{"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\/sk\/blog\/news\/google-predstavila-gemini-3-deep-think-moshhnyj-ii-dlya-nauki-kotoryj-vsyo-eshhyo-podgonyaet-zadachi-pod-otvet","title":{"rendered":"Google predstavila Gemini 3 Deep Think \u2014 mocn\u00fd AI pre vedu, ktor\u00fd st\u00e1le \"prisp\u00f4sobuje\" \u00falohy odpovediam.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Spolo\u010dnos\u0165 Google vydala ve\u013ek\u00fa aktualiz\u00e1ciu. <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 platforma zalo\u017een\u00e1 na uva\u017euj\u00facej umelej inteligencii, ur\u010den\u00e1 na rie\u0161enie aktu\u00e1lnych probl\u00e9mov v oblasti vedy a in\u017einierstva.<\/p>\n<p><center><\/center><img decoding=\"async\" style=\"display: block; margin: 0 auto;\" src=\"\/wp-content\/uploads\/2026\/02\/c2a7f831150caa0b24cb49d920f7e3d8.jpg\" alt=\"Google predstavila Gemini 3 Deep Think \u2014 mocn\u00fd AI pre vedu, ktor\u00fd st\u00e1le &quot;prisp\u00f4sobuje&quot; \u00falohy odpovediam.\" \/><\/p>\n<p>V\u00fdvoj novej verzie Google Gemini 3 Deep Think prebiehal v spolupr\u00e1ci s vedcami \u2014 slu\u017eba m\u00e1 za cie\u013e rie\u0161i\u0165 zlo\u017eit\u00e9 v\u00fdskumn\u00e9 \u00falohy, ktor\u00fdch aspekty m\u00f4\u017eu nemusia ma\u0165 presn\u00e9 obmedzenia alebo jedin\u00e9 spr\u00e1vne rie\u0161enie, a sprievodn\u00e9 \u00fadaje m\u00f4\u017eu by\u0165 ne\u00fapln\u00e9 alebo neusporiadan\u00e9. Aktualizovan\u00e1 platforma Deep Think je pokusom prekro\u010di\u0165 hranice abstraktnej te\u00f3rie a prejs\u0165 do oblasti praktick\u00fdch aplik\u00e1ci\u00ed. Nov\u00fd re\u017eim je dostupn\u00fd priamo v aplik\u00e1cii Gemini, ale vyu\u017e\u00edva\u0165 ho m\u00f4\u017eu iba predplatitelia Google AI Ultra; spolo\u010dnos\u0165 tie\u017e po prv\u00fdkr\u00e1t otvor\u00ed pr\u00edstup k slu\u017ebe prostredn\u00edctvom API Gemini \u2014 in\u017einieri, vedci a podniky bud\u00fa musie\u0165 predlo\u017ei\u0165 pr\u00edslu\u0161n\u00fa \u017eiados\u0165.<\/p>\n<p>V teste Humanity\u2019s Last Exam platforma Google Gemini 3 Deep Think dosiahla 48,4 % bez pou\u017eitia extern\u00fdch n\u00e1strojov; v\u00fdsledok v benchmarku ARC-AGI-2 bol bezprecedentn\u00fdch 84,6 %. V teste programovania Codeforces z\u00edskala hodnotenie Elo 3455; v \u00faloh\u00e1ch Medzin\u00e1rodnej matematickej olympi\u00e1dy 2025 syst\u00e9m uk\u00e1zal \u00farove\u0148 zlatej medaily, rovnak\u00e9ho v\u00fdsledku dosiahol aj v rie\u0161en\u00ed \u00faloh olympi\u00e1d v ch\u00e9mii a fyzike. V teste CMT-Benchmark re\u017eim Google Gemini 3 Deep Think preuk\u00e1zal vysok\u00fa \u00farove\u0148 ovl\u00e1dania teoretickej fyziky s v\u00fdsledkom 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 predstavila Gemini 3 Deep Think \u2014 mocn\u00fd AI pre vedu, ktor\u00fd st\u00e1le &quot;prisp\u00f4sobuje&quot; \u00falohy odpovediam.\" \/><\/p>\n<p>Model Gemini 3 Deep Think sa stal z\u00e1kladom AI agenta, ktor\u00fd v laborat\u00f3riu Google DeepMind dostal n\u00e1zov <a href=\"https:\/\/deepmind.google\/blog\/accelerating-mathematical-and-scientific-discovery-with-gemini-deep-think\/\" target=\"_blank\" rel=\"nofollow noopener\">Aletheia<\/a>. Zahr\u0148uje prostriedok na overovanie hypot\u00e9z, formulovan\u00fdch prirodzen\u00fdm jazykom, na identifik\u00e1ciu nedostatkov v navrhovan\u00fdch rie\u0161eniach; je zahrnut\u00fd iterat\u00edvny proces generovania a \u00fapravy rie\u0161en\u00ed. D\u00f4le\u017eit\u00e9 je, \u017ee agent m\u00f4\u017ee uzna\u0165 svoju neschopnos\u0165 odpoveda\u0165 na po\u017eiadavku. Pri pr\u00e1ci so zlo\u017eit\u00fdmi v\u00fdskumami sa obracia na vyh\u013ead\u00e1vaciu slu\u017ebu Google a prostriedky webov\u00e9ho prehliadania \u2014 pri pr\u00edprave s\u00fahrnov zverejnenej literat\u00fary nezverej\u0148uje neexistuj\u00face odkazy a sna\u017e\u00ed sa vyhn\u00fa\u0165 nepresnostiam pri v\u00fdpo\u010dtoch.<\/p>\n<p>Skuto\u010dn\u00e9 a bud\u00face \u00farovne dosiahnutia Aletheia vyvinuli v\u00fdvoj\u00e1ri Google v piatich kateg\u00f3ri\u00e1ch. V prakticky plne auton\u00f3mnom re\u017eime AI agent na\u010drtol cesty rie\u0161enia troch otvoren\u00fdch \u00faloh, formulovan\u00fdch matematikom P\u00e1lom Erdosom \u2014 tento v\u00fdskum bol ocenen\u00fd na nulovej \u00farovni zodpovedaj\u00facej \u201en\u00edzkej novosti\u201c. V rovnakom re\u017eime navrhol rie\u0161enie \u010fal\u0161ej \u00falohy z tej istej sady, pri\u010dom dosiahol prv\u00fa \u00farove\u0148 alebo \u201eminim\u00e1lnu novos\u0165\u201c. Na druhej \u00farovni, \u201evhodnej na publikovanie\u201c, Aletheia uk\u00e1zala v\u00fdsledky v auton\u00f3mnom re\u017eime, v re\u017eime spolupr\u00e1ce s \u010dlovekom a ako pomocn\u00fd n\u00e1stroj. Tretia (\u201ev\u00fdznamn\u00fd prelom\u201c) a \u0161tvrt\u00e1 (\u201ehistorick\u00fd prelom\u201c) \u00farove\u0148 zatia\u013e agentovi neboli pr\u00edstupn\u00e9.<\/p>\n<p>Pod\u013ea zadania v\u00fdvoj\u00e1rov Aletheia analyzovala 700 dosia\u013e nevyrie\u0161en\u00fdch matematick\u00fdch \u00faloh Erdosu a zvl\u00e1dla 13 z nich. Pravda, u 9 \u00faloh sa na\u0161lo u\u017e existuj\u00face rie\u0161enie, a skuto\u010dne prv\u00fdkr\u00e1t vyrie\u0161en\u00e9 sa zdaj\u00fa by\u0165 iba 4 \u00falohy. Navy\u0161e, z 212 rie\u0161en\u00ed, ktor\u00e9 AI poskytlo, bolo \u201eobsahovo spr\u00e1vnych\u201c iba 6,5 %. Ostatn\u00e9 bu\u010f obsahovali z\u00e1kladn\u00e9 nedostatky (68,5 %), alebo rie\u0161ili nespr\u00e1vne interpretovan\u00e9 verzie p\u00f4vodn\u00fdch \u00faloh (31,5 %).<\/p>\n<p>V\u00fdsledkom je, \u017ee v\u00fdvoj\u00e1ri s\u00fahlasia s t\u00fdm, \u017ee ich AI vykazuje \u201etendenciu nespr\u00e1vne ch\u00e1pa\u0165 ot\u00e1zku tak, aby sa na \u0148u dalo \u013eah\u0161ie odpoveda\u0165\u201c a ost\u00e1va \u201eve\u013emi n\u00e1chyln\u00e9 na chyby v porovnan\u00ed s \u013eu\u010fmi\u201c. In\u00fdmi slovami, nahradi\u0165 matematikov AI zatia\u013e nedok\u00e1\u017ee.<\/p>\n<p><strong>Zdroje:<\/strong><\/p>\n<ul class=\"related\">\n<li><a title=\"Google Blog\" href=\"https:\/\/blog.google\/\" target=\"_blank\" rel=\"nofollow noopener\">Google Blog<\/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 \/>\nZdroj: <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 5.0.3 - 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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