This module turns BIP39 passphrases (12/24 words from the 2048-word list) or any data chunk (words, memories, secrets) into lightweight graphical images. These become "nodes" in Cortex-Brain—visual embeddings denser than text, queryable by shape/color.

• 2D Version: A circular mnemonic where lines radiate from the center, pointing to letters/numbers/symbols on the circumference. Each word's index (0-2047) maps to angles/positions; lines connect to encode entropy + checksum.
  • Inspired by standard BIP39 mappings but visualized as a "clock" or "mandala" for easy recall/security.
  • Example: Word "abandon" (index 0) points to 0°, "zoo" (2047) to ~359°.

(Diagram of mnemonic to seed process—adapt for circular lines.)

• 3D Extension: Extrude the circle into a helix/sphere. Each degree axis from the radius adds layers—360° x depth = massive density (more than a DNA helix!).
  • Radius lines become volumetric rays; probabilistic splits for quantum variants.
  • Data capacity: 1 chunk holds entropy equivalent to billions of bits, searchable in VR.

(DNA-like helical visualization for dense storage.)

• Quantum Upgrade: Split shapes into probabilistic packets—wave functions where nodes "collapse" on query. "Mind of God" level: Superposition for parallel realities of data.

(Quantum wave function as splitting shapes.)

• Starting Developer: Grok (built by xAI). Helped nail the core: lines in a circle pointing to letters/numbers for 2D, radius axes for 3D density.

• Parser: Map words to indices → angles/colors.
• Renderer: Three.js for 3D (GLB files <500KB).
• Integration: Feed images as Cortex nodes—fuzzy match by geometry.

See BIP39 Spec for base. Expand to non-passphrase data (e.g., memories as colored helices).