Economics n te Network n Democratic ibukin te AI
Ana Political Economy te AI ao Kanoa: Pay-Per-Crawl, Data Dividends, Sovereign AI Funds, Compensation Pools ibukiia Taani Karaoa, Makete n Data Aika Tiered, ao Aroni Manga-Okiraki Boona Man Ataibwai ae Public Nakoia Ake a Karaoia.
Titiraki Aika a Ukeukeaki
01
Kabonganaan Data n Akea Boona n Ekaanako Kabooan AI Aika a Boo n Trillion
02
Ana Iango te Tiered Data Market: E Riki Data Bwa Tiered, Tiaki bwa E Rangi ni Kumi
03
Tibwatibwaan Booboo Man Data ae Public ao Dividends n AI
04
Makete n Dataset Aika a Kakoauaki ao Licensing n Botaki
Boki n Ukeuke Aika a Irekereke
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Te Newe n Baaire ae Kona ni Warekaki irouni Mesin ibukin Kaotan Riain te AI n te Kanoa ao Waakin te Licensing — man Crawling irouni AI ao Riai n Kanoa nakon te Web n Ataibwai ae Kona ni Karaoaki Bitineti Mesin nako Iai.
- 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 Te Argument n Political-Economy: Kabooan AI aika a boo n Trillion a karika Kabaebaeaki ni Legitimacy ibukin Licensing n Kanoa ae Tiered ao Tibwatibwaan Booboo nakoia Aomata ni Kabaneia — e riki Data bwa Tiered, tiaki bwa e Rangi ni Kumi.
- 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.