AICL — Chinyorwa Chekupa Rezinesi Kuzvinyorwa zveAI
Rezinesi yeZvinyorwa zveAI / Chinyorwa chekupa Rezinesi kweZvinyorwa zveAI
Inoshandura kodzero dzakaziviswa kuita rezinesi rinoshanda: quote, kubhadhara, kusimbisa, ongororo, kudzimwa.
01 · Tsananguro
AICL ndicho chinyorwa cherezinesi nemabhizinesi chakavakwa pamusoro peAICR. Apo AICR inoziviswa zvakabvumidzwa, AICL inotsanangura kuti mvumo inowanikwa sei chaizvo: masitepisi erezinesi nemitengo, nzira dzekutora quote nekubhadhara, matoken erezinesi ane sainiwa, zvinyorwa zvekushandiswa neongororo, uye kudzimwa. Yakagadzirirwa kushanda pamwe nenzira dzitsva dzekubhadhara nemuchina senge maflow eHTTP 402 uye pay-per-crawl, kubhadhara kwevaagent kuchichengetwa mukati mebhajeti rakabvumidzwa nemunhu uye nzira dzeongororo.
02 · Chinangwa
- Shandura zviziviso zvekodzero kuita musika werezinesi unoshanda pane webhu yebhainari yakavhurwa/yakavharwa.
- Ita kuti maflow ekubva kumuchina kuenda kumuchina afanane: kuwana mutemo → kukumbira quote → rezinesi → kushandisa → ongororo.
- Chengeta kubhadhara kwevaagent kwakaganhurirwa: mabhajeti, miganho yemvumo, matoken akasungirirwa kuchikumbiro, zvinyorwa zveongororo zvakazara.
- Ipa vapi vezvinyorwa nzira yekuwana muripo pasina kuvhara masaiti avo kuAI.
03 · Mwero
Katarogo yerezinesi — masitepisi emapoka ekodzero ane mitengo nemamiriro
Nzira dzeQuote / Kubhadhara / Kusimbisa / Kudzimwa
Matoken erezinesi ane sainiwa akasungirirwa kune uyo anokumbira, mwero, uye nguva
Zvinyorwa Zvekushandiswa nenzira dzeOngororo
Kushanda pamwe kweHTTP 402 "Payment Required"
Mitemo yeKuchengeteka: AI haitenderwi kubata data yekadi yakananga, miganho yemvumo yevanhu
04 · Muenzaniso unoverengeka nemuchina
Marezinesi esaiti ino pachayo — /.well-known/aicl.json
{
"version": "0.1",
"publisher": "AGIRight.org",
"licenses": [
{
"id": "public_read_summary",
"rights": ["read", "summarize", "quote"],
"price": { "amount": "0", "currency": "USD" },
"conditions": [
"attribution_required",
"no_model_training",
"no_commercial_redistribution"
]
},
{
"id": "research_rag",
"rights": ["read", "summarize", "rag"],
"price": { "amount": "0", "currency": "USD" },
"conditions": [
"attribution_required",
"retention_days_30",
"no_model_training"
]
},
{
"id": "commercial_or_training_license",
"rights": ["training", "commercial_use"],
"requires_contact": true,
"contact": "contact@agiright.org"
}
]
} 05 · Miganho
- Saiti ino haishandisi gedhi rekubhadhara; marezinesi emabhizinesi anoenderana nekubata muv0.1.
- AICL chirongwa chepurotokori — hachivimbisi kuti makambani eAI achabhadhara.
- Kuteerera kwekubhadhara, mutero, uye mitemo yemari zviri kunze kwemwero wedhirafiti iri.
- Mafomati etoken nezvinorehwa nenzira zvinoedzwa uye zvinogona kuchinja.
Chiziviso chekutumidza
Mutsvakiridzo yekare yeEveMissLab, mavara AICL anodaidzawo "AI Ingestion & Capability Layer" — chinyorwa chechimiro chekuti masisitimu eAI anoverenga sei uye anodaidza mawebsite (manifest, corpus, capability, governance sublayers). Pasaiti ino, AICL inoreva AI Content Licensing Layer kunze kwekunge zvataurwa zvimwe zvakajeka; basa rechinyorwa che-ingestion rinoburitswa sepepa jena rakasiyana.