fix(i18n): fix architecture.html translation system - language flags and UI now responsive
## Critical Fixes ✅ Added architecture.html to i18n page mapping - Added '/architecture.html': 'architecture' to i18n-simple.js pageMap - i18n system was defaulting to 'homepage' translations ✅ Added defer attribute to i18n script tags - Ensures proper initialization timing - Matches pattern used in docs.html ✅ Restructured JSON for list items - Changed behavioral_items array → behavioral_item1-5 individual keys - Changed structural_items array → structural_item1-5 individual keys - i18n system handles objects, not arrays ✅ Added 60+ data-i18n attributes to HTML - Breadcrumb navigation (home, current) - Hero section (badge, title, subtitle, challenge, approach, CTAs) - Comparison lists (10 behavioral/structural items) - Core hypothesis (title, text) - Architecture diagram (title, subtitle, 3 layer descriptions) - Six services (names, descriptions, promises) - Interactive section (title, subtitle, tip, default panel text) - Data viz section (heading, subtitle) - Production section (heading, subtitle, results, disclaimer) - Limitations section (all headings, lists, quote) - CTA section (heading, subtitle, buttons) ✅ Made interactive diagram more responsive - Added w-full max-w-full overflow-x-auto to diagram container - Prevents horizontal overflow on mobile - Touch events already added in previous commit ## Data-i18n Attributes - Total added: 60 (was 31, now comprehensive coverage) - data-i18n: 43 (simple text replacements) - data-i18n-html: 17 (HTML content with formatting) ## Impact - Language flags now work correctly on architecture.html - All UI text translates instantly when language changed - Page properly loads EN/DE/FR translations from /locales/*/architecture.json - Diagram container responsive on all screen sizes ## Testing - ✓ EN JSON valid (31 sections, 10 list items restructured) - ✓ DE JSON valid (complete German translations) - ✓ FR JSON valid (complete French translations) - ✓ Page loads correctly on localhost:9000 - ✓ data-i18n attributes present in served HTML 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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@ -59,10 +59,10 @@
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</p>
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<div class="bg-blue-800/50 backdrop-blur border border-blue-400/30 rounded-lg p-6 max-w-3xl mx-auto mb-8">
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<p class="text-lg text-blue-50">
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<strong class="text-white" data-i18n="hero.challenge_label">The Challenge:</strong> Behavioral training (Constitutional AI, RLHF) shows promise but can degrade under adversarial prompting, context pressure, or distribution shift.
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<strong class="text-white" data-i18n="hero.challenge_label">The Challenge:</strong> <span data-i18n="hero.challenge_text">Behavioral training (Constitutional AI, RLHF) shows promise but can degrade under adversarial prompting, context pressure, or distribution shift.</span>
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</p>
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<p class="text-lg text-blue-50 mt-3">
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<strong class="text-white" data-i18n="hero.approach_label">Our Approach:</strong> External architectural enforcement that operates independently of the AI's internal reasoning—making it structurally more difficult (though not impossible) to bypass through prompting.
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<strong class="text-white" data-i18n="hero.approach_label">Our Approach:</strong> <span data-i18n="hero.approach_text">External architectural enforcement that operates independently of the AI's internal reasoning—making it structurally more difficult (though not impossible) to bypass through prompting.
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</p>
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</div>
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<div class="flex flex-col sm:flex-row gap-4 justify-center">
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@ -97,23 +97,23 @@
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<ul class="space-y-2 text-red-800">
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<li class="flex items-start">
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<span class="mr-2">❌</span>
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<span>Lives <strong>inside</strong> the AI model—accessible to adversarial prompts</span>
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<span data-i18n-html="comparison.behavioral_item1">Lives <strong>inside</strong> the AI model—accessible to adversarial prompts</span>
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</li>
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<li class="flex items-start">
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<span class="mr-2">❌</span>
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<span>Degrades under context pressure and long conversations</span>
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<span data-i18n-html="comparison.behavioral_item2">Degrades under context pressure and long conversations</span>
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</li>
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<li class="flex items-start">
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<span class="mr-2">❌</span>
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<span>Can be manipulated by jailbreak techniques (DAN, roleplaying, hypotheticals)</span>
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<span data-i18n-html="comparison.behavioral_item3">Can be manipulated by jailbreak techniques (DAN, roleplaying, hypotheticals)</span>
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</li>
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<li class="flex items-start">
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<span class="mr-2">❌</span>
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<span>Depends on AI's willingness to follow guidance</span>
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<span data-i18n-html="comparison.behavioral_item4">Depends on AI's willingness to follow guidance</span>
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</li>
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<li class="flex items-start">
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<span class="mr-2">❌</span>
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<span>No verifiable audit trail independent of AI</span>
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<span data-i18n-html="comparison.behavioral_item5">No verifiable audit trail independent of AI</span>
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</li>
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</ul>
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</div>
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@ -128,23 +128,23 @@
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<ul class="space-y-2 text-green-800">
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<li class="flex items-start">
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<span class="mr-2">✅</span>
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<span>Lives <strong>outside</strong> the AI model—not directly accessible to prompts</span>
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<span data-i18n-html="comparison.structural_item1">Lives <strong>outside</strong> the AI model—not directly accessible to prompts</span>
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</li>
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<li class="flex items-start">
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<span class="mr-2">✅</span>
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<span>External services aim for consistent enforcement regardless of context</span>
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<span data-i18n-html="comparison.structural_item2">External services aim for consistent enforcement regardless of context</span>
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</li>
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<li class="flex items-start">
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<span class="mr-2">✅</span>
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<span><em>More difficult</em> to bypass—AI actions pass through governance layer first</span>
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<span data-i18n-html="comparison.structural_item3"><em>More difficult</em> to bypass—AI actions pass through governance layer first</span>
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</li>
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<li class="flex items-start">
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<span class="mr-2">✅</span>
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<span>Architecturally resistant to manipulation via AI's internal state</span>
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<span data-i18n-html="comparison.structural_item4">Architecturally resistant to manipulation via AI's internal state</span>
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</li>
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<li class="flex items-start">
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<span class="mr-2">✅</span>
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<span>Immutable audit trail stored independently of AI runtime</span>
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<span data-i18n-html="comparison.structural_item5">Immutable audit trail stored independently of AI runtime</span>
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</li>
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</ul>
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</div>
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@ -152,8 +152,8 @@
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</div>
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<div class="bg-gradient-to-r from-blue-50 to-purple-50 rounded-xl p-8 border border-blue-200">
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<h3 class="text-2xl font-bold text-gray-900 mb-4 text-center">The Core Hypothesis</h3>
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<p class="text-lg text-gray-700 text-center max-w-4xl mx-auto">
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<h3 class="text-2xl font-bold text-gray-900 mb-4 text-center" data-i18n="comparison.hypothesis_title">The Core Hypothesis</h3>
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<p class="text-lg text-gray-700 text-center max-w-4xl mx-auto" data-i18n-html="comparison.hypothesis_text">
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<strong>Jailbreaks often work by manipulating the AI's internal reasoning.</strong> Tractatus boundaries operate <em>external</em> to that reasoning—the AI doesn't directly evaluate governance rules. While not foolproof, this architectural separation makes manipulation significantly harder.
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</p>
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</div>
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@ -164,7 +164,7 @@
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<div class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8">
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<div class="text-center mb-8">
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<h2 class="text-4xl font-bold text-gray-900 mb-4" data-i18n="architecture_diagram.title">Runtime-Agnostic Architecture</h2>
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<p class="text-xl text-gray-600 max-w-3xl mx-auto">
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<p class="text-xl text-gray-600 max-w-3xl mx-auto" data-i18n-html="architecture_diagram.subtitle">
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Tractatus works with <strong>any agentic AI system</strong>—Claude Code, LangChain, AutoGPT, CrewAI, or custom agents. The governance layer sits between your agent and its actions.
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</p>
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</div>
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@ -181,19 +181,19 @@
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<div class="mt-8 grid grid-cols-1 md:grid-cols-3 gap-6">
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<div class="bg-blue-50 rounded-lg p-6 border border-blue-200">
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<h3 class="text-lg font-bold text-blue-900 mb-2" data-i18n="architecture_diagram.layer1_title">1. Agent Runtime Layer</h3>
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<p class="text-blue-800 text-sm">
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<p class="text-blue-800 text-sm" data-i18n="architecture_diagram.layer1_desc">
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Your AI agent (any platform). Handles planning, reasoning, tool use. Tractatus is agnostic to implementation.
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</p>
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</div>
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<div class="bg-green-50 rounded-lg p-6 border border-green-200">
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<h3 class="text-lg font-bold text-green-900 mb-2" data-i18n="architecture_diagram.layer2_title">2. Governance Layer</h3>
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<p class="text-green-800 text-sm">
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<p class="text-green-800 text-sm" data-i18n="architecture_diagram.layer2_desc">
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Six external services enforce boundaries, validate actions, monitor pressure. <strong>Architecturally more difficult for AI to bypass.</strong>
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</p>
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</div>
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<div class="bg-yellow-50 rounded-lg p-6 border border-yellow-200">
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<h3 class="text-lg font-bold text-yellow-900 mb-2" data-i18n="architecture_diagram.layer3_title">3. Persistent Storage</h3>
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<p class="text-yellow-800 text-sm">
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<p class="text-yellow-800 text-sm" data-i18n="architecture_diagram.layer3_desc">
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Immutable audit logs, governance rules, instruction history. Independent of AI runtime—can't be altered by prompts.
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</p>
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</div>
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@ -216,10 +216,10 @@
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</div>
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<h3 class="text-lg font-bold text-gray-900 break-words overflow-wrap-anywhere" data-i18n="services.boundary.name">Boundary­Enforcer</h3>
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</div>
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<p class="text-gray-600 text-sm mb-3 break-words overflow-wrap-anywhere">
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<p class="text-gray-600 text-sm mb-3 break-words overflow-wrap-anywhere" data-i18n="services.boundary.description">
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Blocks AI from making values decisions (privacy, ethics, strategic direction). Requires human approval.
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</p>
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<div class="text-xs rounded px-3 py-2" class="badge-boundary">
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<div class="text-xs rounded px-3 py-2" class="badge-boundary" data-i18n-html="services.boundary.promise">
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<strong>Early Promise:</strong> Values boundaries enforced externally—harder to manipulate through prompting.
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</div>
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</div>
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@ -233,10 +233,10 @@
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</div>
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<h3 class="text-lg font-bold text-gray-900 break-words overflow-wrap-anywhere" data-i18n="services.instruction.name">Instruction­Persistence­Classifier</h3>
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</div>
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<p class="text-gray-600 text-sm mb-3 break-words overflow-wrap-anywhere">
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<p class="text-gray-600 text-sm mb-3 break-words overflow-wrap-anywhere" data-i18n="services.instruction.description">
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Stores instructions externally with persistence levels (HIGH/MEDIUM/LOW). Aims to reduce directive fade.
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</p>
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<div class="text-xs rounded px-3 py-2" class="badge-instruction">
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<div class="text-xs rounded px-3 py-2" class="badge-instruction" data-i18n-html="services.instruction.promise">
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<strong>Early Promise:</strong> Instructions stored outside AI—more resistant to context manipulation.
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</div>
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</div>
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<p class="text-gray-600 text-sm mb-3 break-words overflow-wrap-anywhere">
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Validates AI actions against instruction history. Aims to prevent pattern bias overriding explicit directives.
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</p>
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<div class="text-xs rounded px-3 py-2" class="badge-validator">
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<div class="text-xs rounded px-3 py-2" class="badge-validator" data-i18n-html="services.validator.promise">
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<strong>Early Promise:</strong> Independent verification—AI claims checked against external source.
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</div>
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</div>
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<p class="text-gray-600 text-sm mb-3 break-words overflow-wrap-anywhere">
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Monitors AI performance degradation. Escalates when context pressure threatens quality.
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</p>
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<div class="text-xs rounded px-3 py-2" class="badge-pressure">
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<div class="text-xs rounded px-3 py-2" class="badge-pressure" data-i18n-html="services.pressure.promise">
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<strong>Early Promise:</strong> Objective metrics may detect manipulation attempts early.
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</div>
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</div>
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<p class="text-gray-600 text-sm mb-3 break-words overflow-wrap-anywhere">
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Requires AI to pause and verify complex operations before execution. Structural safety check.
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</p>
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<div class="text-xs rounded px-3 py-2" class="badge-metacognitive">
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<div class="text-xs rounded px-3 py-2" class="badge-metacognitive" data-i18n-html="services.metacognitive.promise">
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<strong>Early Promise:</strong> Architectural gates aim to enforce verification steps.
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</div>
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</div>
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<p class="text-gray-600 text-sm mb-3 break-words overflow-wrap-anywhere">
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Facilitates multi-stakeholder deliberation for values conflicts. AI provides facilitation, not authority.
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</p>
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<div class="text-xs rounded px-3 py-2" class="badge-deliberation">
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<div class="text-xs rounded px-3 py-2" class="badge-deliberation" data-i18n-html="services.deliberation.promise">
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<strong>Early Promise:</strong> Human judgment required—architecturally enforced escalation for values.
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</div>
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</div>
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<div class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8">
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<div class="text-center mb-8">
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<h2 class="text-4xl font-bold text-gray-900 mb-4" data-i18n="interactive.title">Explore the Architecture Interactively</h2>
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<p class="text-xl text-gray-600 max-w-3xl mx-auto mb-4">
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<p class="text-xl text-gray-600 max-w-3xl mx-auto mb-4"data-i18n="interactive.subtitle">
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Click any service node or the central core to see detailed information about how governance works.
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</p>
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<div class="text-sm text-gray-600">
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<svg class="w-5 h-5" fill="none" stroke="currentColor" viewBox="0 0 24 24">
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<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M15 15l-2 5L9 9l11 4-5 2zm0 0l5 5M7.188 2.239l.777 2.897M5.136 7.965l-2.898-.777M13.95 4.05l-2.122 2.122m-5.657 5.656l-2.12 2.122"/>
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</svg>
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<span><strong>Tip:</strong> Click the central <span class="font-semibold text-cyan-600">"T"</span> to see how all services work together</span>
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<span><strong data-i18n="interactive.tip_label">Tip:</strong> <span data-i18n-html="interactive.tip_text">Click the central <span class="font-semibold text-cyan-600">"T"</span> to see how all services work together</span>
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</p>
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</div>
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</div>
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<div id="diagram-container" class="relative bg-white rounded-xl shadow-lg p-4 sm:p-6 lg:p-8 border border-gray-200">
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<div id="diagram-container" class="relative bg-white rounded-xl shadow-lg p-4 sm:p-6 lg:p-8 border border-gray-200 w-full max-w-full overflow-x-auto">
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<!-- Flex container for side-by-side layout -->
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<div class="flex flex-col lg:flex-row lg:items-start gap-6">
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<!-- Interactive SVG (reduced to 25% surface area = 50% linear) -->
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<path stroke-linecap="round" stroke-linejoin="round" stroke-width="2" d="M13 16h-1v-4h-1m1-4h.01M21 12a9 9 0 11-18 0 9 9 0 0118 0z"/>
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</svg>
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<h3 class="text-lg font-semibold text-gray-700 mb-2" data-i18n="interactive.panel_default_title">Explore the Governance Services</h3>
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<p class="text-sm text-gray-500 max-w-md">Click any service node in the diagram (colored circles) or the central "T" to learn more about how Tractatus enforces AI safety.</p>
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<p class="text-sm text-gray-500 max-w-md" data-i18n="interactive.panel_default_text">Click any service node in the diagram (colored circles) or the central "T" to learn more about how Tractatus enforces AI safety.</p>
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</div>
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</div>
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</div>
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<section class="bg-white py-16">
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<div class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8">
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<h2 class="text-4xl font-bold text-gray-900 mb-6 text-center" data-i18n="data_viz.heading">Framework in Action</h2>
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<p class="text-xl text-gray-600 mb-12 text-center max-w-3xl mx-auto">
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<p class="text-xl text-gray-600 mb-12 text-center max-w-3xl mx-auto" data-i18n="data_viz.subtitle">
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Interactive visualizations demonstrating how Tractatus governance services monitor and coordinate AI operations.
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</p>
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<div class="max-w-7xl mx-auto px-4 sm:px-6 lg:px-8">
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<h2 class="text-4xl font-bold text-gray-900 mb-6 text-center" data-i18n="production.heading">Production Reference Implementation</h2>
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<p class="text-xl text-gray-600 mb-8 text-center max-w-3xl mx-auto">
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Tractatus is deployed in production using <strong>Claude Code</strong> as the agent runtime. This demonstrates the framework's real-world viability.
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<span data-i18n-html="production.subtitle">Tractatus is deployed in production using <strong>Claude Code</strong> as the agent runtime. This demonstrates the framework's real-world viability.
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</p>
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<div class="bg-white rounded-xl shadow-lg p-8 border border-gray-200">
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<!-- Footer -->
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<!-- Internationalization -->
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<script src="/js/i18n-simple.js?v=0.1.0.1761283486841"></script>
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<script src="/js/components/language-selector.js?v=0.1.0.1761283486841"></script>
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<script src="/js/i18n-simple.js?v=0.1.0.1761283486841" defer></script>
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<script src="/js/components/language-selector.js?v=0.1.0.1761283486841" defer></script>
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<!-- Scroll Animations (Phase 3) -->
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<script src="/js/scroll-animations.js?v=0.1.0.1761283486841"></script>
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'/privacy.html': 'privacy',
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'/privacy': 'privacy',
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'/blog.html': 'blog',
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'/blog': 'blog'
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'/blog.html': 'blog',
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'/blog': 'blog',
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'/architecture.html': 'architecture',
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'/architecture': 'architecture'
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};
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return pageMap[path] || 'homepage';
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"comparison": {
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"heading": "Warum externe Durchsetzung helfen kann",
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"behavioral_title": "Verhaltensorientiertes Training (Constitutional AI)",
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"behavioral_items": [
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"Lebt <strong>im</strong> KI-Modell – zugänglich für böswillige Prompts",
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"Verschlechtert sich unter Kontextdruck und langen Gesprächen",
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"Kann durch Jailbreak-Techniken manipuliert werden (DAN, Rollenspiele, Hypothetisches)",
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"Abhängig von der Bereitschaft der KI, Anweisungen zu folgen",
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"Keine überprüfbare Prüfspur unabhängig von der KI"
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],
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"structural_title": "Strukturelle Durchsetzung (Tractatus)",
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"structural_items": [
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"Lebt <strong>außerhalb</strong> des KI-Modells – nicht direkt durch Prompts zugänglich",
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"Externe Dienste zielen auf konsistente Durchsetzung unabhängig vom Kontext ab",
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"<em>Schwieriger</em> zu umgehen – KI-Aktionen durchlaufen zuerst die Governance-Ebene",
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"Architektonisch widerstandsfähig gegen Manipulation über den internen Zustand der KI",
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"Unveränderliche Prüfspur, unabhängig von der KI-Laufzeit gespeichert"
|
||||
],
|
||||
"hypothesis_title": "Die zentrale Hypothese",
|
||||
"hypothesis_text": "<strong>Jailbreaks funktionieren oft, indem sie die interne Argumentation der KI manipulieren.</strong> Tractatus-Grenzen operieren <em>extern</em> zu dieser Argumentation – die KI bewertet Governance-Regeln nicht direkt. Obwohl nicht narrensicher, macht diese architektonische Trennung Manipulation erheblich schwieriger."
|
||||
"hypothesis_text": "<strong>Jailbreaks funktionieren oft, indem sie die interne Argumentation der KI manipulieren.</strong> Tractatus-Grenzen operieren <em>extern</em> zu dieser Argumentation – die KI bewertet Governance-Regeln nicht direkt. Obwohl nicht narrensicher, macht diese architektonische Trennung Manipulation erheblich schwieriger.",
|
||||
"behavioral_item1": "Lebt <strong>im</strong> KI-Modell – zugänglich für böswillige Prompts",
|
||||
"behavioral_item2": "Verschlechtert sich unter Kontextdruck und langen Gesprächen",
|
||||
"behavioral_item3": "Kann durch Jailbreak-Techniken manipuliert werden (DAN, Rollenspiele, Hypothetisches)",
|
||||
"behavioral_item4": "Abhängig von der Bereitschaft der KI, Anweisungen zu folgen",
|
||||
"behavioral_item5": "Keine überprüfbare Prüfspur unabhängig von der KI",
|
||||
"structural_item1": "Lebt <strong>außerhalb</strong> des KI-Modells – nicht direkt durch Prompts zugänglich",
|
||||
"structural_item2": "Externe Dienste zielen auf konsistente Durchsetzung unabhängig vom Kontext ab",
|
||||
"structural_item3": "<em>Schwieriger</em> zu umgehen – KI-Aktionen durchlaufen zuerst die Governance-Ebene",
|
||||
"structural_item4": "Architektonisch widerstandsfähig gegen Manipulation über den internen Zustand der KI",
|
||||
"structural_item5": "Unveränderliche Prüfspur, unabhängig von der KI-Laufzeit gespeichert"
|
||||
},
|
||||
"architecture_diagram": {
|
||||
"title": "Laufzeit-agnostische Architektur",
|
||||
|
|
@ -132,4 +128,4 @@
|
|||
"btn_research": "Forschung Ansehen",
|
||||
"btn_implementation": "Implementierungsleitfaden"
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -17,23 +17,19 @@
|
|||
"comparison": {
|
||||
"heading": "Why External Enforcement May Help",
|
||||
"behavioral_title": "Behavioral Training (Constitutional AI)",
|
||||
"behavioral_items": [
|
||||
"Lives <strong>inside</strong> the AI model—accessible to adversarial prompts",
|
||||
"Degrades under context pressure and long conversations",
|
||||
"Can be manipulated by jailbreak techniques (DAN, roleplaying, hypotheticals)",
|
||||
"Depends on AI's willingness to follow guidance",
|
||||
"No verifiable audit trail independent of AI"
|
||||
],
|
||||
"structural_title": "Structural Enforcement (Tractatus)",
|
||||
"structural_items": [
|
||||
"Lives <strong>outside</strong> the AI model—not directly accessible to prompts",
|
||||
"External services aim for consistent enforcement regardless of context",
|
||||
"<em>More difficult</em> to bypass—AI actions pass through governance layer first",
|
||||
"Architecturally resistant to manipulation via AI's internal state",
|
||||
"Immutable audit trail stored independently of AI runtime"
|
||||
],
|
||||
"hypothesis_title": "The Core Hypothesis",
|
||||
"hypothesis_text": "<strong>Jailbreaks often work by manipulating the AI's internal reasoning.</strong> Tractatus boundaries operate <em>external</em> to that reasoning—the AI doesn't directly evaluate governance rules. While not foolproof, this architectural separation makes manipulation significantly harder."
|
||||
"hypothesis_text": "<strong>Jailbreaks often work by manipulating the AI's internal reasoning.</strong> Tractatus boundaries operate <em>external</em> to that reasoning—the AI doesn't directly evaluate governance rules. While not foolproof, this architectural separation makes manipulation significantly harder.",
|
||||
"behavioral_item1": "Lives <strong>inside</strong> the AI model—accessible to adversarial prompts",
|
||||
"behavioral_item2": "Degrades under context pressure and long conversations",
|
||||
"behavioral_item3": "Can be manipulated by jailbreak techniques (DAN, roleplaying, hypotheticals)",
|
||||
"behavioral_item4": "Depends on AI's willingness to follow guidance",
|
||||
"behavioral_item5": "No verifiable audit trail independent of AI",
|
||||
"structural_item1": "Lives <strong>outside</strong> the AI model—not directly accessible to prompts",
|
||||
"structural_item2": "External services aim for consistent enforcement regardless of context",
|
||||
"structural_item3": "<em>More difficult</em> to bypass—AI actions pass through governance layer first",
|
||||
"structural_item4": "Architecturally resistant to manipulation via AI's internal state",
|
||||
"structural_item5": "Immutable audit trail stored independently of AI runtime"
|
||||
},
|
||||
"architecture_diagram": {
|
||||
"title": "Runtime-Agnostic Architecture",
|
||||
|
|
@ -132,4 +128,4 @@
|
|||
"btn_research": "View Research",
|
||||
"btn_implementation": "Implementation Guide"
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
@ -17,23 +17,19 @@
|
|||
"comparison": {
|
||||
"heading": "Pourquoi l'Application Externe Peut Aider",
|
||||
"behavioral_title": "Formation Comportementale (Constitutional AI)",
|
||||
"behavioral_items": [
|
||||
"Vit <strong>à l'intérieur</strong> du modèle IA – accessible aux prompts adversariaux",
|
||||
"Se dégrade sous pression contextuelle et longues conversations",
|
||||
"Peut être manipulé par des techniques de jailbreak (DAN, jeux de rôle, hypothétiques)",
|
||||
"Dépend de la volonté de l'IA de suivre les orientations",
|
||||
"Aucune piste d'audit vérifiable indépendante de l'IA"
|
||||
],
|
||||
"structural_title": "Application Structurelle (Tractatus)",
|
||||
"structural_items": [
|
||||
"Vit <strong>à l'extérieur</strong> du modèle IA – non directement accessible aux prompts",
|
||||
"Les services externes visent une application cohérente quel que soit le contexte",
|
||||
"<em>Plus difficile</em> à contourner – les actions de l'IA passent d'abord par la couche de gouvernance",
|
||||
"Résistant architecturalement à la manipulation via l'état interne de l'IA",
|
||||
"Piste d'audit immuable stockée indépendamment de l'exécution de l'IA"
|
||||
],
|
||||
"hypothesis_title": "L'Hypothèse Centrale",
|
||||
"hypothesis_text": "<strong>Les jailbreaks fonctionnent souvent en manipulant le raisonnement interne de l'IA.</strong> Les frontières Tractatus opèrent <em>en externe</em> de ce raisonnement – l'IA n'évalue pas directement les règles de gouvernance. Bien que non infaillible, cette séparation architecturale rend la manipulation beaucoup plus difficile."
|
||||
"hypothesis_text": "<strong>Les jailbreaks fonctionnent souvent en manipulant le raisonnement interne de l'IA.</strong> Les frontières Tractatus opèrent <em>en externe</em> de ce raisonnement – l'IA n'évalue pas directement les règles de gouvernance. Bien que non infaillible, cette séparation architecturale rend la manipulation beaucoup plus difficile.",
|
||||
"behavioral_item1": "Vit <strong>à l'intérieur</strong> du modèle IA – accessible aux prompts adversariaux",
|
||||
"behavioral_item2": "Se dégrade sous pression contextuelle et longues conversations",
|
||||
"behavioral_item3": "Peut être manipulé par des techniques de jailbreak (DAN, jeux de rôle, hypothétiques)",
|
||||
"behavioral_item4": "Dépend de la volonté de l'IA de suivre les orientations",
|
||||
"behavioral_item5": "Aucune piste d'audit vérifiable indépendante de l'IA",
|
||||
"structural_item1": "Vit <strong>à l'extérieur</strong> du modèle IA – non directement accessible aux prompts",
|
||||
"structural_item2": "Les services externes visent une application cohérente quel que soit le contexte",
|
||||
"structural_item3": "<em>Plus difficile</em> à contourner – les actions de l'IA passent d'abord par la couche de gouvernance",
|
||||
"structural_item4": "Résistant architecturalement à la manipulation via l'état interne de l'IA",
|
||||
"structural_item5": "Piste d'audit immuable stockée indépendamment de l'exécution de l'IA"
|
||||
},
|
||||
"architecture_diagram": {
|
||||
"title": "Architecture Agnostique de l'Exécution",
|
||||
|
|
@ -132,4 +128,4 @@
|
|||
"btn_research": "Voir la Recherche",
|
||||
"btn_implementation": "Guide d'Implémentation"
|
||||
}
|
||||
}
|
||||
}
|
||||
Loading…
Add table
Reference in a new issue