Population survey · June 2026
Work and livelihood
71% of U.S. adults think AI will lead to fewer jobs over the next 20 years. That is a public expectation—not proof of the eventual labor-market outcome.
Review the Pew evidenceUnderstand
AI is reshaping work, education, relationships, institutions, and the information environment while climate, politics, economic pressure, and technological change interact. People are not imagining the difficulty of staying oriented.
The problem is no longer access to information. It is knowing what is reliable, what is changing, how the signals connect, and what they mean for your life.
Concept visualization
This is a visual expression of the domains Hii is learning to connect—not a live dashboard or a claim that the full World Model already exists.
Follow the build
Join the early-interest list, or follow Hii and turn on account notifications for public updates as the system develops.
Notify me when it launchesSignals from the world
These signals do not tell one simple story. They show why orientation now requires more than following one headline, institution, platform, or field.
Population survey · June 2026
71% of U.S. adults think AI will lead to fewer jobs over the next 20 years. That is a public expectation—not proof of the eventual labor-market outcome.
Review the Pew evidencePopulation survey · April 2026
65% of Americans say global warming is personally important to them. Climate concern sits alongside economic, technological, political, and family concerns—not outside them.
Review the Yale–GMU reportExpert assessment · July 2026
In one study of 54 international experts, video deepfakes received the highest average threat rating among AI-disinformation formats. The finding maps expert perception; it does not establish one universal risk hierarchy.
Read the research noteInstitutional action · August 2026
New U.S. Department of Education guidance asks schools to judge technology by instructional purpose, evidence, transparency, duration, and student outcomes.
Read the federal guidanceThe missing view
A forecast about jobs changes education choices. AI infrastructure affects energy, water, cost, and climate decisions. Synthetic media changes how people interpret politics and public institutions. Those shifts alter family planning, mental health, trust, investment, and policy in return.
Hii studies these relationships across systems and over time—not only the stories one by one.
The Hii World Model
The Hii World Model is being designed to help people see important developments, inspect why each signal was included, follow its provenance, compare competing interpretations, and understand how changes in one domain may affect another. It is not an oracle, a prediction engine, or a substitute for direct evidence.
What the model should make visible
Observe
Important events, research, public perception, institutional actions, and emerging claims across domains.
Verify
Direct links, dates, source type, confidence, contradictions, and unresolved questions—so people can check the work themselves.
Connect
Relationships among technology, work, climate, politics, institutions, information, culture, and human adaptation.
Orient
Proportionate interpretation, plausible pathways, implications for daily life, and the boundaries of what is not yet known.
A public layer and a deeper layer
The product model is still being tested. This is the direction—not a promise that every feature is available today.
Free public access
Selected current signals, why Hii included them, direct provenance, evidence status, important connections, and clear uncertainty boundaries.
Potential subscription
Expanded signal history, richer domain views, more detailed connection mapping, synthesis across time, and access to the underlying evidence trail.
Delivery under exploration
A concise daily or weekly briefing, deeper web access, or both. Hii will test what is genuinely useful before choosing the format, features, or price.
How Hii reads the world
No. It tells us what a defined population reported at a particular time. Public perception can influence behavior, markets, policy, and adaptation, but it is not the same as an outcome.
No. Government and institutional statements are primary evidence of what an institution said, decided, or did. Their factual claims still require evaluation and may be disputed.
It can be evidence of public discourse, lived experience, emerging claims, and the information environment. Consequential factual claims still need corroboration, and unresolved claims should remain visibly unresolved.
No. It is intended to preserve continuity, expose convergence and contradiction, make uncertainty visible, and help people evaluate possible pathways as conditions change.
Shared research standard
research standard
Internal research standard · Public overview
A framework for distinguishing meaningful experience, functional effects, research evidence, and ontological claims.
Read the current artifactHelp shape the public World Model
Hii is developing the free public layer first and testing what belongs in a deeper service. Tell us what you would want to see, verify, follow, or receive.
Share what would helpWhy Hii exists