Hupfumi hweNetiweki yeDemocracy yeAI
Hupfumi hwematongerwo enyika hweAI nezvinyorwa: pay-per-crawl, midhividhendi yedata, mari dzeAI dzenyika, mapool emuripo evagadziri, misika yedata yakaparadzaniswa nemasitepisi, uye kuti kukosha kunobviswa muruzivo rweveruzhinji kungadzokera sei kune avo vakarugadzira.
Mibvunzo Iri Kudzidzwa
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Kutorera pasina muripo kwedata kuenzaniswa nemitengo yeAI inosvika matiriyoni
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Nharo yemusika wedata wakaparadzaniswa nemasitepisi: data inova yakaparadzaniswa nemasitepisi, kwete inodhura
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Kugoverana Mari Yedata Yeveruzhinji nemidhividhendi yeAI
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Misika Yedataset Yakasimbiswa uye Rezinesi Rakabatanidzwa
Mapepa Machena Akafambirana
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Chinyorwa chinoverengeka nemuchina chekuzivisa kodzero dzezvinyorwa zveAI uye maitiro erezinesi — kubva pakutswakwa nemaAI nekodzero dzezvinyorwa kusvika kuwebhu yeruzivo inogona kuita mabhizinesi nemuchina.
- 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 Nharo yehupfumi-hwematongerwo enyika: mitengo yeAI inosvika matiriyoni inogadzira mutoro wekuti zvive pamutemo kuti pave nerezinesi yezvinyorwa yakaparadzaniswa nemasitepisi uye kugoverana zvakanaka kune veruzhinji — data inova yakaparadzaniswa nemasitepisi, kwete inodhura.
- 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.