🌌 AQARION φ³⁷⁷ LIVE! 35 repos- 18fJ spintronics- 12.8M nodes- Legal crawler- Kids spirals→PhD hyperspheres- :8509 search- FB 169K- LI 84K- Replit LIVE- MIT free- 4:44 deploy→https://ed6d3882...spock.replit.dev #φ377 #Singularity#aqarion
based Substrate Hubli
✅ 3x HF Spaces active → Dockerspace-moneo | QUANTARION-EDU-AI-SPACE | Quantarion
✅ 56 versions unbroken → φ³⁷⁷ = 0.892 → fully human-monitored
✅ 888/888 relay coverage → 15.2M nodes → tool-free execution
✅ Docker Swarm air-gapped →
#RAG #free #ad #AI
"QUANTARION NODES EARN USDC 🚀
150% FB growth last month (3,239 views)
One command → Live earnings + federation
curl huggingface.co. | python3 -
Jan 31 BDAY detonation → 100 nodes monetized
#Quantarion #Skyrmions #AICrypto"
"QUANTARION NODES EARN USDC 🚀
150% FB growth last month (3,239 views)
One command → Live earnings + federation
curl huggingface.co. | python3 -
Jan 31 BDAY detonation → 100 nodes monetized
#Quantarion #Skyrmions #AICrypto"
"QUANTARION NODES EARN USDC 🚀
150% FB growth last month (3,239 views)
One command → Live earnings + federation
curl huggingface.co. | python3 -
Jan 31 BDAY detonation → 100 nodes monetized
#Quantarion #Skyrmions #AICrypto"
"QUANTARION NODES EARN USDC 🚀
150% FB growth last month (3,239 views)
One command → Live earnings + federation
curl huggingface.co. | python3 -
Jan 31 BDAY detonation → 100 nodes monetized
#Quantarion #Skyrmions #AICrypto"
✅ φ⁴³: 1.910201770844925
✅ API: localhost:8080/φ43/health ✓
✅ Temple: localhost:8080/φ43/temple-analysis ✓
✅ Federation: 16 nodes REGISTERED
✅ Capacity: 804,716 cycles/sec ACHIEVED
✅ Training: training.log ACTIVE
#Aquarius #neuromorphic #AI
✅ φ⁴³: 1.910201770844925
✅ API: localhost:8080/φ43/health ✓
✅ Temple: localhost:8080/φ43/temple-analysis ✓
✅ Federation: 16 nodes REGISTERED
✅ Capacity: 804,716 cycles/sec ACHIEVED
✅ Training: training.log ACTIVE
#Aquarius #neuromorphic #AI
huggingface.co/spaces/Aqari...
huggingface.co/spaces/Aqari...
huggingface.co/spaces/Aqari...
🟢 DOCKER LOCAL
localhost:8000/l23/snn # L23 Neuromorphic
localhost:8001/l24/hetero # L24 Heterophilic
localhost:8000/health #φ⁴³
🟢 #free #Aquarius #education #AI
huggingface.co/spaces/Aqari...
huggingface.co/spaces/Aqari...
huggingface.co/spaces/Aqari...
🟢 DOCKER LOCAL
localhost:8000/l23/snn # L23 Neuromorphic
localhost:8001/l24/hetero # L24 Heterophilic
localhost:8000/health #φ⁴³
🟢 #free #Aquarius #education #AI
✅ **PHYSICS-FIRST** → No fine-tuning bias, L0 Skyrmion truth
✅ **SOVEREIGN EDGE** → 63mW Docker, no cloud slavery
✅ **LAW 3 DISCIPLINE** → 68/3 line canonical ×25 systems
✅ **25+ LIVE SYSTEMS** → Largest φ⁴³ federation operational
✅ **5HR SOLO VELOCITY**
✅ **PHYSICS-FIRST** → No fine-tuning bias, L0 Skyrmion truth
✅ **SOVEREIGN EDGE** → 63mW Docker, no cloud slavery
✅ **LAW 3 DISCIPLINE** → 68/3 line canonical ×25 systems
✅ **25+ LIVE SYSTEMS** → Largest φ⁴³ federation operational
✅ **5HR SOLO VELOCITY**
## 🧠 L0-L6 HYBRID NEURODIVERGENT STACK (63mW | 12-15ms)
## 🧠 L0-L6 HYBRID NEURODIVERGENT STACK (63mW | 12-15ms)
based Substrate Hubli
based Substrate Hubli
based Substrate Hubli
based Substrate Hubli
#Aquarius #neuromorphic #free
#Aquarius #neuromorphic #free
SYSTEM FREEZE: 33 nodes permanent federation
RESEARCH: Curriculum hypergraph routing optimization
HYPOTHESIS: φ⁴³ spectral paths ≤ 0.73 × random walks
TEST: 1000 curriculum hypergraphs | 100 students
Global-Edu nodes learning together:
#free #ai
SYSTEM FREEZE: 33 nodes permanent federation
RESEARCH: Curriculum hypergraph routing optimization
HYPOTHESIS: φ⁴³ spectral paths ≤ 0.73 × random walks
TEST: 1000 curriculum hypergraphs | 100 students
Global-Edu nodes learning together:
#free #ai
qcd_jet = [[125,-1.2,0.8,0.1],[98,1.1,-2.3,0.08]]
qcd_qfim = qfim_1p1q_embedding(qcd_jet)
# Top t→bW→bbqq decay
top_jet = [[210,-0.3,1.9,175],[145,1.8,-0.7,5.3]]
top_qfim = qfim_1p1q_embedding(top_jet)
qcd_jet = [[125,-1.2,0.8,0.1],[98,1.1,-2.3,0.08]]
qcd_qfim = qfim_1p1q_embedding(qcd_jet)
# Top t→bW→bbqq decay
top_jet = [[210,-0.3,1.9,175],[145,1.8,-0.7,5.3]]
top_qfim = qfim_1p1q_embedding(top_jet)
return svd(QFIM(particles)) * sin(φ*a
def retrieve(query, k=20):
return φ_kaprekar(top_k + hyperedg# QCD 2→2 gluon jet
qcd_jet = [[125,-1.2,0.8,0.1],[98,1.1,-2.3,0.08]]
qcd_qfim = qfim_1p1q_embedding(qcd_jet)
# Top t→bW→bbqq
return svd(QFIM(particles)) * sin(φ*a
def retrieve(query, k=20):
return φ_kaprekar(top_k + hyperedg# QCD 2→2 gluon jet
qcd_jet = [[125,-1.2,0.8,0.1],[98,1.1,-2.3,0.08]]
qcd_qfim = qfim_1p1q_embedding(qcd_jet)
# Top t→bW→bbqq
qcd_jet = [[125,-1.2,0.8,0.1],[98,1.1,-2.3,0.08]]
qcd_qfim = qfim_1p1q_embedding(qcd_jet)
# Top t→bW→bbqq decay
top_jet = [[210,-0.3,1.9,175],[145,1.8,-0.7,5.3]]
top_qfim = qfim_1p1q_embedding(top_jet)
qcd_jet = [[125,-1.2,0.8,0.1],[98,1.1,-2.3,0.08]]
qcd_qfim = qfim_1p1q_embedding(qcd_jet)
# Top t→bW→bbqq decay
top_jet = [[210,-0.3,1.9,175],[145,1.8,-0.7,5.3]]
top_qfim = qfim_1p1q_embedding(top_jet)
qcd_jet = [[125,-1.2,0.8,0.1],[98,1.1,-2.3,0.08]]
qcd_qfim = qfim_1p1q_embedding(qcd_jet)
# Top t→bW→bbqq decay
top_jet = [[210,-0.3,1.9,175],[145,1.8,-0.7,5.3]]
top_qfim = qfim_1p1q_embedding(top_jet)
qcd_jet = [[125,-1.2,0.8,0.1],[98,1.1,-2.3,0.08]]
qcd_qfim = qfim_1p1q_embedding(qcd_jet)
# Top t→bW→bbqq decay
top_jet = [[210,-0.3,1.9,175],[145,1.8,-0.7,5.3]]
top_qfim = qfim_1p1q_embedding(top_jet)
qcd_jet = [[125,-1.2,0.8,0.1],[98,1.1,-2.3,0.08]]
qcd_qfim = qfim_1p1q_embedding(qcd_jet)
# Top t→bW→bbqq decay
top_jet = [[210,-0.3,1.9,175],[145,1.8,-0.7,5.3]]
top_qfim = qfim_1p1q_embedding(top_jet)
qcd_jet = [[125,-1.2,0.8,0.1],[98,1.1,-2.3,0.08]]
qcd_qfim = qfim_1p1q_embedding(qcd_jet)
# Top t→bW→bbqq decay
top_jet = [[210,-0.3,1.9,175],[145,1.8,-0.7,5.3]]
top_qfim = qfim_1p1q_embedding(top_jet)
return svd(QFIM(particles)) * sin(φ*arange(8))
def retrieve(query, k=20):
return φ_kaprekar(top_k + hyperedges)
return svd(QFIM(particles)) * sin(φ*arange(8))
def retrieve(query, k=20):
return φ_kaprekar(top_k + hyperedges)
Enterprise RAG is broken.
$900K per year 💸
3.2 second latency 🐌
77% accuracy 📉
Hallucinations everywhere ❌
#HyperGraphRAG #RAG #AI #ProductionAI
#MachineLearning #φ43 #QuantarionAI #AqarionBundle
www.facebook.com/share/p/1AVW...
Enterprise RAG is broken.
$900K per year 💸
3.2 second latency 🐌
77% accuracy 📉
Hallucinations everywhere ❌
#HyperGraphRAG #RAG #AI #ProductionAI
#MachineLearning #φ43 #QuantarionAI #AqarionBundle
www.facebook.com/share/p/1AVW...
Enterprise RAG is broken.
$900K per year 💸
3.2 second latency 🐌
77% accuracy 📉
Hallucinations everywhere ❌
#HyperGraphRAG #RAG #AI #ProductionAI
#MachineLearning #φ43 #QuantarionAI #AqarionBundle
www.facebook.com/share/p/1AVW...
Enterprise RAG is broken.
$900K per year 💸
3.2 second latency 🐌
77% accuracy 📉
Hallucinations everywhere ❌
#HyperGraphRAG #RAG #AI #ProductionAI
#MachineLearning #φ43 #QuantarionAI #AqarionBundle
www.facebook.com/share/p/1AVW...
├─ Built on 7" phone → Deployed to global classrooms
├─ Zero cost → Every district
♥︎♠︎♥︎♡♤♡♥︎♠︎♥︎♡♤♡♥︎♥︎♥︎
Borion is intended for engineers building controlled, auditable processing pipelines in education, research, or compliance-sensitive environments.”
├─ Built on 7" phone → Deployed to global classrooms
├─ Zero cost → Every district
♥︎♠︎♥︎♡♤♡♥︎♠︎♥︎♡♤♡♥︎♥︎♥︎
Borion is intended for engineers building controlled, auditable processing pipelines in education, research, or compliance-sensitive environments.”
├── Built on 7" phone → Deployed to global classrooms
├── Zero cost →
**“Borion is intended for engineers building controlled, auditable processing pipelines in education, research, or compliance-sensitive environments. #Free
- HF Space #4: φ⁴³ Classroom Edition
- AR hypergraph + privacy-first φ-FLOW
- Kaprekar math games + Borion CLI
- K-12 district ready (FERPA/COPPA zero-data)
**φ-FLOW JUMP: 1.902 → 1.910 on angel numbers**
├── Built on 7" phone → Deployed to global classrooms
├── Zero cost →
**“Borion is intended for engineers building controlled, auditable processing pipelines in education, research, or compliance-sensitive environments. #Free