishes key indicators to determine which path humanity is following. The slow timeline sees AI progress hindered by data scarcity, limited model scaling, and difficulties in reasoning beyond neatly encapsulated problems, leading to incremental advances through 2035 without transformative impact. The fast timeline envisions rapid progress through synthetic data generation, AI-accelerated research, and breakthrough advances in continuous learning and real-world problem-solving, potentially achieving AGI by 2028. Several requirements for the fast timeline are identified, including sustained progress in reasoning capabilities, successful deployment of AI agents, ability to handle non-encapsulated tasks, geometric growth in computing infrastructure, and multiple major technical breakthroughs. The analysis establishes specific indicators to monitor in 2025-2026 that would signal progress toward rapid AGI development, while acknowledging that even in an accelerated scenario, transformative AGI is unlikely to emerge before 2028 without multiple unexpected breakthroughs and threshold effects. - AI-generated abstract