A predictive human model of language challenges traditional views in linguistics and pretrained transformer research DOI Creative Commons
Sergio Torres–Martínez

Language and Semiotic Studies, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 21, 2024

Abstract This paper introduces a theory of mind that positions language as cognitive tool in its own right for the optimization biological fitness. I argue human reconstruction reality results from memory and adaptation to uncertain environmental conditions reaffirmation Self-as-symbol. demonstrate pretrained models, such ChatGPT, lack embodied grounding, which compromises their ability adequately model world through due absence subjecthood conscious states event recognition partition. At deep level, challenge notion constitution semiotic Self relies on computational reflection , arguing against reducing representation data structures emphasizing importance positing accurate models language. underscores distinction between transformers posthuman agents humans purposeful agents, emphasizes capacity adjustment optimization. One main conclusions this is integrate information does not amount phenomenal consciousness argued by Information Integration Theory . Moreover, while exhibit superior capacity, they real providing them with multiscalar experience anchored physical world, characteristic cognition. However, anticipates emergence new silico conceptualizers capable defining themselves symbolic contours specific goals.

Язык: Английский

Dehumanizing the human, humanizing the machine: organic consciousness as a hallmark of the persistence of the human against the backdrop of artificial intelligence DOI
Sergio Torres–Martínez

AI & Society, Год журнала: 2025, Номер unknown

Опубликована: Янв. 28, 2025

Язык: Английский

Процитировано

0

A predictive human model of language challenges traditional views in linguistics and pretrained transformer research DOI Creative Commons
Sergio Torres–Martínez

Language and Semiotic Studies, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 21, 2024

Abstract This paper introduces a theory of mind that positions language as cognitive tool in its own right for the optimization biological fitness. I argue human reconstruction reality results from memory and adaptation to uncertain environmental conditions reaffirmation Self-as-symbol. demonstrate pretrained models, such ChatGPT, lack embodied grounding, which compromises their ability adequately model world through due absence subjecthood conscious states event recognition partition. At deep level, challenge notion constitution semiotic Self relies on computational reflection , arguing against reducing representation data structures emphasizing importance positing accurate models language. underscores distinction between transformers posthuman agents humans purposeful agents, emphasizes capacity adjustment optimization. One main conclusions this is integrate information does not amount phenomenal consciousness argued by Information Integration Theory . Moreover, while exhibit superior capacity, they real providing them with multiscalar experience anchored physical world, characteristic cognition. However, anticipates emergence new silico conceptualizers capable defining themselves symbolic contours specific goals.

Язык: Английский

Процитировано

1