{"id":184218,"date":"2026-11-11T11:41:26","date_gmt":"2026-11-11T09:41:26","guid":{"rendered":"https:\/\/prohoster.info\/blog\/news\/osnovateli-cyanogen-i-gameos-razvivayut-os-kora-s-integracziej-ai-na-urovne-sistemy"},"modified":"2026-11-11T11:41:30","modified_gmt":"2026-11-11T09:41:30","slug":"cyanogen-and-gameos-founders-develop-kora-os-with-system-level-ai-integration","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sl\/blog\/news\/cyanogen-and-gameos-founders-develop-kora-os-with-system-level-ai-integration","title":{"rendered":"Ustanovitelji Cyanogen in GameOS razvijajo sistem KORA z integracijo AI na ravni sistema","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"

Najavljena je desktop-orijentisana operativna sistema KORA, koja se zasniva na Linux jezgru i koja se isti\u010de integracijom AI modela, AI servisa i AI agenata u sistemsko okru\u017eenje. Umesto da se radna povr\u0161ina gradi oko direktorijuma i aplikacija, u novom OS-u rad je organizovan na temelju zna\u010denja, konteksta i baze znanja. Pored klasi\u010dnog fajl sistema, nudi se \u201eneuronski fajl sistem\u201c, koji indeksira datoteke prema njihovom zna\u010denju, omogu\u0107avaju\u0107i korisnicima i AI agentima da pronalaze informacije po sadr\u017eaju, a ne po imenima datoteka i direktorijuma. Projekat se razvija pod vo\u0111stvom Kirta Makmastera, suosniva\u010da mobilne platforme Cyanogen (sada LineageOS), D\u017eona Lagerlina, koji je vodio Android biznis u Google-u i bio potpredsednik u Facebook-u, i Franka De \u0110irolamija, stvaraoca serije igara Alone in the Dark i distribucije GameOS. Me\u0111u investitorima i partnerima projekta su kompanije Samsung i Qualcomm.<\/p>\n

Modeli umetne inteligence v KORI so nedeljiv del sistema in se izvajajo z uporabo razvijajo\u010dega se hibridnega motorja Cortex, optimiziranega za lokalno izvajanje modelov umetne inteligence z uporabo vseh razpolo\u017eljivih ra\u010dunalni\u0161kih zmogljivosti, vklju\u010dno s CPU, GPU, NPU in z izvajanjem izra\u010dunov na drugih ra\u010dunalnikih v omre\u017eju. Privzeto se modeli umetne inteligence izvajajo lokalno, vendar je po potrebi predvidena mo\u017enost vklju\u010ditve zunanjih AI storitev. Lokalni model umetne inteligence podpira posebno bazo znanja, ki oblikuje kontekst specifi\u010den za uporabnika, analizira datoteke, e-po\u0161tno korespondenco, imenik, koledar in druge uporabni\u0161ke podatke.<\/p>\n

Vsak virtuelna radna povr\u0161ina<\/a> (workspace) se izvaja v lo\u010denem
\nsandbox okolju, kjer lahko aplikacije in AI agenti dostopajo do skupnega konteksta in baze znanja, vendar so izolirani od preostalega sistema.
\nZa dostop do zunanjih virov je zahtevano izrecno dovoljenje uporabnika. Lo\u010devanje dostopa se izvaja z uporabo AppArmor. Za razvoj aplikacij, ki sodelujejo z bazo znanja, kontekstom, semanti\u010dnim iskanjem in specifi\u010dnimi projekti, je na voljo SDK.<\/p>\n

V sistem je prav tako vgrajena mo\u017enost za zagon ra\u010dunalni\u0161kih iger, prenesenih iz GameOS in dostopnih v obliki okolja GameFrame. Z enim klikom se uporabnik lahko preklopi iz namizja v na\u010din zagona iger, ki spominja na igralno konzolo in omogo\u010da zagon iger iz priljubljenih katalogov. Poleg na\u010dina iger so na voljo specializirana okolja za delo in ustvarjanje vsebin. Med funkcijami izstopajo tudi samodejno prepoznavanje govora in podpora za zagon aplikacij Windows, zgrajenih za arhitekturo x86_64, na ARM-sistemih. <\/p>\n

Prvi izid KORA na\u010drtujejo izdati leta 2027. Skupaj s podjetjem Qualcomm Technologies poteka razvoj delovnih postaj na \u010dipih Snapdragon, optimiziranih za delovanje KORA. Na napravah s SoC Snapdragon X2 Elite, z uporabo procesorskih jeder Oryon, GPU Adreno in nevropospe\u0161evalnika Hexagon za hkratno izvajanje AI-modelov, je napovedana mo\u017enost lokalnega izvajanja velike jezikovne vrste z 26 milijardami parametrov. Poleg tega skupaj s podjetjem HUMAIN razvijajo komercialno razli\u010dico HUMAIN OS, namenjeno podjetjem.
\n
Izvor: opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"

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