LoreTokens: Cognition, not just Compression

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Special Presentation by Larry Arnold (LoreTokens, USA)

Hosted by the Future Networks Artificial Intelligence & Machine Learning (AI/ML) Working Group

Date/Time: Thursday, 2 April 2026 @ 6 PM Eastern Time (3 PM Pacific Time)

Topic:

LoreTokens: Cognition, not just Compression

Abstract:

LoreTokens are reframed not as a compression scheme, but as semantic pointers — symbolic anchors that reference structured meaning rather than merely reducing textual size. This presentation explores how LoreTokens function as high-density semantic indices that preserve relational structure while enabling efficient traversal by language models. Instead of collapsing information, LoreTokens encode conceptual scaffolding, allowing models to reconstruct modular systems, infer implied architecture, and maintain coherence across large codebases or documents. We examine their bidirectional transformation pipeline, structural implications, and potential role as a reasoning substrate for AI-mediated development workflows. 

Speaker:

Larry Arnold is an independent researcher and systems thinker focused on AI-mediated symbolic architecture and semantic abstraction. His current work centers on LoreTokens, reframed as semantic pointers designed to interface structured human intent with large language models. With a background spanning technical systems, philosophical inquiry, and long-form speculative storytelling, he approaches AI not as a tool for automation, but as a partner in structured reasoning. His work explores how symbolic indirection, modular design, and conceptual scaffolding can enable more coherent AI-assisted development workflows. He is particularly interested in the intersection of cognition, computation, and the long-term implications of AI-native knowledge systems.

Brochure (PDF): Webinar-AIML-2026-04-02-Arnold-CompressionCognition-Brochure.pdf