Idin Diajar AI
Naha AI kénging diajar, dugi ka kadalemanana kumaha, kanggo tujuan naon, sareng dina kawajiban naon. Dibaca sanés hartina dipaké diajar; “teu dilarang” sanés hartina “tiasa diajar”. AIRS sareng AILP ngarobih idin diajar janten spéktrum anu bertahap sareng tiasa dibaca ku mesin.
Patalékan anu diulik
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Kadaleman diajar: indeksasi, embedding, fine-tuning, latihan, distilasi
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Naha kabukaan anu can jelas dibersihkeun tina jalur latihan
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Kabukaan anu diprotokolkeun: ngajadikeun niat saé tiasa dilaksanakeun sacara mesin
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Modél kompénsasi anu kaiket kana kadaleman diajar
Whitepaper anu patali
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS sareng AILP nétélakeun idin diajar AI anu leuwih nuansa, ngaleuwihan sakadar diwidian/teu diwidian sacara binér — naon anu kénging diajar ku AI, dugi ka kadalemanana kumaha, kanggo pamakéan naon, kalayan kompénsasi kumaha.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Kabukaan anu can jelas ditapsirkeun salaku katidakpastian hukum ku jalur AI sareng dibersihkeun; ngan idin anu diprotokolkeun sareng tiasa dibaca ku mesin anu ngajadikeun kontén saleresna tiasa diajar.
- 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.