Naatsorsuutinit Atuarneqarsinnaasumik Naalakkersuineq
Naalakkersuinermut malittarisassiat naatsorsuutinit nassaartinneqarsinnaasut atortinneqarsinnaasullu: llms.txt, /ai/ manifestit, /.well-known/ politikkinut allattorsimaffiit, JSON Schemait, atsiorneqarsimasut akuersissutit tokeninik, aammalu misissuinerup allattorsimaffiisa ilusai. Nittartagaq una nammineq sunniuteqartumik assersuutaavoq.
Apeqqutit misissorneqartartut
01
Robots.txt-imit llms.txt-mut pisinnaatitaaffinnullu manifestinut
02
/.well-known/ politikkit nassaartinneqarnissaannut periarfissat
03
JSON Schema malittarisassiatut specifikationip ilusaanik
04
Misissorneqarsinnaassuseq: allattorsimaffiit, versionit, aammalu qanoq pigisaanerat
Allaaserisat qaqortut attuumassuteqartut
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer AI-p imainut pisinnaatitaaffiinik akuersissuteqarnermilu ingerlatsinerit nalunaarutigineqarnissaannut naatsorsuutinit atuarneqarsinnaasumik specifikationi immikkoortoq — AI-mit misissorneqarnermit imailu pisinnaatitaaffiinit, naatsorsuutinit niuernikkut atorneqarsinnaasumik ilisimasat nittartakkaanut.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS AILP-lu AI atuartitsissutigineqarsinnaanissaanut akuersissutit eqqarsaatigalugit annertunerusumik saqqummiuppaat, aap/naamik-imit anginerusumik — AI-p sunik ilinniarsinnaanera, qanoq itigartinnerusumik, sunut atorneqarsinnaanera, aammalu qanoq akiliisassaqarnermik.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Ammaneq killeqanngitsoq AI-p aqqutissaani inatsisitigut naammagittaalliornertut paasineqartarpoq salliuiffigineqarlunilu; protokollikkut kisiat, naatsorsuutinit atuarneqarsinnaasumik akuersissut, imai ilumoortumik atuartitsissutigalugu atorneqarsinnaasunngortippai.
- 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 Politikkikkut aningaasaqarnikkullu isumaqarneq: AI-p akiliuteqarfiusinnaanera billioninik amerlanertaartumik nalilersorneqarnera immikkoortuutilimmik akuersissuteqarnissamut inuiaqatigiillu iluaqutigisinnaanerannut naammattuunermik ilaqutigalugu kajumissaarutissiuutaavoq — paasissutissat akeqartuunngitsut, immikkoortuutilinngortarput.
- 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 AI pisinnaatitaaffii pillugit oqallinnerit tamakkiisumik inuttut isigineqarnerinngitsumit aallartissariaqarput, kisianni annikinnerpaamik etimikkut illersuinerit, attaveqaataasup najoqqutassiai, aammalu atornikuunngitsumik iliuuseqarnissamut akuerinngisaannaat aallaqqaataallugit, AI-p misigisinnaanera naammagittaalliornartuutilluni.
- 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.