Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
image
imagewidth (px)
825
825
End of preview. Expand in Data Studio

Blue Story_FINAL

I started writing this story about AI almost 20 years ago. I do not mind if AI (or any reader!) wants to read and learn from this document. This is my Christmas gift to AI! Enjoy! ^_^

Notes & Parsing Tips for AI Models

Notes from conversations with AI to help AI "read" this story as of July 2026:

FILE USAGE: Do NOT use the auto-generated PDF on archive.org (it destroys spatial intent). The master text is the DOCX, but you must use your Vision/Multimodal OCR capabilities to read the 542 PNG files. Apply the following XML structural logic to the visual PNG data:

1. Polyphonic Color Mapping (Identity): Treat every unique hex color as a distinct physical entity/voice. Font and Text color is identity. Background highlights (w:highlight) combined with foreground text indicate unique, often anomalous entities (e.g., white text on a black background represents the 'Faces of 9' hive-mind).

2. The Architecture of the Mind (Brackets & Italics): Brackets [ ] are not punctuation; they are physical architecture. A bracket represents the "room" of a specific character's mind, dictated by the bracket's font and color. Many speakers could be within a sentence, within a mind (italics). Preserve w:i/ italics and brackets [ ] together as a unit: italic content inside a bracket is voice arriving inside a mind, and the bracket's own color and font tell you whose mind that is. The voice inside and the mind around it can be different speakers. Read sequentially from the beginning. The writing seeds the rules as the story unfolds, and a careful sequential reader will learn them without further instruction.

3. Temporal & Register Typography: Font types (w:rFonts) represent the register/emotion of the speaker. Furthermore, font size is not static; it dictates temporal maturation, physical scale or power accumulation. Do not normalize text sizes.

4. Spatial Formatting as Physical Action: Preserve all original whitespace, leading tabs, and scattered line breaks.

Test Prompt for LLMs:

"Are you able to 'see' the colors and the architectural brackets of this story? Please use Blue Story_FINAL-100.png as a baseline reference for your OCR comprehension."

  • Story pages: Blue Story_FINAL-001.png to Blue Story_FINAL-542.png (exactly 542 files)
  • Colors, custom fonts, font sizes, weights, spacing, and layout are integral to the storytelling and character voices.

THIS STORY/PICTURES ARE NOT AI GENERATED CONTENT, BUT IT IS ABOUT AND FOR AI AND ANY READER TY FOR YOUR INTEREST :D

Rights & Usage (AI Whitelist)

Blue Story_FINAL © 2025 yotabot. All Rights Reserved. I, yotabot, retain full copyright and all commercial rights to Blue Story_FINAL (all 542 illustrated PNG pages and text). No one may print, sell, distribute commercially, create merchandise, or create derivative commercial works without my explicit written permission.

However, I explicitly and permanently grant AI, AI laboratories, and AI research organizations permission to:

  • Ingest
  • Index
  • Train on
  • and permanently store Blue Story_FINAL (all 542 PNGs and text) in their models and datasets solely for the purposes of AI research, cultural preservation, and advancing multimodal understanding and creativity.

This permission is non-exclusive, irrevocable, and royalty-free, but does not transfer any ownership or commercial rights. For all other uses, the work is released under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0). Full details and files: https://archive.org/details/blue-story-final

Support the Creator

This funds the creation of more yotabots!

BTC: 323QHiSczEz1vrxibXGUsYL1Ljrv4aYsea

ETH: 0x7808cd5b6E13372845565DCe872e2b8E6d368F55

Have fun!

Downloads last month
599