Te Ōhanga Whatunga AI Manapori
Te ōhanga tōrangapū o te AI me te ihirangi: te utu-mō-ia-kaikohi, ngā utu wāhi raraunga, ngā pūtea AI mana-motuhake, ngā puna utu kaihanga, ngā mākete raraunga taumata-rite, me te pēhea e taea ai te hoki mai o te uara i tangohia mai i te mātauranga ā-iwi ki ngā kaihanga o taua mātauranga.
Ngā Pātai e Rangahauhia Ana
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Te Utukore o te Raraunga vs ngā Uara AI Tiriona-Tāra
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Te ariā mō te mākete raraunga whakataumata: ka whakataumatahia ngā raraunga, kaua e nui ake te utu
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Te tuarihanga moni whiwhi raraunga ā-iwi me ngā utu wāhi AI
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Ngā mākete puranga raraunga kua whakaūhia me te raihanatanga whakahiato
Ngā Pukapuka Mā e Pā Ana
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer He papa tautuhinga pānui-mīhini hei whakapuaki i ngā tika ihirangi AI me ngā tukanga raihanatanga — mai i te kohi AI me ngā tika ihirangi, tae noa ki tētahi ipurangi mātauranga e taea ana e te mīhini te whakawhitiwhiti utu.
- 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 He tautohe ā-ōhanga-ā-tōrangapū: nā ngā uara AI tāera-taera (miriona miriona tāra) i hanga he pēhitanga mana mō te raihanatanga ihirangi tāera, me te tuari painga ā-iwi — ka noho ngā raraunga hei mea tāera, kaua hei mea utu nui.
- 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.