{"id":160836,"date":"2026-02-13T11:12:14","date_gmt":"2026-02-13T09:12:18","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/google-predstavila-gemini-3-deep-think-moshhnyj-ii-dlya-nauki-kotoryj-vsyo-eshhyo-podgonyaet-zadachi-pod-otvet"},"modified":"2026-02-13T13:33:11","modified_gmt":"2026-02-13T11:33:11","slug":"google-predstavila-gemini-3-deep-think-moshhnyj-ii-dlya-nauki-kotoryj-vsyo-eshhyo-podgonyaet-zadachi-pod-otvet","status":"publish","type":"post","link":"https:\/\/prohoster.info\/ro\/blog\/news\/google-predstavila-gemini-3-deep-think-moshhnyj-ii-dlya-nauki-kotoryj-vsyo-eshhyo-podgonyaet-zadachi-pod-otvet","title":{"rendered":"Google a lansat Gemini 3 Deep Think \u2014 un AI puternic pentru \u0219tiin\u021b\u0103, care \u00eenc\u0103 \u201eadapt\u0103\u201d sarcinile la r\u0103spunsuri","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Compania Google a lansat o actualizare major\u0103 <a href=\"https:\/\/blog.google\/innovation-and-ai\/models-and-research\/gemini-models\/gemini-3-deep-think\/\" target=\"_blank\" rel=\"nofollow noopener\">Gemini 3 Deep Think<\/a> \u2014 o platform\u0103 bazat\u0103 pe inteligen\u021ba artificial\u0103 ra\u021bionant\u0103, destinat\u0103 s\u0103 rezolve probleme actuale din domeniul \u0219tiin\u021bei \u0219i ingineriei.<\/p>\n<p><center><\/center><img decoding=\"async\" style=\"display: block; margin: 0 auto;\" src=\"\/wp-content\/uploads\/2026\/02\/c2a7f831150caa0b24cb49d920f7e3d8.jpg\" alt=\"Google a lansat Gemini 3 Deep Think \u2014 un AI puternic pentru \u0219tiin\u021b\u0103, care \u00eenc\u0103 \u201eadapt\u0103\u201d sarcinile la r\u0103spunsuri\" \/><\/p>\n<p>Dezvoltarea noii versiuni Google Gemini 3 Deep Think a fost realizat\u0103 \u00eempreun\u0103 cu cercet\u0103tori \u2014 serviciul este destinat s\u0103 rezolve sarcini de cercetare complexe, ale c\u0103ror aspecte pot s\u0103 nu aib\u0103 limite clare sau o singur\u0103 solu\u021bie corect\u0103, iar datele \u00eenso\u021bitoare pot fi incomplete sau nesistematice. Platforma revizuit\u0103 Deep Think este o \u00eencercare de a dep\u0103\u0219i teoria abstract\u0103 \u0219i de a p\u0103trunde \u00een domeniul aplica\u021biilor practice. Noua op\u021biune este disponibil\u0103 direct \u00een aplica\u021bia Gemini, dar poate fi utilizat\u0103 doar de abona\u021bii Google AI Ultra; compania va deschide, de asemenea, pentru prima dat\u0103 accesul la serviciu prin API Gemini \u2014 inginerii, cercet\u0103torii \u0219i companiile trebuie s\u0103 depun\u0103 o cerere corespunz\u0103toare.<\/p>\n<p>\u00cen testul Humanity\u2019s Last Exam, platforma Google Gemini 3 Deep Think a ob\u021binut 48,4% f\u0103r\u0103 utilizarea unor unelte externe; rezultatul \u00een benchmark-ul ARC-AGI-2 a fost f\u0103r\u0103 precedent, 84,6%. \u00cen testul de programare Codeforces, ratingul Elo a fost de 3455; la problemele din Olimpiada Interna\u021bional\u0103 de Matematic\u0103 2025, sistemul a demonstrat un nivel de medalie de aur, acela\u0219i rezultat a fost ob\u021binut la rezolvarea problemelor din olimpiadele de chimie \u0219i fizic\u0103. \u00cen testul CMT-Benchmark, modul Google Gemini 3 Deep Think a demonstrat un nivel ridicat de st\u0103p\u00e2nire a fizicii teoretice, cu un rezultat de 50,5%.<\/p>\n<p><center><\/center><img decoding=\"async\" style=\"display: block; margin: 0 auto;\" src=\"\/wp-content\/uploads\/2026\/02\/346e3d6847003cecc1def42f99d8b766.jpg\" alt=\"Google a lansat Gemini 3 Deep Think \u2014 un AI puternic pentru \u0219tiin\u021b\u0103, care \u00eenc\u0103 \u201eadapt\u0103\u201d sarcinile la r\u0103spunsuri\" \/><\/p>\n<p>Modelul Gemini 3 Deep Think a stat la baza agentului AI, care \u00een laboratorul Google DeepMind a primit numele <a href=\"https:\/\/deepmind.google\/blog\/accelerating-mathematical-and-scientific-discovery-with-gemini-deep-think\/\" target=\"_blank\" rel=\"nofollow noopener\">Aletheia<\/a>. Acesta include un instrument de verificare a ipotezelor formulate \u00een limbaj natural, pentru a identifica deficien\u021bele \u00een solu\u021biile propuse; este prev\u0103zut un proces iterativ de generare \u0219i corectare a solu\u021biilor. Ce este important, agentul poate recunoa\u0219te incapacitatea de a oferi un r\u0103spuns la solicitare. Pentru a lucra cu cercet\u0103ri complexe, acesta apeleaz\u0103 la serviciul de c\u0103utare Google \u0219i la instrumentele de navigare pe web \u2014 la preg\u0103tirea sintezelor literaturii publicate nu furnizeaz\u0103 linkuri inexistente \u0219i \u00eencearc\u0103 s\u0103 evite erorile \u00een calcul.<\/p>\n<p>Dezvoltatorii Google au distribuit realiz\u0103rile actuale \u0219i viitoare ale Aletheia \u00een cinci categorii. \u00cen mod practic complet autonom, agentul AI a conturat metodele de solu\u021bionare a trei probleme deschise formulate de matematicianul P\u00e1l Erd\u0151s \u2014 aceast\u0103 cercetare a fost apreciat\u0103 la nivelul zero, corespondent cu \u201enoul semnificativ\u201d. \u00cen aceea\u0219i manier\u0103, acesta a propus solu\u021bia unei alte probleme din acel set, ating\u00e2nd primul nivel sau \u201enoul minim\u201d. La al doilea nivel, \u201epublicabil\u201d, Aletheia a ar\u0103tat rezultate \u00een mod autonom, \u00een regimul de colaborare cu un om \u0219i ca instrument auxiliar. Cele de-a treia (\u201eavans semnificativ\u201d) \u0219i a patra (\u201eavans remarcabil\u201d) categorii nu au fost deocamdat\u0103 accesibile agentului AI.<\/p>\n<p>La cererea dezvoltatorilor, Aletheia a analizat 700 de probleme matematice nerezolvate de Erd\u0151s \u0219i a rezolvat 13 dintre ele. Totu\u0219i, pentru 9 probleme s-a g\u0103sit deja o solu\u021bie existent\u0103, iar doar 4 probleme par a fi fost \u00eentr-adev\u0103r rezolvate pentru prima dat\u0103. Mai mult, din cele 212 solu\u021bii prezentate de AI, doar 6,5 % s-au dovedit a fi \u201ecorecte din punct de vedere substan\u021bial\u201d. Restul aveau fie deficien\u021be fundamentale (68,5 %), fie rezolvau versiuni gre\u0219it interpretate de agentul AI ale problemelor ini\u021biale (31,5 %).<\/p>\n<p>Ca urmare, dezvoltatorii au convenit c\u0103 AI-ul lor demonstreaz\u0103 \u201eo tendin\u021b\u0103 de a interpreta \u00eentreb\u0103rile gre\u0219it astfel \u00eenc\u00e2t s\u0103 fie mai u\u0219or de r\u0103spuns\u201d \u0219i r\u0103m\u00e2ne \u201eextrem de predispus la erori \u00een compara\u021bie cu oamenii\u201d. Cu alte cuvinte, AI-ul nu poate \u00eenlocui \u00een prezent matematicienii.<\/p>\n<p><strong>Surse:<\/strong><\/p>\n<ul class=\"related\">\n<li><a title=\"Blogul Google\" href=\"https:\/\/blog.google\/\" target=\"_blank\" rel=\"nofollow noopener\">Blogul Google<\/a><\/li>\n<li><a title=\"Google DeepMind\" href=\"https:\/\/deepmind.google\/\" target=\"_blank\" rel=\"nofollow noopener\">Google DeepMind<\/a><\/li>\n<\/ul>\n<p><center><center><\/center><center><\/center><\/center><center><\/center><br \/>\nSursa: <a rel=\"nofollow\" href=\"https:\/\/3dnews.ru\/1136813\">3dnews.ru<\/a><\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u0432\u044b\u043f\u0443\u0441\u0442\u0438\u043b\u0430 \u043a\u0440\u0443\u043f\u043d\u043e\u0435 \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 Gemini 3 Deep Think \u2014 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u044b \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u0440\u0430\u0441\u0441\u0443\u0436\u0434\u0430\u044e\u0449\u0435\u0433\u043e \u0438\u0441\u043a\u0443\u0441\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e \u0438\u043d\u0442\u0435\u043b\u043b\u0435\u043a\u0442\u0430, \u043f\u0440\u0435\u0434\u043d\u0430\u0437\u043d\u0430\u0447\u0435\u043d\u043d\u043e\u0439 \u0434\u043b\u044f \u0440\u0435\u0448\u0435\u043d\u0438\u044f \u0430\u043a\u0442\u0443\u0430\u043b\u044c\u043d\u044b\u0445 \u0437\u0430\u0434\u0430\u0447 \u0432 \u043e\u0431\u043b\u0430\u0441\u0442\u0438 \u043d\u0430\u0443\u043a\u0438 \u0438 \u0438\u043d\u0436\u0435\u043d\u0435\u0440\u043d\u043e\u0433\u043e \u0434\u0435\u043b\u0430. \u0420\u0430\u0437\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u043d\u043e\u0432\u043e\u0439 \u0432\u0435\u0440\u0441\u0438\u0438 Google Gemini 3 Deep Think \u0432\u0435\u043b\u0430\u0441\u044c \u0441\u043e\u0432\u043c\u0435\u0441\u0442\u043d\u043e \u0441 \u0443\u0447\u0451\u043d\u044b\u043c\u0438 \u2014 \u0441\u0435\u0440\u0432\u0438\u0441 \u043f\u0440\u0438\u0437\u0432\u0430\u043d \u0440\u0435\u0448\u0430\u0442\u044c \u0441\u043b\u043e\u0436\u043d\u044b\u0435 \u0438\u0441\u0441\u043b\u0435\u0434\u043e\u0432\u0430\u0442\u0435\u043b\u044c\u0441\u043a\u0438\u0435 \u0437\u0430\u0434\u0430\u0447\u0438, \u0447\u044c\u0438 \u0430\u0441\u043f\u0435\u043a\u0442\u044b \u043c\u043e\u0433\u0443\u0442 \u043d\u0435 \u0438\u043c\u0435\u0442\u044c \u0447\u0451\u0442\u043a\u0438\u0445 \u043e\u0433\u0440\u0430\u043d\u0438\u0447\u0435\u043d\u0438\u0439 \u0438\u043b\u0438 \u0435\u0434\u0438\u043d\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u0433\u043e [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":8,"featured_media":160837,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-160836","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Google \u0432\u044b\u043f\u0443\u0441\u0442\u0438\u043b\u0430 \u043a\u0440\u0443\u043f\u043d\u043e\u0435 \u043e\u0431\u043d\u043e\u0432\u043b\u0435\u043d\u0438\u0435 Gemini 3 Deep Think \u2014.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Erik Peterson\"\/>\n\t<link rel=\"canonical\" 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