Ekonomi ya Network ya Temokrasi ya AI
Ekonomi-polotiki ya AI le diteng: pay-per-crawl, diabelo tša data, mafapha a data a naga, dikologanyo tša moputso wa bahlami, mebaraka ya data ya maemo, le kamoo boleng bjo bo ntšhitšwego tsebong ya phatlalatša bo ka bušetšwago go bao ba bo hlamilego.
Dipotšišo tše di Nyakišišwago
01
Go diriša data ka mahala kgahlanong le ditheko tša AI tša di-trillion
02
Kgopolo ya mmaraka wa data wa maemo: data e fetoga ya maemo, e sego e turago
03
Go abelana poelo ya data ya phatlalatša le diabelo tša AI
04
Mebaraka ya dikologanyo tša data tše di netefaditšwego le laesense ya sehlopha
Dipukwana tše Tšhweu tše Amanago
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Legora la ditlhaloso tše di balwago ke metšhene bakeng sa go phatlalatša ditokelo tša diteng tša AI le mekgwatiro ya laesense — go tloga go go hlokomelwa ke AI le ditokelo tša diteng go ya inthaneteng ya tsebo yeo metšhene e ka dirišanago ditshepedišo go yona.
- 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 Kgang ya ekonomi-polotiki: theko ya AI ya di-trillion e hlola kgateletšo ya tumelelo bakeng sa laesense ya diteng ka maemo le go abelana mohola wa setšhaba — data e fetoga ya go arolwa ka maemo, e sego e turago.
- 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.