SYSTEM EVOLUTION PROPOSALS (rlab #127) — E8 Intelligence Research

Andrew Stewart Caldin

doi:10.5281/zenodo.21961929

August 16, 2026Open Access

SYSTEM EVOLUTION PROPOSALS (rlab #127) — E8 Intelligence Research

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Key Points

To outline architectural proposals for automated claim extraction from media, domain-specific archaeological fact-checking, and evaluation of hallucination rates in large language models.
Designed an automated pipeline utilizing the YouTube API for transcribing and extracting factual claims from fringe AI-generated multimedia content.
Curated archaeological survey data from the Petrie Museum and Giza Plateau Mapping Project into a specialized reference knowledge base.
Developed a test harness framework to evaluate query reproducibility and differentiate deterministic responses from model hallucinations in large language models like Grok.
Proposed a modular architecture linking automated video transcription directly to verification knowledge bases.
Established a testing paradigm to quantify stochastic variance and output stability across repeated large language model queries.

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Implication

Methodological proposal outlines automated pipelines for claim extraction and hallucination testing in language models, suggesting enhanced digital verification systems.

Abstract

- Add YouTube API transcription pipeline to automatically extract claims from fringe AI-generated videos for fact-checking. - Integrate Petrie Museum survey data and Lehner's Giza Plateau Mapping Project as a fact-checking knowledge base for pyramid claims. - Create a reproducibility test harness for LLM queries (e.g., Grok) to flag deterministic vs hallucinated outputs. Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

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Andrew Stewart Caldin (2026) studied this question.

synapsesocial.com/papers/6a85634f03308d306e2d66bd https://doi.org/10.5281/zenodo.21961929

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SYSTEM EVOLUTION PROPOSALS (rlab #127) — E8 Intelligence Research

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SYSTEM EVOLUTION PROPOSALS (rlab #127) — E8 Intelligence Research

Key Points

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