100-Sense Cascade · MiG-29 → Universal Intelligence Yield

The intelligence needed to construct a MiG-29 — aerodynamics, propulsion, materials, control, electronics, sensors — is enormous. The image is the substrate; the 100 ultra-sensitive senses are the extractor. By the end, that immense engineering intelligence is mapped onto a Millennium problem.
Substrate · Ukrainian MiG-29 (GPS-upgraded)
Visual substrate: Twin tails · swept wings · pitot tube · engine nozzles · camouflage pattern · GNNS GPS antenna · missiles · ~1500+ rivets · fuselage cross-sections.
Engineering intelligence encoded: Aerodynamics, propulsion thermodynamics, materials metallurgy, control theory, RF electronics, sensor fusion, manufacturing.
Speed: 3×
Live extraction log
Target Question · Choose Millennium Problem
0
Total intelligence tokens extracted
Per-cluster accumulation
Target coherence · how well extract maps onto problem
0%
senses not yet activated
100-Sense Field · 12 clusters · click any for detail, or run cascade
✦ Generated Approach · cascade complete
CCT-OV1 · Visual Resonance Extraction
The image is just the substrate — its content is incidental.
The senses are the intelligence. The cascade is the work.
Energy economics: $W_{\text{visual}} + W_{\text{cascade}} + W_{\text{transfer}} \geq \mathcal{I}_{\text{output}}$
Conservation guaranteed by Universal Senses #1–5.