Epistemic Drift in Mind-Model Systems

LLMs have been shown to induce representations akin to real-world information structures. According to the standard account, this is because LLMs model the human mind, and minds model the world. Thus, LLMs and minds share properties that ultimately converge upon similar structures. We contribute to this discourse in two ways: a) We argue for an alternative account: LLMs model minds, and minds model worlds, but minds also model LLMs, which in turn extend the capacities of minds. In sum, the world-mind-LLM system constitutes a three-player game, which b) we show does not necessarily converge. We explore the epistemological consequences of non-convergence for world-mind-model systems, introducing the concept of epistemic drift. We offer a new explanatory account of epistemic drift as a social phenomenon, and explore the potential safety concerns of epistemic drift with the introduction of LLMs. Finally, we contribute to existing discourse surrounding LLM agency, arguing that agency is not found in the content of LLM output, but in the way they functionally interact with minds.

Authors

Institutions

Publication Details

Journal
Minds and Machines
Published
2026-03-13
DOI
https://doi.org/10.1007/s11023-026-09772-1
Primary Topic
Embodied and Extended Cognition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Epistemic Drift in Mind-Model Systems

Nina Rajcic, Anders Søgaard, Ava Elizabeth Scott
Minds and Machines
Embodied and Extended Cognition
article

Epistemic Drift in Mind-Model Systems

Nina Rajcic, Anders Søgaard, Ava Elizabeth Scott
article en

Abstract

LLMs have been shown to induce representations akin to real-world information structures. According to the standard account, this is because LLMs model the human mind, and minds model the world. Thus, LLMs and minds share properties that ultimately converge upon similar structures. We contribute to this discourse in two ways: a) We argue for an alternative account: LLMs model minds, and minds model worlds, but minds also model LLMs, which in turn extend the capacities of minds. In sum, the world-mind-LLM system constitutes a three-player game, which b) we show does not necessarily converge. We explore the epistemological consequences of non-convergence for world-mind-model systems, introducing the concept of epistemic drift. We offer a new explanatory account of epistemic drift as a social phenomenon, and explore the potential safety concerns of epistemic drift with the introduction of LLMs. Finally, we contribute to existing discourse surrounding LLM agency, arguing that agency is not found in the content of LLM output, but in the way they functionally interact with minds.

Minds and MachinesVol. 36(1)
University of Copenhagen (DK)
Openalex Percentile: Top 28%
Embodied and Extended Cognition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Epistemic Drift in Mind-Model Systems — Nina Rajcic, Anders Søgaard, et al. · Minds and Machines (2026) | TGRS Research Map | TGRS