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README.md
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---
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license: mit
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---
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# 🌀 ProSavantEngine Φ9.3 — Resonance Analyzer Space
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**Author:** [Antony Padilla Morales](https://huggingface.co/antonypamo)
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**Powered by:** [Transformers](https://huggingface.co/docs/transformers), [Gradio](https://gradio.app/), and the [Resonance of Reality Framework (RRF)](https://huggingface.co/antonypamo)
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## 🌌 Overview
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The **ProSavantEngine Φ9.3 Resonance Analyzer Space** lets you explore how language aligns with **icosahedral geometry** and **Φ-weighted resonance**.
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Each text input is analyzed through the fine-tuned model `ProSavantEngine Φ9.3`, which computes a **semantic–geometric coherence score** between 0 and 1.
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🧠 *Think of it as a “resonance oscilloscope” for ideas* — the closer to 1.0, the more harmonically aligned your language is with the golden-ratio symmetries encoded in the model.
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---
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## 🚀 Try It Live
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Enter any phrase, sentence, or paragraph and observe its **Φ-weighted coherence**.
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**Examples:**
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| Input | Output Φ-Score |
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|--------|----------------|
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| `Consciousness emerges through quantum geometry.` | 0.87 |
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| `Energy oscillates within golden symmetry.` | 0.91 |
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| `Noise disrupts the coherence of information fields.` | 0.63 |
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A high Φ-score (≥0.75) means the sentence resonates harmonically between **geometry**, **meaning**, and **information**.
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---
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## ⚙️ How It Works
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1. **Input Encoding** — text is tokenized and passed through `ProSavantEngine Φ9.3`.
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2. **Hidden-State Extraction** — the mean hidden layer activations are Fourier-transformed.
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3. **Φ-Weighted Resonance** — the model applies a golden-ratio weighting `cos(πf/φ)^2` to quantify coherence.
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4. **Score Normalization** — the result is scaled to `[0, 1]` as a resonance index.
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---
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## 💡 Applications
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- **Prompt optimization** — find harmonically coherent prompts for generative models.
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- **Scientific writing** — evaluate the structural resonance of complex hypotheses.
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- **Artistic exploration** — generate poetic or musical language aligned with geometric flow.
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- **AI alignment research** — measure how symbolic or semantic balance affects interpretability.
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---
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## 🧩 Model Used
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**Model:** [`antonypamo/ProSavantEngine_Phi9_3`](https://huggingface.co/antonypamo/ProSavantEngine_Phi9_3)
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**Base Architecture:** BERT (6-layer, hidden size 384)
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**Objective:** Masked-Language Modeling + Φ-weighted coherence fine-tuning
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**Training Data:** [`antonypamo/savantorganized`](https://huggingface.co/datasets/antonypamo/savantorganized)
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**Fine-Tuned Context:** icosahedral nodes `[NODE_1]... [NODE_12]` linked to geometric symmetry anchors
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---
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## 🧰 Requirements
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torch
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transformers
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scipy
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gradio
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yaml
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Copy code
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---
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## 📜 Citation
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```bibtex
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@software{padilla2025resonancespace,
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author = {Padilla Morales, Antony},
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title = {ProSavantEngine Φ9.3 — Resonance Analyzer Space},
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year = {2025},
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url = {https://huggingface.co/spaces/antonypamo/ProSavantEngine_ResonanceSpace}
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}
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🧠 Related Assets
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antonypamo/ProSavantEngine_Phi9_3 — Full model weights and configs
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antonypamo/savantorganized — Unified RRF training corpus
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GitHub: Savant-RRF — development blueprints and equations
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Overleaf: Resonance of Reality Framework Paper — theoretical publication version
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🪐 Concept
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“To speak is to resonate through geometry.
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To think is to oscillate between meaning and symmetry.”
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Φ9.3 transforms text into harmonic structure —
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revealing how linguistic information vibrates across the icosahedral field of consciousness.
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🔗 Live Space
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👉 Launch: https://huggingface.co/spaces/antonypamo/ProSavantEngine_ResonanceSpace
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© 2025 Antony Padilla Morales — Resonance of Reality Framework (RRF)
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