Open Access
The Transformative Trajectory Of Large Language Models: Societal Impact, Predictive Limitations, And The Unforeseen Geohazard Nexus
4
Department of Computational Geosciences, Alpine Institute of Predictive Science, Zurich, Switzerland
4
Faculty of Advanced Machine Learning, Westbridge Institute of Science & Technology, Wellington, New Zealand
Abstract
Background: Large Language Models (LLMs) represent a significant leap in artificial intelligence, transforming fields from computing to content generation.Their rapid success highlights AI's potential but also exposes critical limitations in modeling complex, high-stakes, real-world phenomena. This study investigates the dual impact of LLMsâtheir technological triumph and the resulting, urgent need to improve models for non-AI-centric, complex systems.
Methods: We first conducted a review of the transformative trajectory of LLMs, then performed a quantitative spatio-temporal analysis of geophysical data, comparing long-term rising sea level trends with recorded seismic activity in selected coastal regions. We subsequently benchmarked established predictive models against this geophysical dataset to assess their forecasting efficacy.
Results: LLMs have achieved unprecedented efficiency and integration. Critically, the geophysical analysis revealed a significant correlation between rising coastal sea levels and an acceleration in seismic events. Specifically, the data shows a distinct, statistically significant 5% increase in seismic events since 2020 in the study areas. Furthermore, the benchmark testing demonstrates that current predictive models are insufficient to accurately forecast this observed acceleration.
Conclusion: The success of LLMs underscores the power of large-scale AI, yet their limitations in complex predictive tasks reveal a critical gap. The alarming link between sea level rise and increased seismic activity, coupled with the proven inadequacy of current predictive models, necessitates a paradigm shift toward physically-informed AI architectures to safeguard coastal populations.
Keywords
Large Language Models (LLMs),
Seismic Activity,
Rising Sea Levels,
Predictive Modeling
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