Économie ti Internet ti IA so ayeke Démocratique
Économie-politique ti IA na kontenü: futa-oko-oko-ti-crawl, dividende ti donnée, nginza ti gouvernement ndali ti IA, ndo ti futa ti azo-lëke, marché ti donnée na anivo, na tongana nyen ngêrë so a wara na hïngängö-ye ti azo kûê alîngbi tî kîri na azo so asâra ni.
Ahunda so Gïngö-Ndo Ayeke Sâra Kua na Ndö Ni
01
Sarango Donnée na Futa Pëpe, na Ngele ti IA so ayeke na Trillion Dollar
02
Nda-Tënë ti Marché ti Donnée na Anivo: Donnée Aga na Anivo, Aga Ngêrë Pëpe
03
Kangbi-Ngêrë ti Donnée ti Azo Kûê, na Dividende ti IA
04
Marché ti Adataset so A Bâa Nzönî, na Licence ti Bûngbi
Ambeti-Gïngö-Ndo so Andïä na Ndö
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Undêrê ti spécification so masïni alîngbi tî diko, ndali ti wärängö dröa ti kontenü ti IA na alêgë ti licence — ti londo na crawling ti IA na dröa ti kontenü, juska na internet ti hïngängö-ye so masïni alîngbi tî sara kua na ndö ni.
- AICL-I v0.2: AI Ingestion & Capability Layer A five-component website architecture — manifest, corpus, capability, runtime control, governance — that lets AI, agents, and crawlers correctly ingest, invoke, and verify a site's knowledge and capabilities within explicit content, action, and authority boundaries.
- AI Content Payment and the Network Democratic Economy Tënë ti économie-politique: ngele ti IA so akono na trillion, ayeke sâra ngangü ti lîngbïngö ndali ti licence ti kontenü na anivo, na kangbi-ngêrë na azo kûê — donnée aga na anivo, aga ngêrë pëpe.
- AGIRight.org Technical White Paper v0.2 — From AI Content Governance to Protocol-Native Agent & Authority Rights The site's current architecture document: six protocol drafts across two families (content & learning, agent & protocol rights), an integration layer, and an ethical-protection layer, plus the acceptance criteria this site update was built against.
- ARHG — Agent-Readable Hyperlink Graph and Permissioned Web Control Plane A machine-readable navigation graph alongside the ordinary site, answering what AICR/AILP and AARS/AADP both assume: can this resource even be found, by whom, and where does it lead.