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chore: remove internal framework references

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Salka Elmadani 2026-02-25 02:56:49 +00:00
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README.md
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@ -8,9 +8,7 @@ Universal AI inference engine. Fused computation, adaptive precision, surgical e
| Project | What it does | | Project | What it does |
|---------|-------------| |---------|-------------|
| [**Inference-X**](https://git.inference-x.com/elmadani/inference-x) | Universal inference engine — 305 KB binary, 19 hardware backends, 23 quantization formats, fused dequant+dot kernels, Shannon entropy adaptive precision. Same model, cleaner signal. |
| **ATLAS** | Open mathematical framework for neural network analysis. | | **ATLAS** | Open mathematical framework for neural network analysis. |
| **Organ Architecture** | Neural network surgery — extracting, measuring, and grafting components between AI models to create functional chimeras. |
### How it works ### How it works

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SPONSOR.md
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@ -5,7 +5,6 @@
--- ---
I'm an engineer from Morocco's Anti-Atlas.
I build AI infrastructure. Not products, not demos, not wrappers around someone else's API. Infrastructure — the kind that runs without permission, works without cloud, and belongs to anyone who needs it. I build AI infrastructure. Not products, not demos, not wrappers around someone else's API. Infrastructure — the kind that runs without permission, works without cloud, and belongs to anyone who needs it.
@ -40,7 +39,6 @@ Same model. Cleaner signal. Every unnecessary step removed.
| Project | What it does | Status | | Project | What it does | Status |
|---------|-------------|--------| |---------|-------------|--------|
| **[inference-x](https://git.inference-x.com/elmadani/inference-x)** | Core engine — 305 KB, 19 hardware backends, 23 quant formats, fused kernels, adaptive precision | ✅ Live | | **[inference-x](https://git.inference-x.com/elmadani/inference-x)** | Core engine — 305 KB, 19 hardware backends, 23 quant formats, fused kernels, adaptive precision | ✅ Live |
| **[organ-architecture](https://git.inference-x.com/elmadani/organ-architecture)** | Neural surgery — extract quality-measure and graft layers between models. Build composite intelligence from the best parts of everything. | ✅ Live |
| **forge** | Model construction pipeline — compile, quantize, sign, distribute. Build your own model variant from certified organs. | 🔨 Building | | **forge** | Model construction pipeline — compile, quantize, sign, distribute. Build your own model variant from certified organs. | 🔨 Building |
| **[echo-ix](https://git.inference-x.com/elmadani/echo-ix)** | Distributed relay — intelligent routing across local inference nodes | ✅ Live | | **[echo-ix](https://git.inference-x.com/elmadani/echo-ix)** | Distributed relay — intelligent routing across local inference nodes | ✅ Live |
| **store** | Anyone deploys a node. Anyone earns from their compute. The cooperative layer. 11 geological cratons. One network. | 📐 Designed | | **store** | Anyone deploys a node. Anyone earns from their compute. The cooperative layer. 11 geological cratons. One network. | 📐 Designed |
@ -49,11 +47,8 @@ The store is the endgame: a peer-to-peer inference network where anyone with a l
--- ---
## The khettara
In the Moroccan desert, builders carved underground canals — *khettaras* — that deliver water from mountain aquifers to fields using only gravity. No pump, no electricity, no central authority. They've worked for a thousand years, maintained by the communities that depend on them.
Inference-X is a khettara for intelligence.
The intelligence already exists in the model weights. What I'm building is the canal — the shortest, cleanest path from those weights to the human who needs them. The intelligence already exists in the model weights. What I'm building is the canal — the shortest, cleanest path from those weights to the human who needs them.