The Future of Agents is Perhaps There is No Agent: Towards a Field-Centric AI Paradigm

The agent-centric paradigm dominates current AI research and engineering, envisioning intelligence as collections of autonomous entities that reason, plan, and collaborate. However, this approach leads to escalating complexity in orchestration, state management, and security risks. To mitigate that, we propose a field-centric paradigm which we call “Aether Field”, where agents do not exist as persistent entities. Instead, intelligence emerges as transient surges within a unified field. The “Aether Portal” serves as the human interface, itself also a transient surge. This shift, inspired by quantum field theory, offers a possible alternative to the dominant paradigm. We discuss the paradigm’s foundations, architecture, and implications, concluding with open questions and a prototype sketch.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-23
DOI
https://doi.org/10.5281/zenodo.19171790
Primary Topic
Innovation, Sustainability, Human-Machine Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

The Future of Agents is Perhaps There is No Agent: Towards a Field-Centric AI Paradigm

Wanghao SANG
Zenodo (CERN European Organization for Nuclear Research)
Innovation, Sustainability, Human-Machine Systems
article

The Future of Agents is Perhaps There is No Agent: Towards a Field-Centric AI Paradigm

Wanghao SANG
article en

Abstract

The agent-centric paradigm dominates current AI research and engineering, envisioning intelligence as collections of autonomous entities that reason, plan, and collaborate. However, this approach leads to escalating complexity in orchestration, state management, and security risks. To mitigate that, we propose a field-centric paradigm which we call “Aether Field”, where agents do not exist as persistent entities. Instead, intelligence emerges as transient surges within a unified field. The “Aether Portal” serves as the human interface, itself also a transient surge. This shift, inspired by quantum field theory, offers a possible alternative to the dominant paradigm. We discuss the paradigm’s foundations, architecture, and implications, concluding with open questions and a prototype sketch.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 17%
Innovation, Sustainability, Human-Machine Systems
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The Future of Agents is Perhaps There is No Agent: Towards a Field-Centric AI Paradigm — Wanghao SANG · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS