Chapter Five
Generative Spreads & Tarot Data Science

Tarot, Coding, and Binary Systems

  • Leibniz, Binary, and the I Ching Precedent: To understand how Tarot intersects with computer science, one must look at the foundational philosophy of computational thinking. In the late 17th century, mathematician Gottfried Wilhelm Leibniz invented the modern binary number system (the base-2 logic that powers every computer processor today). Leibniz explicitly credited his breakthrough to his study of ancient symbolic systems—specifically the hexagrams of the Chinese I Ching. He realized that ancient humans had already built a functional system of processing complex global information using simple on/off, broken/unbroken binary data paths.
  • Structural Data Modeling — Tarot as a Relational Database: From a programmatic perspective, a Tarot deck is not an organic chaos; it is a highly structured, self-contained relational database system.
    • The Schema: The deck features strict entity constraints. The Major Arcana functions as a fixed index array of 22 distinct algorithmic states (numbered 0 to 21).
    • The Array Attributes: The Minor Arcana functions as a multi-dimensional array split across four strict data columns (the Suits) intersected by fourteen numerical rows (the Ranks).
    • System Mapping: Because of this inherent mathematical architecture, learning to build a digital Tarot layout engine is an industry-standard training project for software developers to master database queries, array manipulation, and responsive front-end state changes.

Narrative Game Design & AI Benchmarking

  • The Tabletop Intersection — Tarot in Dungeons & Dragons (D&D): The relationship between Tarot and tabletop roleplaying games is deeply baked into the history of the hobby, most famously seen in Dungeons & Dragons:
    • The Tarokka Deck: In D&D’s legendary gothic horror setting, Ravenloft (specifically the Curse of Strahd adventure), players encounter an in-game card system called the Tarokka. The Dungeon Master (DM) performs a live card layout at the table to algorithmically randomize the entire plot of the campaign—determining where magical artifacts are hidden, which non-player characters (NPCs) will ally with the party, and where the final boss battle will take place.
    • Instant NPC Blueprinting: Dungeon Masters frequently use a standard Tarot deck behind the scenes to instantly generate complex backstories. A DM can draw three cards to dynamically determine an NPC’s past trauma, current hidden motive, and destined downfall.
    • Character Alignment Mapping: Players can map their characters' developmental journeys against the classic Fool’s Journey. A rogue seeking redemption might find their personal arc perfectly mirrored by the progression from The Thief (Hermit reversed) to the Justice card.
  • The Generative Frontier — Testing Multimodal AI Models: In modern artificial intelligence engineering, developers must train and test multimodal models—AI systems capable of processing both visual graphics and natural human language simultaneously. Tarot presents an incredibly difficult, high-level test for these models. Computer scientists utilize Tarot decks as training and benchmarking tools for neural networks in two distinct ways:
    1. Contextual Image Decoding: Standard computer vision models can easily look at a picture and identify "a woman" or "a lion." However, a Tarot card like Strength requires the AI to understand the complex, non-literal relationship between the woman and the lion, testing its capacity for abstract symbolic decoding.
    2. Context-Dependent Semantic Analysis: In Large Language Models (LLMs), engineers use Tarot to test how well an AI can dynamically alter data based on surrounding inputs. A card's meaning changes completely depending on whether it is drawn upright or reversed, and whether it sits next to The Tower or The Sun. Training an AI to synthesize these layout variables tests its ability to track long-range dependencies and nuances in human sentiment.
  • The Human Mirror: Because AI architectures scrape the collective creative output of humanity to learn language, researchers view generative AI tools as a literal technological manifestation of Carl Jung's Collective Unconscious. When an AI generates a Tarot interpretation, it is not thinking; it is holding a digital mirror up to centuries of human art, philosophy, and cultural memory stored within its database weights.

The Three Artistic Legacies of the Golden Dawn

The Golden Dawn’s structural teachings were originally kept strictly secret under oath. However, prominent members eventually broke away or went public, creating the three foundational artistic architectures that define every single Tarot layout used in the 21st century:

  1. Arthur Edward Waite & Pamela Colman Smith — Rider-Waite-Smith (RWS) (1909): The most popular deck in history. Waite toned down the overt occult secrets to protect his vows but had Smith illustrate the Minor Arcana with rich, narrative scenes based directly on Golden Dawn meanings rather than blank geometric pips.
  2. Aleister Crowley & Lady Frieda Harris — Thoth Tarot (Published 1969): A visually stunning, highly complex deck that explicitly showcases the Golden Dawn's astrological, alchemical, and Qabalah correspondences without hiding them under illustrations.
  3. Godfrey Dowson — The Hermetic Tarot (Modern): A highly detailed black-and-white deck based explicitly and strictly on the exact astrological, angelic, and elemental details found in the Golden Dawn's original Book T manuscript.

Historical Note

The 1909 Rider-Waite-Smith Symbolism: When compiling visual assets for digital deployment, designers can observe how graphic artists embedded complex iconography within the cards. A prime example is found in Pamela Colman Smith’s illustrations for the 1909 Ten of Pentacles. Surrounding the figures, the ten pentacles are purposefully arranged to map out the Kabbalistic Tree of Life, seamlessly integrating abstract cosmological geometry directly into a mundane domestic environment.

The Major Arcana →