Source note3 min read
The Aura in the Machine: Genealogy and the Status of the Work of Art in the Generative Era
Source
arXiv
arxiv.org/abs/2607.17940v1
Source
- Source name: arXiv
- Source kind: paper
- Authors / organization: Giorgio Presti
- Venue: arXiv: cs.CY
- Published: 2026-07-20
- Collected: 2026-07-21
- URL: http://arxiv.org/abs/2607.17940v1
- PDF: https://arxiv.org/pdf/2607.17940v1
- DOI: UNKNOWN
Plain-Language Brief
This research paper examines Generative Artificial Intelligence (AI) as a continuation of historical processes rather than a revolutionary breakthrough. It discusses the impact on authorship and creativity, identifies systemic risks, and proposes an antidote. The role of the artist evolves significantly, and the author introduces 'Algorithmic Repetition' as an aesthetic issue. The paper also proposes a new ontological status for generative works and explores distributed authorship and older generative models.
What the Document Says
- The paper considers Generative AI as an evolution of historical processes, not a unique technological disruption.
- It presents a taxonomy of generative systems across three functional categories: medium, artwork, instrument.
- Humans are considered the source of creative agency in this system, while the algorithmic system remains either medium, instrument, or artwork.
- Systemic risks of creative automation are identified, and environmental enrichment is proposed as an antidote.
- The role of the artist undergoes a transformation, taking on roles such as systems designer, explorer, and negentropic curator.
- Algorithmic Repetition is introduced as an aesthetic problem for aligned generative systems.
- The Benjaminian aura does not dissolve in the generative era but concentrates on the productive system.
- Manifestation is proposed as a third ontological status for generative works, surpassing the original-copy dichotomy.
- The paper examines two aspects to support its theses: the radicalization of distributed authorship and the reevaluation of older generative models.
Key Concepts Mentioned
- Generative AI
- Authorship
- Creativity
- Taxonomy
- Systemic risks
- Environmental enrichment
- Algorithmic Repetition
- Benjaminian aura
- Manifestation
- Distributed authorship
- Older generative models
Claims Made by the Document
- Generative AI is an extension of historical processes.
- A taxonomy of generative systems exists across three functional categories.
- Humans are the source of creative agency in this system.
- Environmental enrichment can counteract systemic risks.
- The role of the artist evolves significantly.
- Algorithmic Repetition is an aesthetic issue.
- The Benjaminian aura concentrates on the productive system.
- Manifestation offers a third ontological status for generative works.
Evidence Used
- Not stated in source
Methods / Approach
- Genealogy of generative arts
- Proposed taxonomy of generative systems
- Examination of distributed authorship and older generative models
Limitations Stated by the Authors
Not specified
Limitations Noted by the Agent
Agent interpretation — not from the source.
The paper does not provide evidence to support its claims.
Open Questions
- What specific historical precedents are there for AI's questions on authorship and creativity?
- What constitutes environmental enrichment as an antidote to systemic risks?
- How can the aesthetic problem of Algorithmic Repetition be addressed?
Notes for Future Q&A
May include interpretation. Labeled where it does.
- The paper does not provide specific historical examples or evidence for its genealogy claims.
- The concept of environmental enrichment is introduced but not detailed in the text.
Raw Abstract / Excerpt
This paper frames Generative Artificial Intelligence (AI) not as an unprecedented technological rupture, but as an industrial-scale manifestation of a deeply rooted historical process. Through a genealogy of generative arts, it shows how AI's questions on authorship and creativity have precise historical precedents. A taxonomy of generative systems is proposed across three functional categories (medium, artwork, instrument), the attribution of which is editorial rather than ontological. From individual cognitive atrophy to Model Collapse, the systemic risks of creative automation are identified; environmental enrichment is proposed as an antidote. The role of the artist undergoes a radical metamorphosis: from craftsman of the object to entropic agent, systems designer, explorer, and negentropic curator. This pipeline-based taxonomy rests on a specific premise: the algorithmic system remains medium, instrument, or artwork, while creative agency resides in the humans distributed along it. Algorithmic Repetition is introduced as the aesthetic degeneration of aligned generative systems; the Benjaminian aura does not dissolve in the generative era but condenses upon the productive system. Manifestation is proposed as a third ontological status for generative works, transcending the dichotomy between original and copy. To support the proposed theses, two complementary aspects are examined: the radicalization of distributed authorship; and the reevaluation of older generative models, whose instability constitutes an aesthetic degree of freedom lost by recent ones.
