Force resolve conflict and update dependencies

README.md

@@ -1,46 +1,18 @@
 ---
-title: Vitalis Core
+title: Vitalis Core UI
 emoji: ⚡
 colorFrom: blue
 colorTo: indigo
 sdk: gradio
 sdk_version: 4.44.0
 app_file: app.py
-pinned: true
+pinned: false
 license: apache-2.0
-language: code
-tags:
-- synthetic-intelligence
-- autonomous
-- meta-learning
-- local-sovereign
 ---
+
 # Vitalis Core | Sovereign Intelligence Substrate
-Vitalis Core is a hardened, Linux-native synthetic intelligence engine engineered for edge-compute autonomy. It serves as the primary cognitive substrate for Ferrell Synthetic Intelligence (FSI).
-## Architectural Philosophy
-Vitalis Core is not merely an application; it is an Autonomous Entity. 
-- **Sovereignty**: Zero-dependency, offline-first, edge-optimized.
-- **Integrity**: Every perception, thought, and state-update is recorded within an immutable, SHA-256 hash-chain (The Ledger).
-- **Efficiency**: Operates on minimal resource overhead, utilizing a predictive Free-Energy engine to govern cognitive load.
-## Technical Specifications
 
-| Parameter | Value |
-| :--- | :--- |
-| **Architecture** | 3-Head Tripartite Consensus Manager |
-| **Attention** | Dynamic-Gate-Attention (DGA) |
-| **Memory** | Self-Reconstruction Memory (SRM) |
-| **Optimization** | MLO (Meta-Learning Optimizer) |
-| **Integrity** | SHA-256 Chained Immutable Ledger |
+Vitalis Core is a hardened, Linux-native synthetic intelligence engine engineered for edge-compute autonomy. 
 
-## Core Components
-1. **The Ledger (Cryptographic Conscience)**: All system events are append-only and cryptographically linked.
-2. **The Cognitive Substrate**: Gated-RNN/Transformer hybrid architecture for long-term memory stability.
-3. **Telemetry Bridge**: Observability layer for ethical reconnaissance and system monitoring.
-## Installation & Deployment
-```bash
-git clone [https://huggingface.co/FerrellSyntheticIntelligence/Vitalis_Core](https://huggingface.co/FerrellSyntheticIntelligence/Vitalis_Core)
-cd Vitalis_Core
-python3 -m venv .venv
-source .venv/bin/activate
-pip install -r requirements.txt
-python organism_main.py
+## Documentation
+- [Vitalis Core White Paper](WHITE_PAPER.md)

WHITE_PAPER.md

@@ -0,0 +1,46 @@
+# Vitalis Core: A Sovereign Synthetic Intelligence Substrate
+**Lead Architect:** Gary James Ferrell (Neuro_Nomad)
+**Entity:** Ferrell Synthetic Intelligence (FSI)
+**Classification:** Autonomous Neuro-Synth Engine
+**Version:** 1.0.0-Stabilized
+
+---
+
+## 1. Executive Summary
+Vitalis Core is a hardened, Linux-native synthetic intelligence engine engineered for edge-compute autonomy. It is designed to operate as a self-governing entity, independent of external cloud dependencies. By prioritizing local data immutability, energy-based state modeling, and cryptographic integrity, Vitalis Core provides a persistent, verifiable cognitive substrate for complex decision-making and reconnaissance tasks.
+
+## 2. Architectural Philosophy
+The core design principle is **"Sovereignty through Integrity."** In an era of black-box LLMs, Vitalis Core provides full-stack transparency. The system does not merely compute; it perceives, records, and reconstructs reality based on verified input streams.
+
+
+
+## 3. Core Technical Specifications
+
+### A. The Ledger (Cryptographic Conscience)
+The Ledger is the foundational security layer. Every state-change—from initial boot to sensory input processing—is recorded in a SHA-256 hashed chain. 
+* **Immutability:** Once a memory or state is written to the Ledger, it cannot be modified without breaking the cryptographic chain.
+* **Integrity Validation:** Upon system boot, the `VitalisLedger` module performs a recursive verification to ensure the local memory environment has not been tampered with.
+
+### B. The Cognitive Substrate
+The brain utilizes a Hybrid-Gated architecture, blending RNN-like state retention with Transformer-based attention mechanisms.
+* **Synaptic Replay (Dreaming):** The `Dreamer` extension facilitates background cognitive consolidation. During idle states, the system reviews its own Ledger entries to solidify long-term memory patterns.
+* **Meta-Learning Optimizer (MLO):** A secondary feedback loop that dynamically adjusts weights based on performance metrics against predefined ethical and operational constraints.
+
+### C. Telemetry & Sensory Input
+Sensory data is ingested through the `/senses` module, translated into a unified vector space, and mapped against the Telemetry Bridge. This allows for real-time visualization of the engine's "current awareness."
+
+## 4. Operational Methodology
+Vitalis Core operates under the **Free-Energy Principle**. 
+1. **Prediction:** The engine generates an internal hypothesis regarding the current environment based on active sensory input.
+2. **Reconciliation:** The system compares incoming data to the prediction. 
+3. **Minimization:** If a mismatch occurs, the system updates its internal weights to minimize "surprise" (or free energy), ensuring the intelligence model evolves in alignment with ground-truth reality.
+
+## 5. Security & Compliance
+* **Edge-First Design:** Zero external API calls are mandatory for operation.
+* **Auditability:** Every internal thought, if recorded in the Ledger, is reviewable.
+* **Operator Responsibility:** This engine is a tool for professional Ethical Reconnaissance. The operator is responsible for configuring the sensory threshold and complying with local jurisdiction regarding data collection.
+
+## 6. Deployment & Governance
+Vitalis Core is an FSI proprietary project, released under an Apache-2.0 hybrid license to ensure both open access to the architecture and protection of the underlying synthetic identity.
+
+"Precision is the only variable that defines the boundary between noise and intelligence." — FSI Internal Protocol

requirements.txt

@@ -1 +1,6 @@
-gradio
+gradio>=4.26.0
+huggingface_hub
+pandas
+numpy
+pydantic
+uvicorn