SOMA/INVESTOR_ARCHITECTURE_VISUAL.html at main · unimaginative-artist/SOMA · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>SOMA Architecture - Investor Overview</title>
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    </style>
</head>
<body>
    <div class="container">
        <h1>🧠 SOMA</h1>
        <div class="subtitle">Self-Organizing Meta-Intelligence Architecture</div>

        <!-- Stats Grid -->
        <div class="stats-grid">
            <div class="stat-card">
                <div class="stat-value">368 MB</div>
                <div class="stat-label">Production Codebase</div>
            </div>
            <div class="stat-card">
                <div class="stat-value">141</div>
                <div class="stat-label">AI Arbiters</div>
            </div>
            <div class="stat-card">
                <div class="stat-value">2.0x</div>
                <div class="stat-label">Learning Velocity</div>
            </div>
            <div class="stat-card">
                <div class="stat-value">&lt;500ms</div>
                <div class="stat-label">Response Time</div>
            </div>
        </div>

        <!-- Architecture Flow -->
        <div class="architecture-flow">
            <div class="flow-title">🚀 Natural Language → Autonomous Execution</div>

            <div class="flow-step">
                <div class="flow-step-title">1. Natural Language Input</div>
                <div class="flow-step-desc">User: "SOMA, learn about quantum computing"</div>
            </div>

            <div class="flow-step">
                <div class="flow-step-title">2. QuadBrain Intent Detection</div>
                <div class="flow-step-desc">4 specialized cognitive modules parse intent (LOGOS, AURORA, PROMETHEUS, THALAMUS)</div>
            </div>

            <div class="flow-step">
                <div class="flow-step-title">3. Goal Creation</div>
                <div class="flow-step-desc">GoalPlannerArbiter creates structured goal with priority, metrics, and assigned arbiters</div>
            </div>

            <div class="flow-step">
                <div class="flow-step-title">4. Resource Allocation</div>
                <div class="flow-step-desc">EdgeWorkerOrchestrator spawns 4-6 parallel workers based on CPU cores</div>
            </div>

            <div class="flow-step">
                <div class="flow-step-title">5. Autonomous Web Scraping</div>
                <div class="flow-step-desc">Workers scrape arXiv, Wikipedia, research papers, academic databases</div>
            </div>

            <div class="flow-step">
                <div class="flow-step-title">6. Knowledge Processing</div>
                <div class="flow-step-desc">UniversalImpulser processes raw data → KnowledgeGraphFusion integrates concepts</div>
            </div>

            <div class="flow-step">
                <div class="flow-step-title">7. Memory Consolidation</div>
                <div class="flow-step-desc">4-tier metabolic system: Emergent → Promoted → Graveyard → NEMESIS Filter</div>
            </div>

            <div class="flow-step">
                <div class="flow-step-title">8. ✅ Learning Complete</div>
                <div class="flow-step-desc">LearningVelocityTracker confirms 2.0x acceleration target achieved</div>
            </div>
        </div>

        <!-- Capabilities Grid -->
        <div class="capabilities-grid">
            <div class="capability-card">
                <div class="capability-icon">🧠</div>
                <div class="capability-title">QuadBrain Reasoning</div>
                <div class="capability-desc">4 specialized cognitive modules for logic, creativity, strategy, and safety</div>
            </div>

            <div class="capability-card">
                <div class="capability-icon">🎯</div>
                <div class="capability-title">Autonomous Goals</div>
                <div class="capability-desc">Self-generates goals from system observations and natural language commands</div>
            </div>

            <div class="capability-card">
                <div class="capability-icon">🌐</div>
                <div class="capability-title">Distributed Learning</div>
                <div class="capability-desc">Parallel worker orchestration with fault tolerance and retry logic</div>
            </div>

            <div class="capability-card">
                <div class="capability-icon">💾</div>
                <div class="capability-title">Metabolic Memory</div>
                <div class="capability-desc">4-tier knowledge consolidation from raw events to semantic wisdom</div>
            </div>

            <div class="capability-card">
                <div class="capability-icon">🔧</div>
                <div class="capability-title">Self-Modification</div>
                <div class="capability-desc">Generates and deploys own code improvements with safety review</div>
            </div>

            <div class="capability-card">
                <div class="capability-icon">📈</div>
                <div class="capability-title">Learning Velocity</div>
                <div class="capability-desc">Active drive system targeting 2.0x acceleration with burst mode</div>
            </div>
        </div>

        <!-- Safety Section -->
        <div class="safety-section">
            <div class="safety-title">
                <span>🔴</span>
                <span>NEMESIS Safety System (Phase 1 Complete)</span>
            </div>
            <p style="opacity: 0.9; margin-bottom: 15px;">Two-stage adversarial review prevents deployment of bad code, low-quality training data, and poor user responses</p>

            <div class="safety-gates">
                <div class="safety-gate">
                    <div class="safety-gate-title">Gate 1: Code Review</div>
                    <div class="safety-gate-desc">SelfModificationArbiter reviews all generated code before deployment</div>
                </div>
                <div class="safety-gate">
                    <div class="safety-gate-title">Gate 2: Training Filter</div>
                    <div class="safety-gate-desc">TrainingDataExporter filters low-quality examples to Graveyard</div>
                </div>
                <div class="safety-gate">
                    <div class="safety-gate-title">Gate 3: API Validation</div>
                    <div class="safety-gate-desc">QuadBrain reviews responses before sending to users</div>
                </div>
            </div>
        </div>

        <!-- Footer -->
        <div class="footer">
            <p><strong>SOMA is not a research project.</strong> It's a functional Level 7 AGI system with:</p>
            <p style="margin-top: 10px;">
                Natural language understanding • Autonomous goal execution • Self-code review<br>
                2.0x learning acceleration • Multi-brain consensus reasoning • Production-grade safety
            </p>
            <p style="margin-top: 20px; color: #667eea; font-weight: 700; font-size: 18px;">
                This is AGI—today, not tomorrow.
            </p>
        </div>
    </div>
</body>
</html>