Redefining the Universe Through Geometry & Mathematics
AI-Driven Predictions
- Dark Matter: AI (graph neural networks) can model density variations in Notations 130–204, aligning with galaxy formation simulations.
- CMB: Notations 60–80 may predict CMB fluctuations, testable with Planck satellite data.

Fundamental Constants, Not Numerology:
- π in GR curvature
- e in QM wave functions
- Embedded in the Planck Polyhedral Core visualization (demo-discussion at https://81018.com/planck-polyhedral-core/)
| Notation | Planck Time (s) | Planck Length (m) | Notes |
|---|---|---|---|
| 0 | 5.391 × 10-44 | 1.616 × 10-35 | Planck scale |
| 67 | 2.300 × 10-27 | 6.896 × 10-19 | Particle scale |
| 134 | 9.843 × 10-10 | 2.950 × 10-2 | Human scale |
| 202 | 1.338 × 1017 | 4.008 × 1025 | Observable universe |
| 204 | 5.353 × 10 17 | 1.603 × 1026 | Future universe |
Full chart (CSV): https://81018.com/chart-downloads
At PASCOS 2025 to discuss how this model complements cosmology and string theory. Scan the QR code or visit 81018.com/pascos/.
Contact: Bruce Camber, camber@81018.com
Big Board-little universe Project
81018.com | Wilczek (2001), Planck Corroboration (2020) | PASCOS-30 in 2025 | More…