Year: 2025
Type: article
Abstract: This paper explores a counterfactual scenario (CW) in which large language models (LLMs) produce philosophical texts that are epistemically indistinguishable from those authored by humans. Building from this scenario, I develop three interconnected arguments about the institutional, rhetorical, and conceptual implications of such a world: (1) a paradox of obsolescence, in which the same indistinguishability that motivates the use of LLMs undermines the evaluative structures that make their use meaningful; (2) a paradox of rhetorical saturation, in which the formal capacity to justify any claim by accepted standards reveals the limits of justification as a normative concept; and (3) a paradox of dialogical return, in which the loss of meaningfully authored philosophical texts drives a renewed emphasis on dialogical understanding over argumentative finality. The conclusion suggests that CW is less a speculative fiction than a diagnostic mirror, reflecting unacknowledged tensions in the current philosophical paradigm.
Source: Discover Artificial Intelligence
Author: Leonhard Schütz-Bauer
Institution: University of Vienna
Language: English
Subfield: Safety Research
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $1,590
Funder: Universität Wien
OpenAlex ID: W4417100380