From AGI to ASI
Summary
This paper explores potential pathways from artificial general intelligence (AGI) to artificial superintelligence (ASI), including scaling, paradigm shifts, recursive improvement, and multi-agent collectives, and emphasizes the need for interdisciplinary global preparation for transformative societal changes.
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Source: https://huggingface.co/papers/2606.12683 Authors:
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Abstract
Artificial general intelligence development may lead to artificial general superintelligence through multiple pathways, requiring interdisciplinary global preparation for transformative societal changes.
Over the last decade, building human-levelartificial general intelligencehas moved from far-fetched speculation to being a concrete next-decade target for many of the largest AI organisations. Achieving this goal would have profound and far-reaching impacts on human society, which raises many complex questions for the decade ahead. This report investigates how AI itself might continue to develop in a post-AGI world along the continuum of machine intelligence. The endpoint of this continuum,Universal AI, is theoretically well understood, which provides some formal grounding for the main focus of this report: the transition from human-level AGI toartificial general superintelligence, which, intuitively, can be understood as a system that is more intelligent and cognitively capable than large organisations of humans. After characterizing ASI, the report discusses four potential pathways from AGI to ASI: scaling AGI, AI paradigm shifts,recursive improvement, and ASI emerging from large-scalemulti-agent collectives. The report then discusses possible frictions and bottlenecks along these pathways. Determining whether the impact of these frictions will be negligible or substantial raises a number of concrete open research questions. Due to large uncertainties for predicting ASI progress, it cannot be ruled out that AI progress might continue to accelerate over the next years. This could imply that the image of a single transformative step change, caused by the introduction of human-level AGI into our society, could be inaccurate. More apt might be the prospect of a series of transformative societal changes caused by AI-enabled progress and breakthroughs across many areas of science and technology. Preparing for this prospect requires a massively interdisciplinary endeavour of global scope and interest.
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