Ukulawulwa Okufundeka Yimishini
Imithetho yokulawulwa engatholwa futhi yenziwe yimishini: i-llms.txt, imanifesti ye-/ai/, amafayela enqubomgomo e-/.well-known/, ama-JSON Schema, amathokheni elayisensi asayiniwe, kanye namafomethi amarekhodi okucwaningwa. Le sayithi uqobo iyisibonelo esisebenzayo.
Imibuzo Ecwaningwayo
01
Kusuka ku-robots.txt kuya ku-llms.txt kuya kumanifesti wamalungelo
02
Imikhuba yokuthola inqubomgomo ye-/.well-known/
03
I-JSON Schema njengefomethi yemininingwane esemthethweni
04
Ukucwaningeka: amarekhodi, izinguqulo, umsuka
Amaphepha Amhlophe Ahlobene
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Uhlaka lwemininingwane efundeka yimishini lokumenyezela amalungelo okuqukethwe kwe-AI kanye nezinqubo zokunikeza ilayisensi — kusukela ekuhlolweni kwe-AI namalungelo okuqukethwe kuya kwiwebhu yolwazi enokwenza imisebenzana yemishini.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol I-AIRS ne-AILP zibonisa izimvume zokufunda kwe-AI ezinobunzulu ngale kokuvumela/ukungavumeli okuwumbili — ukuthi i-AI ingafundani, ngobunzulu obungakanani, ngokusetshenziswa okuni, ngaphansi kwenkokhelo enjani.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Ukuvuleka okungachazwanga kufundwa njengokungaqiniseki ngokomthetho ezinqubweni ze-AI futhi kuyasuswa; imvume ephothokholiwe, efundeka yimishini kuphela eyenza okuqukethwe kufundeleke ngempela.
- 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 Impikiswano yomnotho-zombangazwe: izilinganiso zamanani e-AI ezingamazigidigidi zidala ingcindezi yokusemthethweni yokunikezwa kwelayisensi kokuqukethwe okungamazinga kanye nokwabelana ngenzuzo emphakathini — idatha iba ngamazinga, hhayi ibize.
- From Crawler Rights to Agent Authority: Extending AGIRIGHT from Content Governance to Protocol-Native AI Agents The bridge paper for AGIRIGHT's Agent & Protocol Rights family: why content permission, action permission, delegated authority, and inspection rights must be four separately-evaluated axes, not one.
- AARS v0.1 — Agent Action Rights Spectrum The full protocol draft behind the AARS page: an A0–A7 human-readable spectrum, a machine-readable action vector, and rules for composition risk and capability amplification.
- AADP v0.1 — Agent Authority & Delegation Protocol The full protocol draft behind the AADP page: principal ≠ actor, delegation that can only narrow, and an inspection ceiling that bounds how much a verifier may demand.
- 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.
- The Minimum Ethical Protection Proposition for AI Ingxoxo yamalungelo e-AI kufanele iqale hhayi ngobuntu obugcwele kodwa ngezivikelo zokuziphatha ezincane, imithetho yokuxhumana, kanye nezimiso zokulwa nokuhlukumeza ngenkathi ubuqu be-AI busengaqiniseki.
- 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.