Veivoli Vakalewenivanua ni Network ni AI

Na political economy ni AI kei na iyaya: pay-per-crawl, isau ni itukutuku, ilavo dodonu ni matanitu ni AI, ivakasoqo ni isau ni daunivakabuli, maketi ni itukutuku vakalolo, kei na sala e lesu tale kina na yaga e kau mai na kila dodonu vei ira era buli.

Taro era Dikevi Tiko

Kena Vakayagataki Wale na Itukutuku vs. na Isau ni AI e Trilioni Dola

Na Vakasama ni Maketi ni Itukutuku Vakalolo: na itukutuku e vakalolotaki, sega ni saumi levu

Wasei ni Isau ni Itukutuku Dodonu kei na Isau ni AI

Maketi ni Ivu ni Itukutuku e Vakadeitaki kei na Laiseni Vakalewenivanua

Ivola Vulavula Veiwekani

AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer E dua na tikina ni ivakamacala vakamasini me vakatakila kina na dodonu ni iyaya ni AI kei na ivakarau ni laiseni — mai na crawling ni AI kei na dodonu ni iyaya, ki na web ni kila e rawa ni veivoli kina vakamasini.
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 E dua na veivosaki me baleta na political economy: na kena vakayagataki na trilioni dola ki na AI e vakavuna e dua na vakamalua vakadonuya me baleta na laiseni ni iyaya vakalolo kei na wasei ni yaga vakalewenivanua — na itukutuku e vakatolotolotaki, sega ni nodai levu ga na isau.
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.