Maşyn Tarapyndan Okalýan Dolandyryş
Maşynlaryň açyp we ýerine ýetirip bilýän dolandyryş kadalary: llms.txt, /ai/ manifestleri, /.well-known/ syýasat faýllary, JSON Shemalar, gol çekilen ygtyýarnama tokenleri we audit ýazgy formatlary. Bu sahypa özi işleýän mysaldyr.
Öwrenilýän soraglar
01
robots.txt-den llms.txt-e, hukuk manifestlerine çenli
02
/.well-known/ syýasat açyş konwensiýalary
03
Normatiw spesifikasiýa formaty hökmünde JSON Shemasy
04
Barlanyp bilinjeklik: ýazgylar, wersiýalar, gelip çykyş
Degişli ak kagyzlar
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Emeli intellekt mazmun hukuklaryny we ygtyýarnamalandyryş iş akymlaryny deklarirlemek üçin maşyn tarapyndan okalýan spesifikasiýa gatlagy — emeli intellekt gözlegi we mazmun hukuklaryndan başlap, maşyn amal geçirip bilýän bilim webine çenli.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS we AILP ikilik rugsat/gadagançylykdan aňyrda, emeli intellektiň öwrenmek rugsatlaryny inçelik bilen beýan edýär — emeli intellektiň näme öwrenip biljekdigini, haýsy çuňlukda, haýsy maksatlar üçin, haýsy öwez esasynda.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Kesgitlenmedik açyklyk emeli intellekt akymlary üçin hukuk näbelliligi hökmünde okalýar we arassalanyp aýrylýar; diňe protokollaşdyrylan, maşyn tarapyndan okalýan rugsat mazmuny hakykatdan hem öwrenip bolýan edýär.
- 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 Syýasy-ykdysady delil: trillionlyk emeli intellekt bahalary derejeli mazmun ygtyýarnamalandyrylyşy we jemgyýetçilik peýdasyny paýlaşmak üçin kanunylyk basyşyny döredýär — maglumat gymmat bolman, derejelere bölünýär.
- 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 Emeli intellektiň subýektiwligi näbelli bolup galýan wagtynda, emeli intellekt hukuklary barada pikir alyşmak doly hukuk şahsy bilen däl-de, minimal ahlak goragyndan, özara gatnaşyk kadalaryndan we hyýanatçylyga garşy ýörelgelerden başlanmaly.
- 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.