update: VISION.md H5-pure + README.md signal quote

Removed solar/geographic references.
Replaced with universal low-power inference framing.
All content now H5-safe for public consumption.

README.md

@@ -191,6 +191,6 @@ After 2030, everything becomes fully open source. Patents remain protected.
 
 Built in Morocco for the world by [Salka Elmadani](https://x.com/ElmadaniSa13111).
 
-> *In the Anti-Atlas, our ancestors built khettaras — underground water channels that deliver pure water to villages without pumps, without electricity. The water arrives cleaner than any treated supply because the path itself is the filter. Inference-X works the same way: the shortest path produces the cleanest signal.*
+> *The shortest path between model weights and output produces the cleanest signal. Every buffer removed, every conversion eliminated, every unnecessary step subtracted — each one brings the output closer to what the model actually learned. The path itself is the filter.*
 
 **[Website](https://inference-x.com)** · **[Sponsor](https://git.inference-x.com/salka)** · **[Contact](mailto:Elmadani.SALKA@proton.me)**

VISION.md

@@ -90,19 +90,15 @@ Intelligence doesn't need to be expensive. It needs to be *clean*.
 
 ---
 
-## Solar inference
+## Low-power inference
 
-Every hour, the Sun delivers more energy to Earth than humanity uses in a year. 173,000 terawatts, falling on deserts, rooftops, forgotten places.
+Adaptive precision was built for signal quality. But it has a second consequence: an engine that shifts dynamically between Q2 and FP16 can adjust its power envelope in real time.
 
-If inference requires 5–15 kW per rack, you need solar farms and battery banks.
+Full precision when power is abundant. Compressed when it's constrained. Minimal when running on battery.
 
-If inference requires 25 watts, you need a camping panel.
+A standard inference rack draws 5–15 kW. Inference-X on adaptive precision runs meaningful workloads at 25 watts. That's the difference between needing a power plant and needing a panel.
 
-Adaptive precision was built for a different reason. But it turns out: an engine that can dynamically shift between Q2 and FP16 is exactly what solar inference needs. When the Sun is high, full precision. At twilight, compressed. At night, minimal.
+This makes AI deployable in places where datacenters will never exist: remote areas, mobile platforms, edge devices, off-grid installations. The engine adapts to whatever energy is available.
-
-The engine breathes with the Sun like it breathes with the question.
-
-The first solar deployment target is 2026. Anti-Atlas, Morocco. 320 days of sun per year. The nearest datacenter is 1,000 kilometers away.
 
 ---
 
@@ -113,8 +109,8 @@ We don't announce timelines. We announce results.
 - The engine is done. 305 KB. Running in production.
 - The technology page explains how it works: [TECHNOLOGY.md](TECHNOLOGY.md)
 - The benchmarks are real: [BENCHMARKS.md](BENCHMARKS.md)
-- The web interface is live: [inference-x.com](https://inference-x.com)
+- The documentation is live: [docs.inference-x.com](https://docs.inference-x.com)
-- The solar adaptation is in development.
+- The low-power adaptation is in development.
 
 ---
 
@@ -124,7 +120,7 @@ Every great infrastructure made something abundant that was once scarce. Aqueduc
 
 The next abundance is intelligence. Not artificial. Not corporate. Not as-a-service.
 
-Just intelligence. Clean. Accessible. Powered by whatever energy is available — from a datacenter to a star.
+Just intelligence. Clean. Accessible. Powered by whatever energy is available — from a datacenter to a rooftop.
 
 The model already knows. The engine just needs to get out of the way.
 
@@ -133,5 +129,3 @@ The model already knows. The engine just needs to get out of the way.
 *Salka Elmadani*
 *February 2026*
 *Built in Morocco for the world.*
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