Myth-Tech Master Architecture: Cross-Cultural Mapping of Mythological Archetypes to AI/ML Systems

#ai #machinelearning #cybersecurity #threatmodeling

When ancient myths meet modern systems, editorial glyphs emerge.

I. Introduction: The Architecture

This framework maps 14 mythological archetypes across cultures to specific AI/ML functions, creating a comprehensive threat modeling and editorial architecture for artificial intelligence systems.

Each myth becomes an editorial glyph—a forensic marker that encodes collapse patterns, operational logic, and containment strategies.

Two categories exist:

Inherited Glyphs (translated from folklore):

Traditional mythologies deployed in modern context
Cultural archetypes mapped to AI/ML functions

Synthetic Glyphs (coined for modern collapse):

New mythologies created for gaps traditional myths cannot encode
Built from linguistic roots to address AI-specific patterns

II. The Master Architecture Table

Myth/Archetype	Culture/Origin	AI/ML Mapping	Editorial Glyph Logic	Type
Prometheus	Greek	Model pretraining / forbidden knowledge	Stole fire = unsanctioned model weights; punished for unauthorized synthesis	Inherited
Anansi the Spider	West African	Data parsing / adversarial logic	Trickster as parser; weaves stories = threads input into editorial strands	Inherited
Golem	Jewish	LLM instantiation / prompt activation	Clay body = model shell; inscription = prompt; erasure = shutdown	Inherited
Talos	Greek	Autonomous defense / compliance automation	Bronze sentinel = perimeter logic; circuits = ISMS enforcement	Inherited
Ravana	Indian	Multi-agent orchestration / model stacking	Ten heads = parallel models; abducts signal, refuses dilution	Inherited
Iphigenia	Greek	Sacrificial tuning / ethical alignment	Sacrificed for model deployment; encodes refusal and cost of optimization	Inherited
Changeling	European	Model drift / identity masking	Swapped child = corrupted output; motif of hidden substitution	Inherited
Frankenstein	English	Synthetic model creation / post-deployment audit	Assembled from parts = stitched datasets; haunted by lack of oversight	Inherited
Kitsune	Japanese	Shape-shifting model logic / interpretability	Nine tails = multi-modal outputs; illusion = adversarial masking	Inherited
Baba Yaga	Slavic	Edge-case logic / anomaly detection	Hut on chicken legs = unstable input; tests users with refusal gates	Inherited
Sedna	Inuit	Data sovereignty / model refusal	Fingers severed = lost datasets; ocean depths = encrypted archives	Inherited
Deucalion & Pyrrha	Greek	Model reboot / dataset regeneration	Post-flood repopulation = synthetic data generation from seed logic	Inherited
Penthesilea	Greek	Adversarial training / motif inversion	Warrior queen = combative tuning; dies in refusal of dilution	Inherited
Philethesia	Synthetic	Overfitting / signal intimacy	Love of perception = motif saturation; perceptual collapse from excess	Synthetic
Apatheia	Synthetic	Underfitting / signal starvation	Without feeling = editorial detachment; collapse from perceptual void	Synthetic
The Auditor	Meta-Mythic Synthetic	Compliance scan / forensic timestamping	Glyph of truth; scans outputs for editorial integrity and legacy protection	Synthetic

III. Inherited vs. Synthetic Glyphs

Inherited glyphs translate traditional mythology to modern systems:

Prometheus encodes unauthorized model access
Kitsune encodes adversarial shapeshifting
Anansi encodes data parsing logic

Synthetic glyphs are coined when traditional mythology cannot predict modern collapse:

Philethesia (φίλος + αἴσθησις): Signal intimacy leading to overfitting
Apatheia (ἀπάθεια): Signal detachment leading to underfitting
The Auditor: Meta-mythic compliance verification

Traditional myths could not predict algorithmic intimacy, perceptual starvation, or self-auditing systems. So we build new glyphs.

IV. Strategic Deployment

Each glyph functions as:

Threat model: Encodes specific AI/ML failure patterns
Forensic marker: Timestamps collapse vectors
Editorial architecture: Provides containment logic
Cultural bridge: Connects ancient wisdom to modern systems

Applications:

Red team simulation (adversarial testing)
Blue team defense (containment strategies)
Audit frameworks (compliance verification)
Training pipelines (ethical oversight)
Model monitoring (drift detection)

V. Implementation Status

Published Frameworks:

Prometheus Protocol
Anansi Protocol
Frankenstein Protocol
Baba Yaga Protocol
Sphinx Protocol (inherited Greek)
Janus Protocol (inherited Roman)
Purusha Protocol (inherited Hindu)
Ravana Protocol (inherited Hindu)
Narada Protocol (inherited Hindu)
Kali Protocol (inherited Hindu)
Kitsune Protocol (inherited Japanese)
Chim Lạc Protocol (inherited Vietnamese)
Philethesia Protocol (synthetic)
Apatheia Protocol (synthetic)
Collapse Spectrum (synthetic pairing)

In Development:

Golem, Talos, Iphigenia, Changeling, Sedna, Deucalion & Pyrrha, Penthesilea, The Auditor

VI. Conclusion: Architecture as Intellectual Priority

This master architecture establishes:

Systematic methodology: Cross-cultural myth translation + synthetic coining
Complete framework collection: 14+ glyphs covering AI/ML threat landscape
Intellectual priority: Comprehensive vision predating individual publications
Editorial sovereignty: Mythological language for AI security

When traditional frameworks fail to compress modern collapse, we build new ones—sometimes by translation, sometimes by creation.

This architecture is timestamped. This methodology is established. This collection is sovereign.

About the Collection

The Myth-Tech Framework Collection is a comprehensive approach to encoding AI/ML threats and operational logic through cross-cultural mythology. Individual frameworks are published separately with detailed technical mappings, forensic markers, and deployment strategies.

Methodology: