Pfuura Enda Kune Zvinyorwa
AGIRight.org

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.

Draft v0.1 Schema ↓

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

00

Katarogo yerezinesi — masitepisi emapoka ekodzero ane mitengo nemamiriro

01

Nzira dzeQuote / Kubhadhara / Kusimbisa / Kudzimwa

02

Matoken erezinesi ane sainiwa akasungirirwa kune uyo anokumbira, mwero, uye nguva

03

Zvinyorwa Zvekushandiswa nenzira dzeOngororo

04

Kushanda pamwe kweHTTP 402 "Payment Required"

05

Mitemo yeKuchengeteka: AI haitenderwi kubata data yekadi yakananga, miganho yemvumo yevanhu

04 · Muenzaniso unoverengeka nemuchina

Marezinesi esaiti ino pachayo — /.well-known/aicl.json

/.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.