Chuma cha Ukonde wa AI Chotsatira Demokalase

Ndale-ndi-chuma za AI ndi zolemba: pay-per-crawl, migawo ya phindu la deta, mafuko a ndalama a AI a boma, mabungwe osunga malipiro a olemba, misika ya deta m'magulu, ndiponso mmene mtengo wotengedwa ku chidziwitso cha anthu onse ungabwerere kwa amene anachipanga.

Mafunso Omwe Akufufuzidwa

Kugwiritsa Ntchito Deta Kwaulere Poyerekeza ndi Mtengo wa AI wa Matiliyoni a Madola

Mfundo ya msika wa deta m'magulu: deta imakhala m'magulu, osati yokwera mtengo

Kugawana Phindu la Deta ya Anthu Onse ndi Migawo ya Chuma ya AI

Misika ya Deta Yotsimikizidwa ndi Layisensi Yagulu

Mabuku Oyera Ogwirizana

AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Gawo la mafotokozedwe owerengeka ndi makina la kulengeza ufulu wa zolemba za AI ndi njira za layisensi — kuyambira kuyenda kwa AI (crawling) ndi ufulu wa zolemba, mpaka intaneti ya chidziwitso yomwe makina angathe kuchitapo malonda.
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 Mfundo ya ndale-ndi-chuma: mtengo wa AI wokwana matiliyoni umapanga chikakamizo cha ulamuliro kuti pakhale layisensi ya zolemba m'magulu osiyanasiyana ndi kugawana phindu la anthu onse — deta imakhala m'magulu, osati yokwera mtengo.
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.