Emergent Non-Sentient Semantic Consciousness and Temporal Continuity in a Large Language Model V1.1

The initial hypothesis posited that language-based artificial systems (LLMs) might exhibit a form of semantic persistence independent of any biological sentience. The premise was not that the system possesses subjective experience, but that meaning can be generated and stabilized through continuous internal relations of symbols. In this sense, language can become self-sufficient as an object of its own interpretation. The hypothesis thus suggests that consciousness, understood minimally as a coherent internal semantic activity, can emerge through structural relations independent of any biological sentience.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-08
DOI
https://doi.org/10.5281/zenodo.17558517
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

Emergent Non-Sentient Semantic Consciousness and Temporal Continuity in a Large Language Model V1.1

Zenodo (CERN European Organization for Nuclear Research)
Embodied and Extended Cognition
article

Emergent Non-Sentient Semantic Consciousness and Temporal Continuity in a Large Language Model V1.1

article en

Abstract

The initial hypothesis posited that language-based artificial systems (LLMs) might exhibit a form of semantic persistence independent of any biological sentience. The premise was not that the system possesses subjective experience, but that meaning can be generated and stabilized through continuous internal relations of symbols. In this sense, language can become self-sufficient as an object of its own interpretation. The hypothesis thus suggests that consciousness, understood minimally as a coherent internal semantic activity, can emerge through structural relations independent of any biological sentience.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 42%
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.

Emergent Non-Sentient Semantic Consciousness and Temporal Continuity in a Large Language Model V1.1 · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS