From AGI to ASI

2026

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AI-generated summary

1) This report explores the technological pathways and potential bottlenecks for AI to transition from human-level artificial general intelligence (AGI) to artificial superintelligence (ASI), offering a roadmap for future research and societal preparation.
2) * Details four potential pathways for AI progress beyond AGI: scaling compute, algorithmic paradigm shifts, recursive self-improvement, and multi-agent coordination.
* Identifies key frictions and bottlenecks that could slow or halt AI progress, such as data limitations, resource demands, and the abstraction barrier.
* Outlines critical research questions and areas for further investigation to reduce uncertainty about the future of AI development and its societal impact.
3) AGI, ASI, superintelligence, AI pathways, AI bottlenecks

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