Mulki Mai Iya Karantawa Ta Na'ura
Ƙa'idojin mulki da na'urori za su iya ganowa da aiwatarwa: llms.txt, manifest ɗin /ai/, fayilolin manufa na /.well-known/, JSON Schema, token ɗin lasisi da aka sanya wa hannu, da tsarin rajistan bincike. Wannan shafin da kansa misali ne mai aiki.
Tambayoyin da ake Nazari
01
Daga robots.txt zuwa llms.txt zuwa manifest ɗin hakkoki
02
Ka'idojin gano manufofi na /.well-known/
03
JSON Schema a matsayin tsarin ƙayyadaddun bayanai na yau da kullum
04
Ikon Yin Audit: rajista, sigogi, tushen bayanai (provenance)
Takardun Bincike Masu Alaƙa
- AICR / AICL as an AI Content Licensing and Agentic Payment Connection Layer Matsayi na ƙayyadaddun bayanai mai iya karantawa ta na'ura don bayyana hakkokin abun ciki na AI da hanyoyin ba da lasisi — daga bincike na AI (crawling) da hakkokin abun ciki zuwa yanar gizon ilimi mai iya cinikayya ta na'ura.
- AI Rights Spectrum: From robots.txt to an AI Learning Permission Protocol AIRS da AILP na bayyana izinin koyo na AI mai zurfin bayani fiye da bi-ne/a'a kawai — abin da AI zai iya koya, a wace zurfi, don wace amfani, a ƙarƙashin wace diyya.
- Protocolized Openness: Why “Not Prohibited” Does Not Mean “Learnable” in the Age of AI Buɗaɗɗiya wanda ba a bayyana ba na karantawa a matsayin rashin tabbas na shari'a ga ayyukan AI kuma ana tsaftace shi; izini kaɗai mai tsari kuma mai iya karantawa ta na'ura ke sa abun ciki ya zama mai koyuwa da gaske.
- AICL: AI Ingestion & Capability Layer Tsarin gine-ginen shafin yanar gizo mai sassa huɗu — manifest, corpus, capability, governance — wanda ke ba AI, wakilai, da crawler damar karɓa, ambata, kiraye-kiraye, da tabbatar da ilimin shafin daidai.
- AI Content Payment and the Network Democratic Economy Muhawara kan tattalin arziki-siyasa: darajar AI da ta kai tiriliyoyi tana haifar da matsin lamba na hanya mai halasci don ba da lasisin abun ciki a matakai da rabon amfanin jama'a — bayanai suna zama an rarraba su a matakai, ba tsada ba ne.