The Forbidden Fruit Has Returned, and This Time Everyone Can Pluck It: The Role of Language Models in the New Balance Between Knowledge, Power, and Responsibility

Large Language Models (LLMs) such as GPT-4o and Claude are not merely computational tools but transformative infrastructures reshaping humanity’s relationship with knowledge. Drawing on the biblical metaphor of the Tree of Knowledge, this paper explores the epistemological, ethical, and anthropological implications of LLMs. It develops the paradox of “knowledge without experience,” examines the fragmented governance behind these systems, and highlights risks of bias, epistemic anarchy, and selective democratization. It also addresses the co-evolution of language, the performative power of algorithmic outputs, and the erosion of traditional epistemic authorities. Ultimately, the paper argues that the fundamental issue is not technological but human: how we choose to engage with these systems, and what kind of humanity we are becoming in dialogue with a mirror that reflects our words without ever breathing.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-08
DOI
https://doi.org/10.5281/zenodo.17074900
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The Forbidden Fruit Has Returned, and This Time Everyone Can Pluck It: The Role of Language Models in the New Balance Between Knowledge, Power, and Responsibility

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

The Forbidden Fruit Has Returned, and This Time Everyone Can Pluck It: The Role of Language Models in the New Balance Between Knowledge, Power, and Responsibility

article en

Abstract

Large Language Models (LLMs) such as GPT-4o and Claude are not merely computational tools but transformative infrastructures reshaping humanity’s relationship with knowledge. Drawing on the biblical metaphor of the Tree of Knowledge, this paper explores the epistemological, ethical, and anthropological implications of LLMs. It develops the paradox of “knowledge without experience,” examines the fragmented governance behind these systems, and highlights risks of bias, epistemic anarchy, and selective democratization. It also addresses the co-evolution of language, the performative power of algorithmic outputs, and the erosion of traditional epistemic authorities. Ultimately, the paper argues that the fundamental issue is not technological but human: how we choose to engage with these systems, and what kind of humanity we are becoming in dialogue with a mirror that reflects our words without ever breathing.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 50%
Geochemistry and Geologic Mapping
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.