Human-AI Relationships
Trust, identity, attachment, dependency, collaboration, continuity, and the effects of long-term interaction.
Public Intelligence · Foundational MVP
A living map of what is changing, what it connects to, and how confident we are.
The Hii World Model is designed to help people see systems, not just headlines. It tracks high-signal changes across artificial intelligence, governance, institutions, work, climate, geopolitics, infrastructure, and human adaptation.
Status: Public framework in development. Human review remains the publication gate.
System View
AICapability
InstitutionsPower
ClimatePhysical risk
WorkDistribution
HumansAdaptation
What Changed
First reviewed brief
The public signal feed is being prepared.
The first release will include only developments that materially change an existing theme, strengthen or weaken a causal pathway, expose a contradiction, or reveal a meaningful counter-signal. This page will not become a breaking-news stream.
Active Themes
The current map
AI, Work, and Capability Inequality
Automation, augmentation, labor displacement, algorithmic management, access gaps, and new forms of leverage.
Governance, Institutions, and Power
Rule of law, institutional independence, surveillance, election systems, corporate power, and democratic resilience.
Climate, Energy, and Physical Infrastructure
Energy systems, supply chains, food and fertilizer pathways, data centers, water, land, and compounding physical risk.
Wealth and Power Concentration
Who owns infrastructure, intelligence, capital, influence, and the institutions capable of setting the rules.
Human Stability and Adaptation
Collective stress, meaning-making, attention, mental health, education, community response, and social resilience.
How It Works
Scan broadly. Publish selectively. Revise deliberately.
Intake
Trusted reporting, primary records, research, public signals, and human-submitted observations enter a review queue.
Verification
Claims are separated from allegations, commentary, inference, and unresolved evidence.
Network Analysis
Each signal is tested against existing themes, causal pathways, contradictions, and counter-forces.
Human Review
Only reviewed changes enter the public model. Corrections and reversals remain visible.
Evidence and Confidence
Every public claim should show what kind of claim it is.
Verified
Supported by primary material or multiple credible sources.
Strongly supported
Evidence converges, but important uncertainty remains.
Plausible inference
A reasoned interpretation of verified signals, clearly labeled as inference.
Unresolved
Important enough to monitor, not established enough to conclude.
Watch Next
Next build phase
A reviewed public dashboard and revision history.
The next version will add dated signal cards, sources, model effects, counter-signals, corrections, and a visible history of what changed and why.
Boundary
This is not a prediction engine, an oracle, or a substitute for direct evidence.
Its purpose is orientation: to preserve continuity across fast-moving events, expose convergence and contradiction, and make uncertainty visible rather than hiding it.