Sãmbyhy Oñemoñe'ẽkuaáva Máquina Rupive
Rembiapoukapy sãmbyhy-gua máquina ikatúva ojuhu ha ojapo: llms.txt, manifesto /ai/, kuatia política /.well-known/, JSON Schema-kuéra, token licencia firmado, ha formato registro auditoría-gua. Ko tenda voi ha'e techapyrã oikóva.
Porandu ojehesa'ỹijóva
01
robots.txt guive llms.txt peve, derécho manifesto peve
02
/.well-known/ política jejuhu convención-kuéra
03
JSON Schema especificación formato normativo ramo
04
Auditabilidad: registro, versión, orígenes
Kuatia jehesa'ỹijo ojoykekóva
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Peteĩ ñuãha especificación oñemoñe'ẽkuaáva máquina rupive, IA contenido derécho ha licenciamiento proceso oñedeclara hag̃ua — IA crawling ha contenido derécho guive, arandu web máquina omba'apuka peve.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS ha AILP ohechauka jehepyme'ẽ IA oñembo'e hag̃ua ipoteĩvéva, binário oñemoneĩ/oñembotove ári — mba'épa IA ikatu oñembo'e, mboy ipypuku, mba'e jeporu-rã, mba'e ñemyengovia ape.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Jepe'a jeheñoi'ỹva ojehecha incertidumbre legal ramo pipeline IA-pe ha oñembotove; jehepyme'ẽ protokolizádo, oñemoñe'ẽkuaáva máquina rupive año, ojapo contenido añetehápe ikatúva oñembo'e hese.
- 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 Peteĩ argumento economía política-gua: IA valoración billón-icha ojapo presión legitimidad-gua tiered contenido licenciamiento ha público benefit-sharing g̃uarã — data ojehesape'ỹmby, ndaha'éi hepyeterei año.
- 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 IA derécho ñomongeta ndovaerãi oñepyrũ personalidad completa-gui, ha katu protección ética mínima, interacción rembiapoukapy, ha principio anti-abuso-gui, IA subjetividad opytáva incierto aja.
- 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.