Lingo: A Spatial-Linguistic Database for High-Performance Morphological Analysis

The current trajectory of AI, dominated by ever-larger transformer models, is on a collision course with fundamental physical and economic limits. This research challenges that trajectory by presenting a radical architectural alternative. We reject the notion that intelligence must emerge from opaque, trillion-parameter statistical models and instead return to first principles.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-25
DOI
https://doi.org/10.5281/zenodo.17196613
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Lingo: A Spatial-Linguistic Database for High-Performance Morphological Analysis

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

Lingo: A Spatial-Linguistic Database for High-Performance Morphological Analysis

article en

Abstract

The current trajectory of AI, dominated by ever-larger transformer models, is on a collision course with fundamental physical and economic limits. This research challenges that trajectory by presenting a radical architectural alternative. We reject the notion that intelligence must emerge from opaque, trillion-parameter statistical models and instead return to first principles.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 28%
Geochemistry and Geologic Mapping
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Lingo: A Spatial-Linguistic Database for High-Performance Morphological Analysis · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS