Rialachas Inléite ag Meaisín
Rialacha rialachais is féidir le meaisíní a aimsiú agus a fheidhmiú: llms.txt, forógraí /ai/, comhaid pholasaí /.well-known/, Scéimrí JSON, comharthaí ceadúnais sínithe, agus formáidí loga iniúchóireachta. Is sampla oibre é an suíomh seo féin.
Ceisteanna faoi staidéar
01
Ó robots.txt go llms.txt go forógraí ceart
02
Coinbhinsiúin aimsithe polasaithe /.well-known/
03
Scéimre JSON mar fhormáid normadach sonraíochta
04
Iniúchóireacht: logaí, leaganacha, tionscnamh
Páipéir bhána ghaolmhara
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Sraith sonraíochta inléite ag meaisín chun cearta ábhair AI agus sreafaí oibre ceadúnaithe a dhearbhú — ó crawláil AI agus cearta ábhair go gréasán eolais ina bhféadfar idirbhearta meaisín a dhéanamh.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol Cuireann AIRS agus AILP ceadanna foghlama AI in iúl ar bhealach níos nuánsáilte ná ceadaigh/diúltaigh dénártha — a bhfuil cead ag AI a fhoghlaim, cén doimhneacht, cé na húsáidí, agus faoi cén cúiteamh.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Léann oscailteacht neamhshainithe mar éiginnteacht dhlíthiúil do phíblínte AI agus glantar amach í; ní dhéanann ach cead prótacailithe, inléite ag meaisín ábhar go fíor in-fhoghlamtha.
- 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 Argóint pholaitiúil-eacnamaíoch: cruthaíonn luachálacha AI ar scála na dtrilliún brú dlisteanachta i dtreo ceadúnú ábhair shraithithe agus comhroinnt tairbhe poiblí — éiríonn sonraí sraithithe, ní costasach.
- 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 Níor cheart go dtosódh plé faoi chearta AI le pearsantacht iomlán ach le cosaintí eiticiúla íosta, noirm idirghníomhaíochta, agus prionsabail frith-mhí-úsáide, fad is atá suibiacht AI fós éiginnte.
- 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.