{"id":118558,"date":"2026-02-12T19:53:43","date_gmt":"2026-02-12T19:53:43","guid":{"rendered":"https:\/\/enfoquenoticioso.com\/?p=118558"},"modified":"2026-02-12T19:53:43","modified_gmt":"2026-02-12T19:53:43","slug":"la-ia-de-google-que-resuelve-problemas-cientificos","status":"publish","type":"post","link":"https:\/\/enfoquenoticioso.com\/?p=118558","title":{"rendered":"la IA de Google que resuelve problemas cient\u00edficos"},"content":{"rendered":"<div>\n<p><strong>Google <\/strong>ha lanzado una nueva versi\u00f3n de su modelo de razonamiento m\u00e1s potente. El gigante tecnol\u00f3gico anunci\u00f3 que <strong>Gemini 3 Deep Think<\/strong> se actualizar\u00e1 para<strong> resolver problemas cient\u00edficos, de investigaci\u00f3n y de ingenier\u00eda<\/strong>. En las primeras pruebas de rendimiento, Google supera a otros modelos como GPT-5.2 y Claude Sonnet 4.5 en tareas de razonamiento y conocimiento cient\u00edfico.<\/p>\n<p>A diferencia de las versiones est\u00e1ndar, Gemini 3 Deep Think <strong>utiliza una t\u00e9cnica de razonamiento especial<\/strong>, la cual le permite \u00abpensar\u00bb antes de ejecutar. Una vez que se hace una consulta, el modelo eval\u00faa m\u00faltiples rutas l\u00f3gicas y descarta aquellas inconsistentes antes de entregar la respuesta. Esto es similar a un mecanismo de autocorrecci\u00f3n, una caracter\u00edstica que los modelos convencionales no tienen.<\/p>\n<p>De acuerdo con <a href=\"https:\/\/blog.google\/innovation-and-ai\/models-and-research\/gemini-models\/gemini-3-deep-think\/\" target=\"_blank\" rel=\"noreferrer noopener\"><u>una publicaci\u00f3n en su blog<\/u><\/a>, Google desarroll\u00f3 Gemini 3 Deep Think en colaboraci\u00f3n con cient\u00edficos e investigadores. El modelo no solo <strong>destaca en matem\u00e1ticas y programaci\u00f3n<\/strong>, sino tambi\u00e9n al resolver problemas de qu\u00edmica y f\u00edsica de nivel de competencia ol\u00edmpica. Tambi\u00e9n es capaz de manejar conceptos de f\u00edsica te\u00f3rica avanzada y razonamiento visual.<\/p>\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-3 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" data-recalc-dims=\"1\" decoding=\"async\" width=\"1080\" height=\"1080\" data-id=\"1875131\" alt=\"\" class=\"wp-image-1875131 perfmatters-lazy\" src=\"https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-2.jpg?resize=1080%2C1080&amp;quality=70&amp;strip=all&amp;ssl=1\" srcset=\"https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-2.jpg?w=1080&amp;quality=70&amp;strip=all&amp;ssl=1 1080w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-2.jpg?resize=800%2C800&amp;quality=70&amp;strip=all&amp;ssl=1 800w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-2.jpg?resize=150%2C150&amp;quality=70&amp;strip=all&amp;ssl=1 150w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-2.jpg?resize=768%2C768&amp;quality=70&amp;strip=all&amp;ssl=1 768w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-2.jpg?resize=600%2C600&amp;quality=70&amp;strip=all&amp;ssl=1 600w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-2.jpg?resize=400%2C400&amp;quality=70&amp;strip=all&amp;ssl=1 400w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-2.jpg?resize=200%2C200&amp;quality=70&amp;strip=all&amp;ssl=1 200w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-2.jpg?resize=1024%2C1024&amp;quality=70&amp;strip=all&amp;ssl=1 1024w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-2.jpg?resize=780%2C780&amp;quality=70&amp;strip=all&amp;ssl=1 780w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-2.jpg?w=370&amp;quality=70&amp;strip=all&amp;ssl=1 370w\" data-sizes=\"auto, (max-width: 1080px) 100vw, 1080px\"\/><\/figure>\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" data-recalc-dims=\"1\" decoding=\"async\" width=\"1080\" height=\"1080\" data-id=\"1875132\" alt=\"\" class=\"wp-image-1875132 perfmatters-lazy\" src=\"https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-1.jpg?resize=1080%2C1080&amp;quality=70&amp;strip=all&amp;ssl=1\" srcset=\"https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-1.jpg?w=1080&amp;quality=70&amp;strip=all&amp;ssl=1 1080w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-1.jpg?resize=800%2C800&amp;quality=70&amp;strip=all&amp;ssl=1 800w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-1.jpg?resize=150%2C150&amp;quality=70&amp;strip=all&amp;ssl=1 150w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-1.jpg?resize=768%2C768&amp;quality=70&amp;strip=all&amp;ssl=1 768w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-1.jpg?resize=600%2C600&amp;quality=70&amp;strip=all&amp;ssl=1 600w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-1.jpg?resize=400%2C400&amp;quality=70&amp;strip=all&amp;ssl=1 400w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-1.jpg?resize=200%2C200&amp;quality=70&amp;strip=all&amp;ssl=1 200w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-1.jpg?resize=1024%2C1024&amp;quality=70&amp;strip=all&amp;ssl=1 1024w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-1.jpg?resize=780%2C780&amp;quality=70&amp;strip=all&amp;ssl=1 780w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini-deep-think-1.jpg?w=370&amp;quality=70&amp;strip=all&amp;ssl=1 370w\" data-sizes=\"auto, (max-width: 1080px) 100vw, 1080px\"\/><\/figure>\n<\/figure>\n<p>\u00abDeep Think est\u00e1 dise\u00f1ado para impulsar aplicaciones pr\u00e1cticas, permitiendo a los investigadores interpretar datos complejos y a los ingenieros modelar sistemas f\u00edsicos mediante c\u00f3digo\u00bb, mencion\u00f3 la compa\u00f1\u00eda.<\/p>\n<p>En t\u00e9rminos de rendimiento, Deep Think cuenta con una<strong> precisi\u00f3n mayor en tareas que requieren combinar visi\u00f3n y razonamiento l\u00f3gico<\/strong>, como la interpretaci\u00f3n de diagramas de flujos complejos. Los benchmarks tambi\u00e9n muestran que la IA puede manejar contextos extensos, pudiendo cruzar variables en documentos de cientos de p\u00e1ginas sin perder la coherencia.<\/p>\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_81 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Tabla de Contenido<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Alternar tabla de contenidos\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/enfoquenoticioso.com\/?p=118558\/#Gemini_3_Deep_Think_supera_a_Claude_y_ChatGPT\" >Gemini 3 Deep Think supera a Claude y ChatGPT<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\" id=\"h-gemini-3-deep-think-supera-a-claude-y-chatgpt\"><span class=\"ez-toc-section\" id=\"Gemini_3_Deep_Think_supera_a_Claude_y_ChatGPT\"><\/span>Gemini 3 Deep Think supera a Claude y ChatGPT<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>En la prueba de Humanity&#8217;s Last Exam, que abarca<strong> los problemas m\u00e1s dif\u00edciles de matem\u00e1ticas, ciencias e ingenier\u00eda<\/strong>, Gemini 3 Deep Think super\u00f3 por ocho puntos a Claude Opus 4.6 y por mucho m\u00e1s a GPT-5.2. En el benchmark de Codeforces, la IA consigui\u00f3 un puntaje de 3455 que demuestra que puede resolver <strong>tareas complejas de programaci\u00f3n<\/strong> del mundo real.<\/p>\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" data-recalc-dims=\"1\" decoding=\"async\" width=\"1500\" height=\"844\" alt=\"\" class=\"wp-image-1875128 perfmatters-lazy\" src=\"https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_charts_1-1500x844.jpg?resize=1500%2C844&amp;quality=70&amp;strip=all&amp;ssl=1\" srcset=\"https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_charts_1-scaled.jpg?resize=1500%2C844&amp;quality=70&amp;strip=all&amp;ssl=1 1500w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_charts_1-scaled.jpg?resize=800%2C450&amp;quality=70&amp;strip=all&amp;ssl=1 800w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_charts_1-scaled.jpg?resize=768%2C432&amp;quality=70&amp;strip=all&amp;ssl=1 768w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_charts_1-scaled.jpg?resize=1536%2C864&amp;quality=70&amp;strip=all&amp;ssl=1 1536w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_charts_1-scaled.jpg?resize=2048%2C1152&amp;quality=70&amp;strip=all&amp;ssl=1 2048w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_charts_1-scaled.jpg?resize=1200%2C675&amp;quality=70&amp;strip=all&amp;ssl=1 1200w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_charts_1-scaled.jpg?resize=1024%2C576&amp;quality=70&amp;strip=all&amp;ssl=1 1024w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_charts_1-scaled.jpg?resize=2000%2C1125&amp;quality=70&amp;strip=all&amp;ssl=1 2000w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_charts_1-scaled.jpg?resize=780%2C439&amp;quality=70&amp;strip=all&amp;ssl=1 780w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_charts_1-scaled.jpg?resize=400%2C225&amp;quality=70&amp;strip=all&amp;ssl=1 400w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_charts_1-1500x844.jpg?w=370&amp;quality=70&amp;strip=all&amp;ssl=1 370w\" data-sizes=\"auto, (max-width: 1500px) 100vw, 1500px\"\/><\/figure>\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" data-recalc-dims=\"1\" decoding=\"async\" width=\"1500\" height=\"933\" alt=\"\" class=\"wp-image-1875127 perfmatters-lazy\" src=\"https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_table_1-1500x933.jpg?resize=1500%2C933&amp;quality=70&amp;strip=all&amp;ssl=1\" srcset=\"https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_table_1.jpg?resize=1500%2C933&amp;quality=70&amp;strip=all&amp;ssl=1 1500w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_table_1.jpg?resize=800%2C498&amp;quality=70&amp;strip=all&amp;ssl=1 800w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_table_1.jpg?resize=768%2C478&amp;quality=70&amp;strip=all&amp;ssl=1 768w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_table_1.jpg?resize=1536%2C956&amp;quality=70&amp;strip=all&amp;ssl=1 1536w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_table_1.jpg?resize=2048%2C1274&amp;quality=70&amp;strip=all&amp;ssl=1 2048w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_table_1.jpg?resize=1200%2C747&amp;quality=70&amp;strip=all&amp;ssl=1 1200w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_table_1.jpg?resize=1024%2C637&amp;quality=70&amp;strip=all&amp;ssl=1 1024w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_table_1.jpg?resize=2000%2C1245&amp;quality=70&amp;strip=all&amp;ssl=1 2000w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_table_1.jpg?resize=780%2C485&amp;quality=70&amp;strip=all&amp;ssl=1 780w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_table_1.jpg?resize=400%2C249&amp;quality=70&amp;strip=all&amp;ssl=1 400w, https:\/\/i0.wp.com\/imgs.hipertextual.com\/wp-content\/uploads\/2026\/02\/gemini_3_deep-think_evals_table_1-1500x933.jpg?w=370&amp;quality=70&amp;strip=all&amp;ssl=1 370w\" data-sizes=\"auto, (max-width: 1500px) 100vw, 1500px\"\/><\/figure>\n<p>Aprovechando el enfoque cient\u00edfico, Google invit\u00f3 a investigadores para que utilizaran su IA en diversas tareas. Lisa Carbone, matem\u00e1tica de la Universidad de Rutgers, us\u00f3 Deep Think para identificar errores en un art\u00edculo de matem\u00e1ticas complejo. Tras el an\u00e1lisis, el modelo <strong>encontr\u00f3 un fallo l\u00f3gico <\/strong>que no pudo ser detectado por la revisi\u00f3n de pares humana.<\/p>\n<p>Por otro lado, el Laboratorio Wang de la Universidad de Duke us\u00f3 Deep Think para <strong>optimizar la fabricaci\u00f3n de semiconductores<\/strong>. La IA fue capaz de dise\u00f1ar una receta para cultivar pel\u00edculas microm\u00e9tricas que servir\u00e1n como materiales para los dispositivos del futuro.<\/p>\n<p>Gemini 3 Deep Think <strong>ya est\u00e1 disponible en la app de Gemini para usuarios del nivel AI Ultra<\/strong>. Google tambi\u00e9n implement\u00f3 un programa de acceso anticipado a trav\u00e9s de la API de Gemini para cient\u00edficos, ingenieros y empresas.<\/p>\n<section id=\"block-157\" class=\"below-content widget widget_block\"\/>\t<\/div>\n<p><a href=\"https:\/\/hipertextual.com\/inteligencia-artificial\/gemini-3-deep-think-razonamiento-avanzado-google\/\" class=\" target=\" title=\"la IA de Google que resuelve problemas cient\u00edficos\" target=\"_blank\" rel=\"noopener\">Ver fuente<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Google ha lanzado una nueva versi\u00f3n de su modelo de razonamiento m\u00e1s potente. El gigante tecnol\u00f3gico anunci\u00f3 que Gemini 3 Deep Think se actualizar\u00e1 para resolver problemas cient\u00edficos, de investigaci\u00f3n y de ingenier\u00eda. En las primeras pruebas de rendimiento, Google supera a otros modelos como GPT-5.2 y Claude Sonnet 4.5 en tareas de razonamiento y [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":118559,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[],"class_list":["post-118558","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tecnologia"],"_links":{"self":[{"href":"https:\/\/enfoquenoticioso.com\/index.php?rest_route=\/wp\/v2\/posts\/118558","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/enfoquenoticioso.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/enfoquenoticioso.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/enfoquenoticioso.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/enfoquenoticioso.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=118558"}],"version-history":[{"count":0,"href":"https:\/\/enfoquenoticioso.com\/index.php?rest_route=\/wp\/v2\/posts\/118558\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/enfoquenoticioso.com\/index.php?rest_route=\/wp\/v2\/media\/118559"}],"wp:attachment":[{"href":"https:\/\/enfoquenoticioso.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=118558"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/enfoquenoticioso.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=118558"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/enfoquenoticioso.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=118558"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}