From AGI to ASI

This report from Google DeepMind explores the hypothetical transition from Artificial General Intelligence (AGI), which matches human capability, to Artificial Superintelligence (ASI), which far exceeds it. The authors outline four primary technological pathways to achieve this: quantitative scaling, algorithmic paradigm shifts, recursive self-improvement, and multi-agent coordination. While current growth in effective compute suggests rapid progress, the text identifies significant frictions such as the "data wall," economic resource limits, and the "abstraction barrier" that may bound machine intelligence. The report also provides a formal grounding for superintelligence through the Universal AI framework and the Legg-Hutter measure of intelligence...