What does this research mean for the field?

The Landry AGI Model provides a theoretical framework that separates deterministic fact processing from probabilistic narrative generation to address the hallucination problem in Large Language Models. Novelty: ClaimNovelty.METHODOLOGICAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

The Landry AGI Model aims to resolve the hallucination problem in large language models by separating different processing types.

March 16, 2026Open Access

The Landry Agi Model: A Dual- Process Architecture for Grounded Artificial Intelligence

Key Points

The Landry AGI Model aims to resolve the hallucination problem in large language models by separating different processing types.
Introduces a dual-process architecture
Separates deterministic fact processing from probabilistic narrative generation
Formalizes the model as a theoretical framework
Provides a structured approach to mitigate hallucinations in AI outputs
Suggests enhanced accuracy in information retrieval
Promotes a clearer understanding of AI processing methods

Abstract

This paper formalizes the Landry AGI Model, a theoretical framework that addresses the hallucination problem in Large Language Models (LLMs) through the architectural separation of deterministic fact processing from probabilistic narrative generation.

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Discussion

Cite this study

Marie Seshat Landry (Sat,) studied this question.

www.synapsesocial.com/papers/69b79ea18166e15b153ac377 — DOI: https://doi.org/10.5281/zenodo.19016096

The Landry Agi Model: A Dual- Process Architecture for Grounded Artificial Intelligence

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Cite this study

Authors

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion