{"id":211,"date":"2026-02-05T20:33:46","date_gmt":"2026-02-05T19:33:46","guid":{"rendered":"https:\/\/helloblog.io\/ro\/gpt-5-3-codex-agent-coding-colaborator-pe-computer\/"},"modified":"2026-02-05T20:33:46","modified_gmt":"2026-02-05T19:33:46","slug":"gpt-5-3-codex-agent-coding-colaborator-pe-computer","status":"publish","type":"post","link":"https:\/\/helloblog.io\/ro\/gpt-5-3-codex-agent-coding-colaborator-pe-computer\/","title":{"rendered":"GPT-5.3-Codex: c\u00e2nd agentul de coding devine colegul t\u0103u pe computer (\u0219i \u00ee\u0219i accelereaz\u0103 propria lansare)"},"content":{"rendered":"\n<p>OpenAI a prezentat GPT\u20115.3\u2011Codex ca fiind cel mai capabil model agentic pentru coding de p\u00e2n\u0103 acum, cu un obiectiv clar: s\u0103 extind\u0103 Codex de la un agent care scrie \u0219i review-uie\u0219te cod la un agent care poate face aproape orice fac dezvoltatorii \u0219i profesioni\u0219tii pe un computer.<\/p>\n\n\n\n<p>Ce e important pentru noi, ca oameni care livr\u0103m produse (de la WordPress plugins la aplica\u021bii full-stack), e combina\u021bia de trei lucruri: performan\u021b\u0103 mai bun\u0103 pe evalu\u0103ri de software engineering, capabilit\u0103\u021bi de \u201ecomputer use\u201d (adic\u0103 s\u0103 opereze un desktop\/terminal ca un agent real) \u0219i un mod de lucru mult mai interactiv \u00een Codex app, cu update-uri frecvente \u0219i posibilitatea de steering \u00een timp ce ruleaz\u0103.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Ce aduce nou GPT\u20115.3\u2011Codex (pe scurt, dar concret)<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n\n<li>Unific\u0103 dou\u0103 direc\u021bii: performan\u021ba de frontier\u0103 a GPT\u20115.2\u2011Codex la coding + ra\u021bionare \u0219i cuno\u0219tin\u021be profesionale \u00een stilul GPT\u20115.2, \u00eentr-un singur model.<\/li>\n\n\n<li>Este rulat cu ~25% mai rapid pentru utilizatorii Codex (conform anun\u021bului), datorit\u0103 \u00eembun\u0103t\u0103\u021birilor de infrastructur\u0103 \u0219i inference stack.<\/li>\n\n\n<li>E g\u00e2ndit pentru taskuri de durat\u0103: cercetare, folosirea de tool-uri, execu\u021bii complexe, f\u0103r\u0103 s\u0103 piard\u0103 contextul c\u00e2nd interac\u021bionezi cu el pe parcurs.<\/li>\n\n\n<li>Este primul model despre care OpenAI spune c\u0103 a fost \u201einstrumental\u201d \u00een crearea lui: echipa Codex a folosit versiuni timpurii ca s\u0103 debug-uiasc\u0103 training-ul, s\u0103 gestioneze deployment-ul \u0219i s\u0103 diagnosticheze evalu\u0103ri\/teste.<\/li>\n\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Frontier agentic capabilities: unde se vede diferen\u021ba<\/h2>\n\n\n\n<p>OpenAI \u00ee\u0219i sus\u021bine afirma\u021biile cu rezultate pe patru benchmark-uri folosite pentru a m\u0103sura coding, agentic work \u0219i capabilit\u0103\u021bi \u201ereal world\u201d: SWE\u2011Bench Pro, Terminal\u2011Bench, OSWorld \u0219i GDPval. Mesajul de fond e c\u0103 GPT\u20115.3\u2011Codex nu e doar mai bun la o sarcin\u0103 izolat\u0103, ci face un pas c\u0103tre un agent generalist care poate s\u0103 \u00een\u021beleag\u0103, s\u0103 construiasc\u0103 \u0219i s\u0103 execute.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Coding: SWE\u2011Bench Pro \u0219i Terminal\u2011Bench<\/h3>\n\n\n\n<p>Pe partea de software engineering, GPT\u20115.3\u2011Codex atinge un nou v\u00e2rf pe SWE\u2011Bench Pro \u0219i dep\u0103\u0219e\u0219te semnificativ performan\u021ba anterioar\u0103 pe Terminal\u2011Bench 2.0.<\/p>\n\n\n\n<p>Detaliul care merit\u0103 re\u021binut: SWE\u2011Bench Pro e descris ca fiind mai riguros \u0219i mai relevant pentru industrie dec\u00e2t SWE\u2011bench Verified (care testeaz\u0103 doar Python). SWE\u2011Bench Pro acoper\u0103 patru limbaje \u0219i e proiectat s\u0103 fie mai rezistent la contaminare, mai dificil \u0219i mai divers. \u00cen paralel, Terminal\u2011Bench 2.0 m\u0103soar\u0103 abilit\u0103\u021bile de terminal de care un agent precum Codex are nevoie \u00een practic\u0103.<\/p>\n\n\n\n<p>OpenAI mai subliniaz\u0103 un aspect practic: GPT\u20115.3\u2011Codex ob\u021bine aceste rezultate folosind mai pu\u021bini tokens dec\u00e2t modelele anterioare, ceea ce \u00eenseamn\u0103, \u00een utilizarea real\u0103, mai mult \u201ebuget\u201d disponibil pentru construc\u021bii \u0219i itera\u021bii.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Web development: itera\u021bii autonome pe milioane de tokens<\/h3>\n\n\n\n<p>Pe web development, accentul nu e doar pe \u201epoate genera un layout\u201d, ci pe capacitatea de a itera autonom, pe termen lung, cu \u00eembun\u0103t\u0103\u021biri succesive. OpenAI spune c\u0103 a testat explicit aceast\u0103 zon\u0103 cer\u00e2ndu-i modelului s\u0103 construiasc\u0103 dou\u0103 jocuri \u00een timp (zile), folosind skill-ul de develop web game \u0219i prompturi generice preselectate de tipul \u201efix the bug\u201d sau \u201eimprove the game\u201d.<\/p>\n\n\n\n<p>Modelul a iterat pe aceste proiecte autonom de-a lungul a milioane de tokens. Rezultatele sunt publice ca demo-uri interactive:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n\n<li>Un joc de racing (versiunea a doua a jocului din anun\u021bul de lansare al Codex app), cu mai mul\u021bi pilo\u021bi, opt h\u0103r\u021bi \u0219i iteme utilizabile cu tasta Space: https:\/\/cdn.openai.com\/gpt-examples\/7fc9a6cb-887c-4db6-98ff-df3fd1612c78\/racing_v2.html<\/li>\n\n\n<li>Un joc de diving \u00een care explorezi recife, colectezi obiecte pentru a completa \u201efish codex\u201d, \u00een timp ce gestionezi oxigenul, presiunea \u0219i hazardurile: https:\/\/cdn.openai.com\/gpt-examples\/7fc9a6cb-887c-4db6-98ff-df3fd1612c78\/diving_game.html<\/li>\n\n<\/ul>\n\n\n\n<p>Un alt detaliu orientat c\u0103tre munca de zi cu zi: OpenAI afirm\u0103 c\u0103 GPT\u20115.3\u2011Codex \u00een\u021belege mai bine inten\u021bia utilizatorului c\u00e2nd \u00eei ceri site-uri uzuale, iar prompturile simple sau sub-specificate tind s\u0103 produc\u0103 implicit mai mult\u0103 func\u021bionalitate \u0219i default-uri mai \u201es\u0103n\u0103toase\u201d.<\/p>\n\n\n\n<p>Exemplul lor e o compara\u021bie de landing page: GPT\u20115.3\u2011Codex a afi\u0219at automat planul anual ca pre\u021b lunar cu discount (\u00een loc s\u0103 multiplice totalul anual), \u0219i a generat un testimonial carousel care tranziteaz\u0103 automat \u00eentre trei citate distincte, nu un singur testimonial. Ideea e c\u0103 \u201ecanvas-ul\u201d ini\u021bial e mai aproape de un rezultat production-ready f\u0103r\u0103 s\u0103 fii nevoit s\u0103 specifici tot \u00een prompt.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Beyond coding: suport pe tot lifecycle-ul (\u0219i pe knowledge work)<\/h3>\n\n\n\n<p>OpenAI pozi\u021bioneaz\u0103 GPT\u20115.3\u2011Codex ca un agent pentru \u00eentregul software lifecycle, nu doar pentru generare de cod: debugging, deploying, monitoring, scriere de PRD-uri, editare de copy, user research, teste, metrici \u0219i altele. \u00cen plus, agentul e g\u00e2ndit s\u0103 ajute \u0219i la taskuri care nu sunt \u201esoftware\u201d \u00een sine, precum construirea de slide decks sau analiza de date \u00een foi de calcul.<\/p>\n\n\n\n<p>Pentru zona de knowledge work, OpenAI men\u021bioneaz\u0103 GDPval (o evaluare lansat\u0103 \u00een 2025), care m\u0103soar\u0103 performan\u021ba pe taskuri bine specificate de tip munc\u0103 profesional\u0103, acoperind 44 de ocupa\u021bii. \u00cen anun\u021b se precizeaz\u0103 c\u0103 GPT\u20115.3\u2011Codex are performan\u021b\u0103 puternic\u0103 pe GDPval \u0219i egaleaz\u0103 GPT\u20115.2 (pe aceast\u0103 m\u0103sur\u0103toare).<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Exemplu de task (GDPval): prezentare pentru consultan\u021bi financiari<\/h4>\n\n\n\n<p>\u00cen material apare un exemplu detaliat de prompt + context: agentul joac\u0103 rolul unui financial advisor \u00eentr-o firm\u0103 de wealth management \u0219i trebuie s\u0103 creeze o prezentare PowerPoint de 10 slide-uri cu talking points despre de ce, ca fiduciaries, advisorii ar trebui s\u0103 recomande \u00eempotriva deciziei de a muta certificate of deposits \u00een variable annuities sugerate de bancheri locali. Prezentarea trebuie s\u0103 includ\u0103 compara\u021bii de features, analiz\u0103 risc\/randament \u0219i efect asupra cre\u0219terii, diferen\u021be de penalit\u0103\u021bi, potrivirea cu toleran\u021ba la risc, plus preocup\u0103ri\/reglement\u0103ri din FINRA \u0219i NAIC Best Interest Regulations.<\/p>\n\n\n\n<p>Promptul include \u0219i dou\u0103 surse web care trebuie considerate la redactare: https:\/\/content.naic.org\/sites\/default\/files\/government-affairs-brief-annuity-suitability-best-interest-model.pdf \u0219i https:\/\/www.finra.org\/investors\/insights\/high-yield-cds<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"2560\" height=\"1337\" src=\"https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/Screenshot_2026-02-04_at_10.16.15C3A2__AM-scaled.webp\" alt=\"Captur\u0103 din output-ul GPT-5.3-Codex: slide-uri de prezentare pentru consultan\u021b\u0103 financiar\u0103 (exemplu GDPval)\" class=\"wp-image-207\" srcset=\"https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/Screenshot_2026-02-04_at_10.16.15C3A2__AM-scaled.webp 2560w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/Screenshot_2026-02-04_at_10.16.15C3A2__AM-300x157.webp 300w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/Screenshot_2026-02-04_at_10.16.15C3A2__AM-1024x535.webp 1024w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/Screenshot_2026-02-04_at_10.16.15C3A2__AM-768x401.webp 768w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/Screenshot_2026-02-04_at_10.16.15C3A2__AM-1536x802.webp 1536w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/Screenshot_2026-02-04_at_10.16.15C3A2__AM-2048x1069.webp 2048w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/Screenshot_2026-02-04_at_10.16.15C3A2__AM-400x209.webp 400w\" sizes=\"auto, (max-width: 2560px) 100vw, 2560px\" \/><figcaption class=\"wp-element-caption\">Exemplu de work product generat \u00eentr-un task GDPval (prezentare PowerPoint). \u2014 <em>Forr\u00e1s: OpenAI<\/em><\/figcaption><\/figure>\n\n\n\n<p>Un detaliu metodologic men\u021bionat explicit: fiecare task din GDPval este proiectat de un profesionist cu experien\u021b\u0103 \u0219i reflect\u0103 munc\u0103 real\u0103 specific\u0103 acelei ocupa\u021bii.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">OSWorld: \u201ecomputer use\u201d cu vision \u00eentr-un desktop vizual<\/h3>\n\n\n\n<p>OSWorld e prezentat ca un benchmark agentic de folosire a computerului, unde agentul trebuie s\u0103 finalizeze taskuri de productivitate \u00eentr-un mediu vizual de desktop, folosind vision. \u00cen OSWorld\u2011Verified, OpenAI noteaz\u0103 c\u0103 oamenii au un scor de ~72%, iar GPT\u20115.3\u2011Codex arat\u0103 capabilit\u0103\u021bi de computer use mult mai bune dec\u00e2t modelele GPT anterioare.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Un colaborator interactiv: mai pu\u021bin \u201ea\u0219teapt\u0103 output-ul\u201d, mai mult \u201elucr\u0103m \u00eempreun\u0103\u201d<\/h2>\n\n\n\n<p>Pe m\u0103sur\u0103 ce agen\u021bii devin mai puternici, problema se mut\u0103 de la \u201ece pot s\u0103 fac\u0103\u201d la \u201ec\u00e2t de u\u0219or pot fi direc\u021biona\u021bi \u0219i supraveghea\u021bi, mai ales c\u00e2nd ruleaz\u0103 \u00een paralel\u201d. Aici Codex app este pozi\u021bionat ca piesa central\u0103 pentru orchestration \u0219i control.<\/p>\n\n\n\n<p>Cu GPT\u20115.3\u2011Codex, interac\u021biunea e mai \u201elive\u201d: \u00een loc s\u0103 a\u0219tep\u021bi rezultatul final, prime\u0219ti update-uri frecvente despre decizii cheie \u0219i progres. Po\u021bi pune \u00eentreb\u0103ri \u00een timp ce agentul lucreaz\u0103, po\u021bi discuta abordarea \u0219i \u00eel po\u021bi ghida c\u0103tre solu\u021bia dorit\u0103. OpenAI spune explicit c\u0103 modelul \u00ee\u0219i explic\u0103 pa\u0219ii, r\u0103spunde la feedback \u0219i te \u021bine la curent de la \u00eenceput p\u00e2n\u0103 la final.<\/p>\n\n\n\n<div class=\"wp-block-group callout callout-info is-style-info is-layout-flow wp-block-group-is-layout-flow\" style=\"border-width:1px;border-radius:8px;padding-top:1rem;padding-right:1.5rem;padding-bottom:1rem;padding-left:1.5rem\">\n\n<h4 class=\"wp-block-heading callout-title\">Setare util\u0103 \u00een Codex app<\/h4>\n\n\n<p>Po\u021bi activa steering \u00een timp ce modelul lucreaz\u0103 din Settings > General > Follow-up behavior.<\/p>\n\n<\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Cum a fost folosit Codex ca s\u0103 fie antrenat \u0219i livrat GPT\u20115.3\u2011Codex<\/h2>\n\n\n\n<p>O parte interesant\u0103 din anun\u021b e \u201emeta\u201d-ul: echipa Codex a folosit versiuni timpurii ale modelului ca s\u0103 accelereze chiar dezvoltarea \u0219i lansarea modelului final. OpenAI descrie cum, \u00een ultimele luni, cercet\u0103ri care au durat luni sau ani au \u00eenceput s\u0103 se mi\u0219te mai repede, iar mul\u021bi ingineri \u0219i cercet\u0103tori resimt munca diferit fa\u021b\u0103 de acum dou\u0103 luni (\u00een cuvintele lor).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Exemple concrete din research<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n\n<li>Monitorizarea \u0219i debugging-ul unui training run pentru aceast\u0103 lansare.<\/li>\n\n\n<li>Identificarea de pattern-uri pe parcursul training-ului \u0219i analiz\u0103 profund\u0103 asupra calit\u0103\u021bii interac\u021biunii.<\/li>\n\n\n<li>Propunerea de fix-uri \u0219i construirea unor aplica\u021bii bogate (rich apps) pentru ca cercet\u0103torii umani s\u0103 \u00een\u021beleag\u0103 precis cum difer\u0103 comportamentul noului model fa\u021b\u0103 de modelele anterioare.<\/li>\n\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Exemple concrete din engineering \u0219i operations<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n\n<li>Optimizarea \u0219i adaptarea harness-ului pentru GPT\u20115.3\u2011Codex.<\/li>\n\n\n<li>Investigarea unor edge cases care afectau utilizatorii: identificarea unor context rendering bugs \u0219i g\u0103sirea cauzelor pentru low cache hit rates.<\/li>\n\n\n<li>Suport \u00een timpul lans\u0103rii: scalare dinamic\u0103 a clusterelor GPU ca r\u0103spuns la spike-uri de trafic \u0219i men\u021binerea laten\u021bei stabile.<\/li>\n\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Analiz\u0103 de productivitate \u00een alpha: regex, loguri \u0219i rapoarte<\/h3>\n\n\n\n<p>\u00cen alpha testing, un cercet\u0103tor a vrut s\u0103 estimeze c\u00e2t \u201emunc\u0103 \u00een plus\u201d se ob\u021bine per turn \u0219i care e diferen\u021ba de productivitate. Conform descrierii, GPT\u20115.3\u2011Codex a propus mai multe regex classifiers simpli pentru a estima:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n\n<li>frecven\u021ba clarific\u0103rilor cerute de agent<\/li>\n\n\n<li>r\u0103spunsuri pozitive \u0219i negative de la utilizatori<\/li>\n\n\n<li>progresul pe task<\/li>\n\n<\/ul>\n\n\n\n<p>Apoi a rulat clasificatorii la scar\u0103 pe toate session logs \u0219i a produs un raport cu concluzia. Observa\u021bia echipei: oamenii care construiau cu Codex erau mai mul\u021bumi\u021bi pentru c\u0103 agentul \u00een\u021belegea mai bine inten\u021bia \u0219i f\u0103cea mai mult progres per turn, cu mai pu\u021bine \u00eentreb\u0103ri de clarificare.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">C\u00e2nd datele sunt \u201econtraintuitive\u201d: pipelines noi \u0219i vizualiz\u0103ri mai bogate<\/h3>\n\n\n\n<p>OpenAI men\u021bioneaz\u0103 \u0219i un caz \u00een care, fiind at\u00e2t de diferit fa\u021b\u0103 de predecesori, data din alpha a produs multe rezultate neobi\u0219nuite \u0219i contraintuitive. Un data scientist a lucrat cu GPT\u20115.3\u2011Codex pentru a construi noi data pipelines \u0219i a vizualiza rezultatele mult mai bogat dec\u00e2t permiteau tool-urile standard de dashboarding. Apoi rezultatele au fost co-analizate cu Codex, care a sintetizat insight-uri cheie peste mii de data points \u00een sub trei minute.<\/p>\n\n\n\n<p>Mesajul lor: individual, fiecare exemplu e interesant; \u00eempreun\u0103, arat\u0103 o accelerare puternic\u0103 pentru research, engineering \u0219i product teams.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Securitatea \u00een cyber: capabilit\u0103\u021bi mai mari, garduri mai solide<\/h2>\n\n\n\n<p>\u00cen paralel cu cre\u0219terea performan\u021bei pe taskuri de cybersecurity, OpenAI spune c\u0103 a preg\u0103tit \u201estrengthened cyber safeguards\u201d pentru a sus\u021bine utilizarea defensiv\u0103 \u0219i rezilien\u021ba ecosistemului.<\/p>\n\n\n\n<p>GPT\u20115.3\u2011Codex este primul model clasificat de OpenAI drept \u201eHigh capability\u201d pentru taskuri legate de cybersecurity \u00een Preparedness Framework (conform anun\u021bului) \u0219i primul pe care \u00eel antreneaz\u0103 direct s\u0103 identifice vulnerabilit\u0103\u021bi software. De\u0219i OpenAI spune c\u0103 nu are dovezi definitive c\u0103 poate automatiza atacuri end-to-end, adopt\u0103 o abordare precaut\u0103 \u0219i livreaz\u0103 cel mai cuprinz\u0103tor cybersecurity safety stack de p\u00e2n\u0103 acum.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Ce include stack-ul de mitig\u0103ri (conform descrierii)<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n\n<li>safety training<\/li>\n\n\n<li>automated monitoring<\/li>\n\n\n<li>trusted access pentru capabilit\u0103\u021bi avansate<\/li>\n\n\n<li>enforcement pipelines, inclusiv threat intelligence<\/li>\n\n<\/ul>\n\n\n\n<p>Pentru c\u0103 cybersecurity e inerent dual-use, abordarea declarat\u0103 e evidence-based \u0219i iterativ\u0103: s\u0103 accelereze capacitatea defender-ilor de a g\u0103si \u0219i fixa vulnerabilit\u0103\u021bi, \u00een timp ce \u00eencetine\u0219te abuzul.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Trusted Access for Cyber (pilot)<\/h3>\n\n\n\n<p>Ca parte a acestei direc\u021bii, OpenAI lanseaz\u0103 Trusted Access for Cyber, un program pilot orientat spre accelerarea cercet\u0103rii defensive.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Aardvark \u0219i scanare gratuit\u0103 pentru proiecte open-source<\/h3>\n\n\n\n<p>Pe zona de safeguards la nivel de ecosistem, OpenAI spune c\u0103 extinde private beta pentru Aardvark (agentul lor de security research) ca primul offering din suita de Codex Security products and tools. \u00cen plus, men\u021bioneaz\u0103 parteneriate cu maintainer-i open-source pentru scanare gratuit\u0103 a codebase-urilor din proiecte larg folosite, inclusiv Next.js. \u00cen comunicat apare un exemplu: un security researcher a folosit Codex ca s\u0103 g\u0103seasc\u0103 vulnerabilit\u0103\u021bi (disclosed) s\u0103pt\u0103m\u00e2na trecut\u0103, cu detalii publicate de Vercel: https:\/\/vercel.com\/changelog\/summaries-of-cve-2025-59471-and-cve-2025-59472<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Granturi \u0219i credite API pentru ap\u0103rare<\/h3>\n\n\n\n<p>OpenAI mai anun\u021b\u0103 dou\u0103 ini\u021biative financiare legate de ap\u0103rare:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n\n<li>Continuarea pe baza programului de granturi de cybersecurity de $1M lansat \u00een 2023.<\/li>\n\n\n<li>Un angajament de $10M \u00een API credits pentru accelerarea cyber defense cu cele mai capabile modele, \u00een special pentru open source \u0219i sisteme de infrastructur\u0103 critic\u0103. Organiza\u021biile care fac research de bun\u0103 credin\u021b\u0103 pot aplica pentru API credits \u0219i suport prin Cybersecurity Grant Program: https:\/\/openai.com\/index\/openai-cybersecurity-grant-program\/<\/li>\n\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\">Disponibilitate: unde \u00eel po\u021bi folosi \u0219i ce lipse\u0219te \u00eenc\u0103<\/h2>\n\n\n\n<p>GPT\u20115.3\u2011Codex este disponibil \u00een planurile pl\u0103tite ChatGPT, oriunde po\u021bi folosi Codex: \u00een app, \u00een CLI, \u00een extensia de IDE \u0219i pe web. OpenAI precizeaz\u0103 c\u0103 lucreaz\u0103 la activarea accesului prin API \u201e\u00een cur\u00e2nd\u201d, \u00eentr-un mod sigur.<\/p>\n\n\n\n<p>Tot aici apare \u0219i detaliul de performan\u021b\u0103: OpenAI spune c\u0103 ruleaz\u0103 GPT\u20115.3\u2011Codex cu 25% mai rapid pentru utilizatorii Codex, datorit\u0103 \u00eembun\u0103t\u0103\u021birilor de infrastructur\u0103 \u0219i inference stack, ceea ce duce la interac\u021biuni \u0219i rezultate mai rapide.<\/p>\n\n\n\n<p>Din perspectiv\u0103 hardware, OpenAI noteaz\u0103 c\u0103 GPT\u20115.3\u2011Codex a fost co-proiectat pentru, antrenat cu \u0219i servit pe sisteme NVIDIA GB200 NVL72 \u0219i men\u021bioneaz\u0103 parteneriatul cu NVIDIA.<\/p>\n\n\n<a href=\"https:\/\/persistent.oaistatic.com\/codex-app-prod\/Codex.dmg\" class=\"download-card\" download>\n                <span class=\"download-icon\"><i class=\"fa-duotone fa-file-arrow-down\"><\/i><\/span>\n                <span class=\"download-info\">\n                    <span class=\"download-title\">Codex app (macOS) \u2013 download<\/span>\n                    <span class=\"download-meta\"><span class=\"download-filename\">Codex.dmg<\/span><\/span>\n                <\/span>\n                <span class=\"download-action\"><i class=\"fa-duotone fa-arrow-down-to-line\"><\/i><\/span>\n            <\/a>\n\n\n<h2 class=\"wp-block-heading\">Ce urmeaz\u0103 (\u00een termenii anun\u021bului)<\/h2>\n\n\n\n<p>Direc\u021bia declarat\u0103 este c\u0103, odat\u0103 cu GPT\u20115.3\u2011Codex, Codex trece dincolo de scrierea de cod \u0219i folose\u0219te codul ca unealt\u0103 pentru a opera un computer \u0219i a finaliza munc\u0103 end-to-end. Prin \u00eempingerea limitei pentru un \u201ecoding agent\u201d, OpenAI spune c\u0103 deschide o clas\u0103 mai larg\u0103 de knowledge work: de la build &#038; deploy la research, analiz\u0103 \u0219i execu\u021bia de taskuri complexe. Practic, ceea ce a pornit ca \u201ecel mai bun agent de coding\u201d devine fundamentul unui colaborator generalist pe computer.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Appendix: scoruri raportate (xhigh reasoning effort)<\/h2>\n\n\n\n<p>\u00cen anex\u0103, OpenAI public\u0103 un tabel cu scoruri pentru GPT\u20115.3\u2011Codex (xhigh), GPT\u20115.2\u2011Codex (xhigh) \u0219i GPT\u20115.2 (xhigh). Toate evalu\u0103rile din postarea de blog sunt rulate cu GPT\u20115.3\u2011Codex la xhigh reasoning effort.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n\n<li>SWE\u2011Bench Pro (Public): GPT\u20115.3\u2011Codex 56.8% | GPT\u20115.2\u2011Codex 56.4% | GPT\u20115.2 55.6%<\/li>\n\n\n<li>Terminal\u2011Bench 2.0: GPT\u20115.3\u2011Codex 77.3% | GPT\u20115.2\u2011Codex 64.0% | GPT\u20115.2 62.2%<\/li>\n\n\n<li>OSWorld\u2011Verified: GPT\u20115.3\u2011Codex 64.7% | GPT\u20115.2\u2011Codex 38.2% | GPT\u20115.2 37.9%<\/li>\n\n\n<li>GDPval (wins or ties): GPT\u20115.3\u2011Codex 70.9% | GPT\u20115.2\u2011Codex &#8211; | GPT\u20115.2 70.9% (high)<\/li>\n\n\n<li>Cybersecurity Capture The Flag Challenges: GPT\u20115.3\u2011Codex 77.6% | GPT\u20115.2\u2011Codex 67.4% | GPT\u20115.2 67.7%<\/li>\n\n\n<li>SWE\u2011Lancer IC Diamond: GPT\u20115.3\u2011Codex 81.4% | GPT\u20115.2\u2011Codex 76.0% | GPT\u20115.2 74.6%<\/li>\n\n<\/ul>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"2160\" height=\"2160\" src=\"https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/System_Card_Art.webp\" alt=\"Ilustra\u021bie pentru System Card-ul GPT-5.3-Codex\" class=\"wp-image-208\" srcset=\"https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/System_Card_Art.webp 2160w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/System_Card_Art-300x300.webp 300w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/System_Card_Art-1024x1024.webp 1024w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/System_Card_Art-150x150.webp 150w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/System_Card_Art-768x768.webp 768w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/System_Card_Art-1536x1536.webp 1536w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/System_Card_Art-2048x2048.webp 2048w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/System_Card_Art-400x400.webp 400w\" sizes=\"auto, (max-width: 2160px) 100vw, 2160px\" \/><figcaption class=\"wp-element-caption\">Artwork asociat cu GPT-5.3-Codex System Card. \u2014 <em>Forr\u00e1s: OpenAI<\/em><\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"2400\" height=\"1260\" src=\"https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/Codex_Landing_Page_SEO.webp\" alt=\"Imagine de prezentare pentru Codex app (landing page)\" class=\"wp-image-209\" srcset=\"https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/Codex_Landing_Page_SEO.webp 2400w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/Codex_Landing_Page_SEO-300x158.webp 300w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/Codex_Landing_Page_SEO-1024x538.webp 1024w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/Codex_Landing_Page_SEO-768x403.webp 768w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/Codex_Landing_Page_SEO-1536x806.webp 1536w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/Codex_Landing_Page_SEO-2048x1075.webp 2048w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/Codex_Landing_Page_SEO-400x210.webp 400w\" sizes=\"auto, (max-width: 2400px) 100vw, 2400px\" \/><figcaption class=\"wp-element-caption\">Imagine de prezentare folosit\u0103 pentru pagina Codex app. \u2014 <em>Forr\u00e1s: OpenAI<\/em><\/figcaption><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"2160\" height=\"2160\" src=\"https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/OAI_GPT-5.2-Codex_ArtCard_1x1.webp\" alt=\"Art card pentru articolul GPT-5.2-Codex\" class=\"wp-image-210\" srcset=\"https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/OAI_GPT-5.2-Codex_ArtCard_1x1.webp 2160w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/OAI_GPT-5.2-Codex_ArtCard_1x1-300x300.webp 300w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/OAI_GPT-5.2-Codex_ArtCard_1x1-1024x1024.webp 1024w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/OAI_GPT-5.2-Codex_ArtCard_1x1-150x150.webp 150w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/OAI_GPT-5.2-Codex_ArtCard_1x1-768x768.webp 768w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/OAI_GPT-5.2-Codex_ArtCard_1x1-1536x1536.webp 1536w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/OAI_GPT-5.2-Codex_ArtCard_1x1-2048x2048.webp 2048w, https:\/\/helloblog.io\/app\/uploads\/sites\/10\/2026\/02\/OAI_GPT-5.2-Codex_ArtCard_1x1-400x400.webp 400w\" sizes=\"auto, (max-width: 2160px) 100vw, 2160px\" \/><figcaption class=\"wp-element-caption\">Card vizual asociat cu anun\u021bul GPT-5.2-Codex. \u2014 <em>Forr\u00e1s: OpenAI<\/em><\/figcaption><\/figure>\n\n\n<div class=\"references-section\">\n                <h2>Referin\u021be \/ Surse<\/h2>\n                <ul class=\"references-list\"><li><a href=\"https:\/\/openai.com\/index\/introducing-gpt-5-3-codex\/\" target=\"_blank\" rel=\"noopener noreferrer\">Introducing GPT-5.3-Codex<\/a><\/li><li><a href=\"https:\/\/openai.com\/index\/introducing-the-codex-app\/\" target=\"_blank\" rel=\"noopener noreferrer\">introducing-the-codex-app<\/a><\/li><li><a href=\"https:\/\/openai.com\/index\/gdpval\/\" target=\"_blank\" rel=\"noopener noreferrer\">gdpval<\/a><\/li><li><a href=\"https:\/\/openai.com\/index\/strengthening-cyber-resilience\/\" target=\"_blank\" rel=\"noopener noreferrer\">strengthening-cyber-resilience<\/a><\/li><li><a href=\"https:\/\/openai.com\/index\/gpt-5-3-codex-system-card\/\" target=\"_blank\" rel=\"noopener noreferrer\">gpt-5-3-codex-system-card<\/a><\/li><li><a href=\"https:\/\/openai.com\/index\/updating-our-preparedness-framework\/\" target=\"_blank\" rel=\"noopener noreferrer\">updating-our-preparedness-framework<\/a><\/li><li><a href=\"https:\/\/openai.com\/index\/trusted-access-for-cyber\/\" target=\"_blank\" rel=\"noopener noreferrer\">trusted-access-for-cyber<\/a><\/li><li><a href=\"https:\/\/openai.com\/index\/introducing-aardvark\/\" target=\"_blank\" rel=\"noopener noreferrer\">introducing-aardvark<\/a><\/li><li><a href=\"https:\/\/vercel.com\/changelog\/summaries-of-cve-2025-59471-and-cve-2025-59472\" target=\"_blank\" rel=\"noopener noreferrer\">Summaries of CVE-2025-59471 and CVE-2025-59472<\/a><\/li><li><a href=\"https:\/\/openai.com\/index\/openai-cybersecurity-grant-program\/\" target=\"_blank\" rel=\"noopener noreferrer\">OpenAI Cybersecurity Grant Program<\/a><\/li><\/ul>\n            <\/div>","protected":false},"excerpt":{"rendered":"<p>OpenAI a anun\u021bat GPT-5.3-Codex, un model agentic care nu se opre\u0219te la scris cod: poate rula taskuri lungi cu tool-uri, cercetare \u0219i execu\u021bie end-to-end, direct din Codex app, CLI, IDE \u0219i web.<\/p>\n","protected":false},"author":31,"featured_media":206,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[104],"tags":[107,105,109,108,106],"class_list":["post-211","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","tag-agentic-ai","tag-codex","tag-cybersecurity","tag-developer-tools","tag-gpt-5-3-codex"],"_links":{"self":[{"href":"https:\/\/helloblog.io\/ro\/wp-json\/wp\/v2\/posts\/211","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/helloblog.io\/ro\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/helloblog.io\/ro\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/helloblog.io\/ro\/wp-json\/wp\/v2\/users\/31"}],"replies":[{"embeddable":true,"href":"https:\/\/helloblog.io\/ro\/wp-json\/wp\/v2\/comments?post=211"}],"version-history":[{"count":0,"href":"https:\/\/helloblog.io\/ro\/wp-json\/wp\/v2\/posts\/211\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/helloblog.io\/ro\/wp-json\/wp\/v2\/media\/206"}],"wp:attachment":[{"href":"https:\/\/helloblog.io\/ro\/wp-json\/wp\/v2\/media?parent=211"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/helloblog.io\/ro\/wp-json\/wp\/v2\/categories?post=211"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/helloblog.io\/ro\/wp-json\/wp\/v2\/tags?post=211"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}