Meaning and Language in Artificial Intelligence’s own  Linguistic Turn

Bruno Caldas Vianna

doi:10.60522/o:7213

Meaning and Language in Artificial Intelligence’s own Linguistic Turn

Title (eng)

Meaning and Language in Artificial Intelligence’s own Linguistic Turn

Author

Bruno Caldas Vianna

Universitat Politècnica de Catalunya

Description (eng)

This paper examines the rapid development of generative visual artificial intelligence, particularly text-to image models, through the lens of 20th-century philosophy of language. It contrasts the one-to-one symbolic representation reminiscent of early Wittgenstein and traditional AI with the subsymbolic, conceptual synthesis found in modern neural networks like CLIP and diffusion models. The paper traces the technological evolution from GANs to diffusion, analyzing the implications for creativity, originality, and the machine's capacity for metaphor. It argues that while current models can visually render complex concepts by learning from vast datasets, they struggle with true abductive reasoning and novel metaphor creation, thus highlighting the persistent limits of machine understanding when compared to human language.

Keywords (eng)

Generative AIText-to-Image ModelsPhilosophy of LanguageComputational SemanticsNeural Networks

Subject (eng)

ÖFOS 2012 -- 5080 -- Media and Communication Sciences

Subject (eng)

ÖFOS 2012 -- 202022 -- Information technology

Subject (eng)

ÖFOS 2012 -- 202002 -- Audiovisual media

Subject (eng)

ÖFOS 2012 -- 6040 -- Arts

Type (eng)

conference object