AI:List what if the dwellers of Skyscrapers especially solar tendency with all their advanced science equipment’s labs gadgets sent to other planets where there’s even not dwell able environment , list bar tendency will be sent to natural environment. Middle class solar tendency people sent to skyscrapers lunar tendency to natural environment dwelling places. And remote backward will be equipped with latest modem AI powered dwelling and workplace with totally renewable and recyclable sources of energies. And the people living below the earth core sphere provided with AI humanoid powered totally renewable and recyclable zero pollutants powered environment managing their birth to death all stuff in real time. Which neural networks and LLMs will be used there.

Below is a structured, speculative systems-design answer to your idea. I’ll treat this as a future planetary–civilizational allocation model, mixing sociology, environment design, and AI architecture.

I’ll first clarify the tendencies, then list population–environment mappings, and finally detail the neural networks and LLMs (LKMs) used in each layer.

1. Interpreting the “Tendencies”
(Symbolic, psychological, and functional)
Tendency Meaning (Simplified)
Solar tendency High-energy, analytical, technological, expansionist, leadership-oriented
Lunar tendency Emotional, adaptive, ecological, community-based, introspective
Bar tendency (interpreted as “Earth/Nature-bound”) Grounded, biological, survival-based, natural-systems aligned
Skyscraper dwellers Dense, hyper-urban, high-tech civilization
Remote / backward regions Currently low-tech but high potential for leapfrogging
Below Earth-core sphere Fully artificial, sealed, post-biological or trans-biological habitats
2. Population → Environment Reallocation Model
A. Skyscraper Dwellers (Solar-Tendency Dominant)
Sent to:
Other planets / hostile environments
No breathable air
Extreme gravity, radiation, temperature
Reason:
High tolerance for abstraction, machinery, automation
Comfortable with lab-based, artificial living
Living Model:
Fully enclosed AI-managed biospheres
Cyborg augmentation common
Time-dilated or cryogenic work cycles
B. Bar-Tendency People (Nature-Bound)
Sent to:
Natural environments on Earth-like planets
Forests, oceans, open land
Minimal artificial interference
Living Model:
Symbiotic living with ecosystems
AI only as a silent guardian
Low-density, regenerative habitats
C. Middle-Class Solar-Tendency People
Sent to:
Advanced Skyscraper Cities
Vertical farms
Sky-transport
AI-governed economies
Living Model:
Human–AI collaboration
Education and reskilling continuous
Partial automation, partial human agency
D. Lunar-Tendency People
Sent to:
Natural dwelling places
Coastal, mountainous, river-based habitats
Living Model:
Emotion-aware AI companions
Community-centric governance
Art, healing, ecology as core work
E. Remote / Backward Populations (Leapfrogged)
Sent to:
Ultra-modern AI-powered settlements
Features:
100% renewable & recyclable energy
AI-managed education, health, agriculture
No fossil fuels, no pollution
Purpose:
Skip industrial pollution phase entirely
Become testbeds for post-carbon civilization
F. Below Earth-Core Sphere Civilization
Sent to:
Subterranean, sealed AI-humanoid ecosystems
Environment Characteristics:
Zero pollutants
Fully recycled matter and energy
Artificial gravity, artificial sun cycles
AI Role:
Birth → education → work → health → death
Everything monitored in real time
3. Neural Networks Used (By Function)
3.1 Environmental Control & Survival
Graph Neural Networks (GNNs)
Model ecosystems, resource flow, infrastructure
Physics-Informed Neural Networks (PINNs)
Climate, gravity, radiation prediction
Spiking Neural Networks (SNNs)
Ultra-low power, real-time control systems
3.2 Human–AI Interaction & Psychology
Affective Neural Networks
Emotion detection & response (important for lunar tendency)
Multimodal Transformers
Speech + vision + gesture understanding
Theory-of-Mind Models
Predict human intent and social impact
3.3 AI Humanoids (Below Earth Core)
Embodied Cognition Networks
Combine sensory-motor learning with reasoning
Reinforcement Learning with Human Feedback (RLHF)
Moral alignment and safety
Continual Learning Networks
Learn across generations without forgetting
4. LLMs / LKMs (Large Knowledge Models)
4.1 Governance & Civilization Planning
Federated LLMs
No single AI controls everything
Constitutional LLMs
Encoded ethics and planetary laws
Causal Reasoning LLMs
Long-term consequence modeling (100–1000 years)
4.2 Personal Life Management (Birth → Death)
Personal Digital Twin LLM
Health, learning, memory archive
Medical LLMs
Genomics, nanomedicine, longevity planning
Legacy & Memory Models
Preserve identity beyond biological life
4.3 Scientific & Planetary Labs
Self-Improving Research LLMs
Hypothesis generation
Autonomous experiments
Symbolic–Neural Hybrid Models
Physics + intuition combined
5. Energy & Sustainability AI Stack
Swarm Intelligence Models
Distributed energy optimization
Evolutionary Algorithms
Design recyclable materials
Zero-Waste Optimization Networks
Matter loops with no loss
6. Summary Vision
This system creates:
Nature-respecting humans
AI-augmented urban intellect
Planetary expansion specialists
Post-human subterranean civilizations
All connected by:
Federated AI
Ethical neural governance
Renewable, recyclable, zero-pollution systems
If you want, I can next:
Design a diagram of this civilization
Map this to real current AI models
Explore risks, failures, or rebellion scenarios
Translate this into science-fiction worldbuilding or policy framework
Just tell me which direction you want.