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feat: Expand TechTree + add GitHub Pages health check protection
TechTree: - Expanded from 5 to 8 branches (32 total nodes) - Added AGENTS branch (IGLA Core, Tool Use, Long Context, Multi-Agent) - Added KNOWLEDGE branch (VSA, Knowledge Graph, Semantic Search, RAG) - Added DISTRIBUTED branch (Node Network, TVC Sharding, DePIN, Consensus) - Fixed grid alignment with 4 nodes per branch Protection: - Added pages-health-check.yml workflow - Runs every 15 minutes to check site health - Auto-triggers redeploy on 404 detection 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
1 parent 19d7044 commit 5ee6157

3 files changed

Lines changed: 249 additions & 8 deletions

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‎.github/workflows/pages-health-check.yml‎

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name: Pages Health Check
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on:
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schedule:
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- cron: '*/15 * * * *' # Every 15 minutes
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workflow_dispatch:
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permissions:
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contents: read
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actions: write
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jobs:
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check:
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runs-on: ubuntu-latest
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steps:
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- name: Check site health
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id: health
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run: |
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max_retries=3
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retry_count=0
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while [ $retry_count -lt $max_retries ]; do
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response=$(curl -s -o /dev/null -w "%{http_code}" --max-time 30 https://ghashtag.github.io/trinity/)
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if [ "$response" = "200" ]; then
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echo "Site is healthy (200 OK)"
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echo "status=healthy" >> $GITHUB_OUTPUT
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exit 0
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fi
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echo "Attempt $((retry_count + 1)): Site returned $response"
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retry_count=$((retry_count + 1))
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if [ $retry_count -lt $max_retries ]; then
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sleep 10
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fi
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done
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echo "Site is unhealthy after $max_retries attempts"
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echo "status=unhealthy" >> $GITHUB_OUTPUT
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echo "http_code=$response" >> $GITHUB_OUTPUT
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exit 1
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- name: Trigger redeploy on failure
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if: failure()
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uses: actions/github-script@v7
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with:
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script: |
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console.log('Site health check failed, triggering redeploy workflow...');
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await github.rest.actions.createWorkflowDispatch({
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owner: context.repo.owner,
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repo: context.repo.repo,
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workflow_id: 'deploy-docs.yml',
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ref: 'main'
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});
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console.log('Redeploy triggered successfully');

‎website/src/components/TechTree/techTreeData.ts‎

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@@ -130,7 +130,7 @@ export const techBranches: TechBranch[] = [
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status: 'done',
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branch: 'inference',
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prerequisites: ['inf-003'],
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unlocks: ['dep-003'],
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unlocks: ['dep-003', 'agent-001'],
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metrics: '8x throughput',
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x: 3,
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y: 1
@@ -242,7 +242,7 @@ export const techBranches: TechBranch[] = [
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status: 'done',
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branch: 'deployment',
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prerequisites: ['dep-003'],
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unlocks: [],
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unlocks: ['dist-001'],
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metrics: '< 50ms latency',
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x: 3,
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y: 3
@@ -287,10 +287,193 @@ export const techBranches: TechBranch[] = [
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status: 'locked',
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branch: 'hardware',
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prerequisites: ['hw-002'],
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unlocks: [],
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unlocks: ['hw-004'],
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metrics: '1000x efficiency',
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x: 2,
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y: 4
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},
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{
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id: 'hw-004',
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name: 'ASIC Design',
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description: 'Custom ternary chip design for maximum efficiency',
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status: 'locked',
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branch: 'hardware',
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prerequisites: ['hw-003'],
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unlocks: [],
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metrics: '10000x efficiency',
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x: 3,
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y: 4
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}
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]
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},
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{
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id: 'agents',
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name: 'AGENTS',
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color: '#FF1493',
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icon: '🤖',
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nodes: [
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{
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id: 'agent-001',
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name: 'IGLA Core',
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description: 'Instruction-based Generative Learning Architecture',
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status: 'done',
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branch: 'agents',
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prerequisites: ['inf-004'],
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unlocks: ['agent-002', 'agent-003'],
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metrics: 'v1.0 stable',
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x: 0,
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y: 5
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},
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{
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id: 'agent-002',
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name: 'Tool Use Engine',
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description: 'Local function calling and tool integration',
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status: 'done',
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branch: 'agents',
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prerequisites: ['agent-001'],
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unlocks: ['agent-004'],
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metrics: '50+ tools',
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x: 1,
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y: 5
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},
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{
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id: 'agent-003',
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name: 'Long Context',
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description: 'Unlimited history with adaptive context windows',
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status: 'done',
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branch: 'agents',
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prerequisites: ['agent-001'],
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unlocks: ['agent-004'],
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metrics: '∞ tokens',
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x: 2,
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y: 5
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},
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{
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id: 'agent-004',
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name: 'Multi-Agent',
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description: 'Coordinator + Specialist agent orchestration',
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status: 'in_progress',
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progress: 75,
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branch: 'agents',
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prerequisites: ['agent-002', 'agent-003'],
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unlocks: [],
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metrics: '8 specialists',
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x: 3,
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y: 5
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}
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]
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},
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{
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id: 'knowledge',
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name: 'KNOWLEDGE',
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color: '#00CED1',
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icon: '📚',
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nodes: [
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{
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id: 'know-001',
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name: 'VSA Core',
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description: 'Vector Symbolic Architecture with bind/bundle ops',
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status: 'done',
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branch: 'knowledge',
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prerequisites: [],
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unlocks: ['know-002'],
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metrics: '10K dims',
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x: 0,
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y: 6
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},
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{
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id: 'know-002',
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name: 'Knowledge Graph',
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description: 'Triple-based semantic networks with VSA encoding',
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status: 'done',
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branch: 'knowledge',
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prerequisites: ['know-001'],
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unlocks: ['know-003'],
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metrics: '1M triples',
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x: 1,
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y: 6
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},
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{
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id: 'know-003',
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name: 'Semantic Search',
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description: 'Cosine similarity search over hypervectors',
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status: 'done',
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branch: 'knowledge',
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prerequisites: ['know-002'],
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unlocks: ['know-004'],
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metrics: '<1ms query',
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x: 2,
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y: 6
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},
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{
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id: 'know-004',
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name: 'RAG Engine',
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description: 'Retrieval Augmented Generation with VSA',
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status: 'in_progress',
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progress: 80,
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branch: 'knowledge',
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prerequisites: ['know-003'],
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unlocks: [],
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metrics: '95% accuracy',
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x: 3,
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y: 6
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}
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]
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},
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{
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id: 'distributed',
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name: 'DISTRIBUTED',
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color: '#FFA500',
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icon: '🌐',
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nodes: [
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{
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id: 'dist-001',
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name: 'Node Network',
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description: 'Decentralized node discovery and routing',
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status: 'done',
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branch: 'distributed',
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prerequisites: ['dep-004'],
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unlocks: ['dist-002'],
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metrics: '1000+ nodes',
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x: 0,
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y: 7
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},
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{
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id: 'dist-002',
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name: 'TVC Sharding',
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description: 'Ternary Vector Computing distributed shards',
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status: 'in_progress',
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progress: 65,
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branch: 'distributed',
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prerequisites: ['dist-001'],
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unlocks: ['dist-003'],
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metrics: '256 shards',
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x: 1,
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y: 7
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},
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{
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id: 'dist-003',
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name: 'DePIN Network',
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description: 'Decentralized Physical Infrastructure with TRI rewards',
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status: 'locked',
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branch: 'distributed',
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prerequisites: ['dist-002'],
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unlocks: ['dist-004'],
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metrics: '$TRI mining',
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x: 2,
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y: 7
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},
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{
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id: 'dist-004',
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name: 'Global Consensus',
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description: 'Byzantine fault-tolerant consensus for ternary state',
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status: 'locked',
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branch: 'distributed',
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prerequisites: ['dist-003'],
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unlocks: [],
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metrics: '10K TPS',
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x: 3,
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y: 7
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}
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]
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}

‎website/src/components/sections/CalculatorSection.tsx‎

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@@ -4,13 +4,13 @@ import { motion } from 'framer-motion'
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import { useI18n } from '../../i18n/context'
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import Section from '../Section'
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// GPU pricing data ($/hour) - Market prices Feb 2025 (RunPod, Fluence)
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// TFLOPS = FP16 Tensor Core performance
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// GPU pricing ($/hour) - RunPod market prices Feb 2025
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// TFLOPS = FP16 Tensor Core (dense, no sparsity) - NVIDIA official specs
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const GPU_OPTIONS = [
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{ id: 'rtx4090', name: 'RTX 4090 (24GB)', price: 0.50, tflops: 330 }, // Best $/TFLOPS
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{ id: 'rtx4090', name: 'RTX 4090 (24GB)', price: 0.44, tflops: 330 }, // Best $/TFLOPS
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{ id: 'h100', name: 'NVIDIA H100 (80GB)', price: 2.85, tflops: 990 },
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{ id: 'l40s', name: 'NVIDIA L40S (48GB)', price: 1.0, tflops: 362 },
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{ id: 'a100', name: 'NVIDIA A100 (80GB)', price: 1.0, tflops: 312 },
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{ id: 'l40s', name: 'NVIDIA L40S (48GB)', price: 1.22, tflops: 362 },
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{ id: 'a100', name: 'NVIDIA A100 (80GB)', price: 1.89, tflops: 312 },
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]
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// Mining mode calculations

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