🔯 Vision Statement
To develop the blueprint for a next-generation optical system capable of
transcending traditional physical limits by combining
manifold geometry,
AI-driven inverse design, and
adaptive materials. Our goal is to rethink the telescope
as a programmable, predictive system that manipulates light using
engineered space.
🔍 What We’re Solving
- The diffraction limit
- Fixed lens curvature
- Aberrations from material imperfections
- Atmospheric and signal noise
We aim to break these limits by treating light as a path on a
geometrically sculpted manifold and using AI to
design the lens instead of building it by hand.
🤖 The LUX∞ Core System
-
AI Optical Designer — Generates lens geometry from
desired output using inverse optics modeling
-
Manifold Light Simulator — Traces light through curved
geometries
-
Adaptive Material Engine — Real-time control of
programmable meta-materials
🥇 Our Goal
- Predictive, not reactive
- Dynamic, not static
- Informed by AI, not constrained by legacy physics
With this, we envision:
- ✨ Ultra-high resolution observation
- 🕶 Telescopic designs with limitless digital magnification
- 📊 Scientific insight into light behavior in engineered space
🤔 Why This Matters
- 🌌 Astrophysics and telescope design
- 🚀 Aerospace imaging systems
- 💉 Biomedical imaging
- 🚧 Computational and theoretical optics
🔹 Current Status
- Prototype AI + Three.js simulator complete
- React frontend with parametric shape viewer built
- Manifold geometry-to-light tracing system underway
- Seeking academic input on nonlinear optical theory & material modeling
📆 Next Steps
- Collaborate with optics researchers to refine AI outputs
- Integrate real-world material science parameters
- Design tunable, AI-guided lens prototypes
- Publish open framework for inverse lens design
👨💻 About the Creator
Julian Block
AI Systems Architect
Las Vegas, NV
Full-stack developer and machine learning engineer with a deep passion
for optical science, theoretical math, and redefining what it means to
"see."
📢 Let’s Collaborate
- Nonlinear and computational optics
- Material and photonic engineering
- AI-based inverse design
- Manifold mathematics
Contact: jblock@jblocktech.com