| id |
acadia21_564 |
| authors |
Pellicano, Emily; Sturken, Carlo |
| year |
2021 |
| title |
GPT-OA; Generative Pretrained Treatise--On Architecture |
| source |
ACADIA 2021: Realignments: Toward Critical Computation [Proceedings of the 41st Annual Conference of the Association of Computer Aided Design in Architecture (ACADIA) ISBN 979-8-986-08056-7]. Online and Global. 3-6 November 2021. edited by B. Bogosian, K. Dörfler, B. Farahi, J. Garcia del Castillo y López, J. Grant, V. Noel, S. Parascho, and J. Scott. 564-571. |
| doi |
https://doi.org/10.52842/conf.acadia.2021.564
|
| summary |
Technological advancements throughout the industrial era have created more efficient, more economical, and safer machines to aid – and often replace – human operations, continually altering our ways of knowledge and world making. Each industrial advancement radically changes social, political, economic, environmental, and even linguistic conditions. Currently upon us is artificial intelligence (AI); machine to human and machine to machine communications. Our investigation examines AI as a creative tool, instead of a machine for industry. Recent advancements in natural language processing have made artificially intelligent machines, specifi cally Generative Pretrained Transformers (GPT), a potential active partici-
pant in a creative computational discourse. Our particular interest in GPT, and the core of this project, explores the role of language in machine learning and the role of the author and editor within a continually expanding network of agents in the construction of our collective environments. |
| series |
ACADIA |
| type |
field note |
| email |
|
| references |
Content-type: text/plain
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| last changed |
2023/10/22 12:06 |
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