From AGI to ASI

Hugging Face Daily Papers Papers

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.

Over the last decade, building human-level artificial general intelligence has 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 to artificial 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-scale multi-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.
Original Article
View Cached Full Text

Cached at: 06/15/26, 09:05 AM

Paper page - From AGI to ASI

Source: https://huggingface.co/papers/2606.12683 Authors:

,

,

,

,

,

,

,

,

,

,

,

,

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.

View arXiv pageView PDFAdd to collection

Get this paper in your agent:

hf papers read 2606\.12683

Don’t have the latest CLI?curl \-LsSf https://hf\.co/cli/install\.sh \| bash

Models citing this paper0

No model linking this paper

Cite arxiv.org/abs/2606.12683 in a model README.md to link it from this page.

Datasets citing this paper0

No dataset linking this paper

Cite arxiv.org/abs/2606.12683 in a dataset README.md to link it from this page.

Spaces citing this paper0

No Space linking this paper

Cite arxiv.org/abs/2606.12683 in a Space README.md to link it from this page.

Collections including this paper1

Similar Articles

From AGI to ASI

arXiv cs.AI

A Google DeepMind research report explores the transition from human-level artificial general intelligence (AGI) to artificial superintelligence (ASI), discussing potential pathways such as scaling, paradigm shifts, recursive improvement, and multi-agent collectives, as well as bottlenecks and open research questions.

Planning for AGI and beyond

OpenAI Blog

OpenAI outlines its strategy for preparing for AGI, emphasizing gradual deployment with real-world feedback loops, increasing caution as systems approach AGI capabilities, and development of better alignment techniques to ensure AI systems remain steerable and safe.

Position: Agentic AI System Is a Foreseeable Pathway to AGI

arXiv cs.AI

This paper argues that monolithic scaling of a single model is insufficient for achieving AGI and proposes Agentic AI with multi-agent collaboration as a necessary paradigm, demonstrating theoretically that agentic systems achieve exponentially superior generalization and sample efficiency.