mlsanityData to 14 Oct 2026

Is Writing Prompts Really Making Art?

arXiv 2301.13049 ↗First posted 26 Jan 2023cs.CY cs.AI cs.NEcited by 5

Not on the map. Why?

Abstract (arXiv)

In recent years Generative Machine Learning systems have advanced significantly. A current wave of generative systems use text prompts to create complex imagery, video, even 3D datasets. The creators of these systems claim a revolution in bringing creativity and art to anyone who can type a prompt. In this position paper, we question the basis for these claims, dividing our analysis into three areas: the limitations of linguistic descriptions, implications of the dataset, and lastly, matters of materiality and embodiment. We conclude with an analysis of the creative possibilities enabled by prompt-based systems, asking if they can be considered a new artistic medium.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 7 of its 31 references that are in the map. First posted on arXiv 26 Jan 2023.

Builds on

7 of 31 references.

References · 7

  1. 2017Attention Is All You Needcited by 60,361
  2. 2022Hierarchical Text-Conditional Image Generation with CLIP Latentscited by 6,585
  3. 2018A Style-Based Generator Architecture for Generative Adversarial Networkscited by 6,013
  4. 2022Make-A-Video: Text-to-Video Generation without Text-Video Datacited by 1,742
  5. 2022Talking About Large Language Modelscited by 175
  6. 2021Understanding and Creating Art with AI: Review and Outlookcited by 60
  7. 2021Embodiment and Computational Creativitycited by 3

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2023: 1; 2024: 3; 2025: 0; 2026: 1.

5 papers.