Art and Language After AI
By ingesting a vast corpus of source material, generative deep learning models are capable of encoding multi-modal data into a shared embedding space, producing synthetic outputs which cannot be decomposed into their constituent parts. These models call into question the relation of conceptualisatio...
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| Format: | Article |
| Language: | English |
| Published: |
Radboud University Press
2024-07-01
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| Series: | Technophany |
| Subjects: | |
| Online Access: | https://technophany.philosophyandtechnology.network/article/view/17759 |
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