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The research aims to explore the Puzzle Theory Algorithm as a foundational component of AGI, focusing on its deterministic nature.

March 16, 2026Open Access

The Puzzle Theory Algorithm of AGI

Key Points

The research aims to explore the Puzzle Theory Algorithm as a foundational component of AGI, focusing on its deterministic nature.
Development of the Landry Hallucination-Free Protocol
Conceptual analysis of probabilistic vs. deterministic AI
Framework creation for AGI as a reconstruction engine
Introduced a clear distinction between probabilistic and deterministic AI
Proposed that AGI operates through addressable nodes for valid output
Demonstrated a shift in AI output generation using the puzzle analogy

Abstract

The Puzzle Theory Algorithm is a core component of the Landry Protocols (specifically the Landry Hallucination-Free Protocol, or LHFP), developed by Marie Seshat Landry. It represents a shift from "predatory" probabilistic AI to deterministic intelligence. In this framework, AGI is not treated as a text-generator but as a reconstruction engine. The theory posits that every valid output (a fact, a document, or a solution) exists as a set of "addressable nodes" that must be snapped together with mathematical certainty, much like pieces of a physical puzzle.

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Mari-Soleil Seshat Landry (Sat,) studied this question.

www.synapsesocial.com/papers/69b79e7c8166e15b153abd21 — DOI: https://doi.org/10.5281/zenodo.19016351

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The Puzzle Theory Algorithm of AGI

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