Mbongo ya Kimvuka ya AI ya Demokrasi
Mbongo-mu-politiki ya AI ye kontenu: futa-konso-crawl, mfutu wa nzayilu, mbongo ya nsi-ntoto ya AI, zonto za mfutu wa nsadi, zonto za nzayilu za baniveo, ye ndenge ntalu yakatulwa muna nzayilu ya kimvuka ilenda vutuka kwa bawu bavanga yau.
Kiuvu ki nyekolwa
01
Kubaka Nzayilu Kondwa Kufuta va Ndambu ya Ntalu ya AI ya Trillion za Dolare
02
Lukanu lua zonto za nzayilu za baniveo: nzayilu keti kituka ya baniveo, ka ya ntalu yayingi kaka ko
03
Kikabu kia mbongo ya nzayilu ya kimvuka ye mfutu wa AI
04
Zonto za nzayilu zisyantikwa ye lisansi ya kimvuka
Minkanda mpembe ifwene
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Kimvuka kia spesifikasio kia kutangwa kwa masini mu diambu dia kusakula minsua mia kontenu kia AI ye masalu ma lisansi — tuka mu kutambula kwa AI ye minsua mia kontenu, tii kwa web ya zayi ilenda salakana mombongo kwa masini.
- 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 Mvovo wa mbongo ya kimvuka: mbongo ya AI ya kimemo kia trillion keti vanga lukumu lua kimfunu mu diambu dia lisansi ya kontenu ya baniveo ye kikabu kia mbongo ya kimvuka kioso — mambu ma zayi meti kituka ma baniveo, ka ma ntalu yayingi kaka ko.
- 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.