Generative AI and Human Cognition

Abstract

Can AI Large Language Models like ChatGPT actually understand what they are saying? If not, how do they manage to convey the appearance of understanding? What is "understanding" anyway? I thought it might be interesting to explore these questions with ChatGPT itself. What ensued was a wide-ranging dialogue that touched upon the nature of meaning, language, cognition, the brain, human existential striving, the proper place of AI, and, ultimately, the metaphysics of consciousness. The aim throughout was to become clear about the similarities - and profound dissimilarities - between LLMs and human cognition. This work is a transcript of that dialogue.

Other Versions

No versions found

Links

PhilArchive

External links

  • This entry has no external links. Add one.
Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

  • Only published works are available at libraries.

Similar books and articles

Do Large Language Models Hallucinate Electric Fata Morganas?Kristina Šekrst - 2025 - Journal of Consciousness Studies 32 (11):96-120.
Are You Anthropomorphizing AI?Ali Hasan - 2024 - Blog of the American Philosophical Association.

Analytics

Added to PP
2026-05-12

Downloads
158 (#264,308)

6 months
158 (#84,176)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Richard Oxenberg
Emory University (PhD)

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references