{"id":3666,"date":"2026-06-12T18:46:11","date_gmt":"2026-06-12T16:46:11","guid":{"rendered":"https:\/\/zumim.com.html?p=3666"},"modified":"2026-06-12T18:58:53","modified_gmt":"2026-06-12T16:58:53","slug":"ia-escritura-mas-plana","status":"publish","type":"post","link":"https:\/\/zumim.com\/es\/ia-escritura-mas-plana.html","title":{"rendered":"Los modelos de OpenAI y Anthropic avanzan, pero la escritura se siente m\u00e1s plana"},"content":{"rendered":"\n

Los modelos de OpenAI y Anthropic est\u00e1n mejorando a nivel t\u00e9cnico, pero su estilo de escritura se siente m\u00e1s plano que antes. Se trata de una paradoja que muchos usuarios empiezan a percibir sin poder formularla siempre con claridad. Los benchmarks progresan, las capacidades de razonamiento se afinan y, sin embargo, algo parece haberse desvanecido en la textura misma de los textos generados. Este art\u00edculo explora este fen\u00f3meno, sus causas probables y sus implicaciones para cualquiera que utilice estas herramientas en su d\u00eda a d\u00eda.<\/p>\n\n\n\n

Una paradoja muy real: m\u00e1s eficientes, pero menos impactantes<\/h2>\n\n\n\n

Basta con comparar los resultados de GPT-4 o Claude 3 con los obtenidos hace un a\u00f1o para notar una diferencia de tono. Las respuestas son m\u00e1s largas, est\u00e1n mejor estructuradas y son m\u00e1s f\u00e1ciles de leer. Pero han perdido algo esencial: cierta singularidad, la voluntad de asumir riesgos en la expresi\u00f3n, una voz reconocible.<\/p>\n\n\n\n

Esta observaci\u00f3n, compartida por muchos profesionales del sector digital, fue resumida con precisi\u00f3n por el empresario Nav Toor en X (antes Twitter): las instrucciones (prompts) que funcionaban de maravilla hace seis meses producen hoy resultados menos satisfactorios. La escritura suena m\u00e1s uniforme; las ideas son m\u00e1s seguras, m\u00e1s consensuadas. El modelo parece haber aprendido a no decepcionar nunca, a costa de no sorprender jam\u00e1s.<\/p>\n\n\n\n

La b\u00fasqueda de la neutralidad como trampa estil\u00edstica<\/h2>\n\n\n\n

Para entender este cambio, hay que analizar los procesos de entrenamiento. Los grandes modelos de lenguaje como GPT-4o o Claude 3.5 Sonnet se refinan despu\u00e9s de su fase de preentrenamiento mediante t\u00e9cnicas como el RLHF (Aprendizaje por refuerzo a partir de la retroalimentaci\u00f3n humana). Evaluadores humanos califican las respuestas y el modelo aprende a maximizar esas puntuaciones.<\/p>\n\n\n\n

El problema es que los evaluadores humanos tienden a preferir respuestas legibles, educadas y sin asperezas. Una formulaci\u00f3n audaz puede parecer incorrecta a un evaluador poco familiarizado con el contexto. Una met\u00e1fora original puede resultar vaga. Como resultado, el modelo converge hacia un estilo intermedio: aceptable para todos, memorable para nadie.<\/p>\n\n\n\n

Esto es lo que algunos investigadores de IA denominan el \u00abproblema de la escritura mediana\u00bb (median writing problem): la optimizaci\u00f3n hacia la preferencia humana promedio produce una prosa mediocre en el sentido etimol\u00f3gico de la palabra, es decir, una prosa del medio.<\/p>\n\n\n\n

La web como espejo deformante: la contaminaci\u00f3n de los datos de entrenamiento<\/h2>\n\n\n\n

Un segundo factor agrava este fen\u00f3meno. Desde la explosi\u00f3n del uso de los LLM (grandes modelos de lenguaje) en 2023 y 2024, una proporci\u00f3n cada vez mayor del contenido publicado en Internet es generado por los propios modelos de IA. Art\u00edculos de blog, boletines informativos (newsletters), publicaciones en LinkedIn y p\u00e1ginas de productos: todo redactado parcial o totalmente por herramientas como ChatGPT o Claude.<\/p>\n\n\n\n

Este contenido vuelve a ingresar al corpus de entrenamiento de las futuras versiones de los modelos. Entramos as\u00ed en un bucle de retroalimentaci\u00f3n estil\u00edstica: el modelo aprende a imitar a una web que ya lo est\u00e1 imitando a \u00e9l. Cada iteraci\u00f3n homogeneiza un poco m\u00e1s el resultado. La escritura se vuelve circular, autorreferencial y desprovista de la fricci\u00f3n creativa que solo la experiencia humana directa puede generar.<\/p>\n\n\n\n

Cuando toda la web empieza a parecerse<\/h2>\n\n\n\n

Esta din\u00e1mica tiene consecuencias que van mucho m\u00e1s all\u00e1 de las simples herramientas de IA. El lector atento nota que los art\u00edculos de blog se parecen cada vez m\u00e1s, que los correos electr\u00f3nicos profesionales comparten las mismas f\u00f3rmulas y que los boletines adoptan estructuras id\u00e9nticas. No es una coincidencia: es la firma invisible de modelos entrenados con los mismos datos y desplegados a gran escala.<\/p>\n\n\n\n

La diversidad estil\u00edstica de la web, que sol\u00eda ser su mayor riqueza, se est\u00e1 erosionando progresivamente. Y parad\u00f3jicamente, los modelos de OpenAI y Anthropic mejoran t\u00e9cnicamente mientras contribuyen a este empobrecimiento colectivo del lenguaje en l\u00ednea.<\/p>\n\n\n\n

Comparaci\u00f3n de los principales modelos: rendimiento frente a calidad de escritura<\/h2>\n\n\n\n
Modelo<\/th>Desarrollador<\/th>Rendimiento T\u00e9cnico (Benchmark)<\/th>Calidad Estil\u00edstica Percibida<\/th>Tendencia Observada<\/th><\/tr><\/thead>
GPT-4o<\/strong><\/td>OpenAI<\/td>Muy alto<\/td>Correcta, pero uniforme<\/td>Aplanamiento del estilo desde finales de 2024<\/td><\/tr>
Claude 3.5 Sonnet<\/strong><\/td>Anthropic<\/td>Muy alto<\/td>Fluida, pero consensuada<\/td>Tendencia a evitar opiniones firmes<\/td><\/tr>
GPT-4 (Versi\u00f3n Inicial)<\/strong><\/td>OpenAI<\/td>Alto<\/td>M\u00e1s singular, a veces \u00e1spera<\/td>Punto de referencia nost\u00e1lgico para muchos usuarios<\/td><\/tr>
Claude 2<\/strong><\/td>Anthropic<\/td>Medio a alto<\/td>Voz m\u00e1s marcada<\/td>Considerado m\u00e1s \u00abhumano\u00bb por algunos redactores<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Por qu\u00e9 esto importa a los profesionales del contenido<\/h2>\n\n\n\n

Para los redactores, especialistas en marketing, periodistas o creadores de contenido, esta evoluci\u00f3n no es insignificante. Utilizar un LLM para producir textos que se funden con la masa es una estrategia a corto plazo. Si todo el mundo utiliza las mismas herramientas configuradas de la misma manera, la diferenciaci\u00f3n se vuelve imposible.<\/p>\n\n\n\n

Esto tambi\u00e9n plantea una pregunta m\u00e1s profunda sobre el valor a\u00f1adido humano en el proceso de escritura. Si la m\u00e1quina produce una prosa correcta pero ins\u00edpida, corresponde al ser humano aportar la tensi\u00f3n narrativa, el punto de vista firme, la an\u00e9cdota personal y la met\u00e1fora inesperada. La IA se convierte entonces en una herramienta de formato, no de creaci\u00f3n.<\/p>\n\n\n\n

Estrategias concretas para eludir el aplanamiento estil\u00edstico<\/h2>\n\n\n\n

Ante este panorama, varios enfoques permiten recuperar la originalidad en las producciones asistidas por IA:<\/p>\n\n\n\n

    \n
  • Inyectar una voz fuerte en el prompt:<\/strong> En lugar de pedir simplemente \u00abescribe un art\u00edculo sobre X\u00bb, es m\u00e1s eficaz especificar el tono, las referencias culturales, las expresiones a evitar o incluso proporcionar ejemplos de su propia escritura.<\/li>\n\n\n\n
  • Usar la IA como copiloto, no como piloto autom\u00e1tico:<\/strong> Generar un primer borrador y luego reelaborarlo en profundidad para insertar observaciones personales, ejemplos concretos extra\u00eddos de la experiencia real y formulaciones que rompan el ritmo previsto.<\/li>\n<\/ul>\n\n\n\n

    La responsabilidad de los desarrolladores de modelos<\/h2>\n\n\n\n

    OpenAI y Anthropic no son ajenos a estas cr\u00edticas. Ambas empresas han reconocido p\u00fablicamente las limitaciones del RLHF en t\u00e9rminos de creatividad y estilo. Anthropic, en particular, ha invertido en investigaciones sobre \u00abIA Constitucional\u00bb y otros m\u00e9todos destinados a reducir los sesgos de aplanamiento estil\u00edstico.<\/p>\n\n\n\n

    Sin embargo, las limitaciones comerciales juegan en contra de la audacia creativa. Un modelo que ofrece respuestas tajantes, defiende posiciones originales o adopta un estilo poco convencional corre un mayor riesgo de ofender a ciertos usuarios. Para las empresas que comercializan sus modelos a millones de organizaciones, la prudencia estil\u00edstica es una decisi\u00f3n racional, aunque resulte culturalmente empobrecedora.<\/p>\n\n\n\n

    \u00bfHacia una nueva generaci\u00f3n de modelos m\u00e1s expresivos?<\/h2>\n\n\n\n

    Algunas se\u00f1ales son alentadoras. Modelos m\u00e1s recientes y especializados, entrenados con corpus literarios o period\u00edsticos de alta calidad, demuestran que es posible conciliar el rendimiento t\u00e9cnico con la riqueza estil\u00edstica. Startups como Mistral AI o proyectos de c\u00f3digo abierto exploran v\u00edas de entrenamiento alternativas que priorizan la diversidad ling\u00fc\u00edstica.<\/p>\n\n\n\n

    La cuesti\u00f3n, por tanto, no es si los LLM pueden escribir con estilo, sino si las grandes empresas que los desarrollan tienen suficientes incentivos econ\u00f3micos para hacerlo. Por ahora, la respuesta sigue siendo incierta.<\/p>\n\n\n\n

    Conclusi\u00f3n: recuperar el control sobre la calidad de la escritura<\/h2>\n\n\n\n

    Los modelos de OpenAI y Anthropic mejoran en muchos criterios medibles, pero la escritura se siente m\u00e1s plana, y esta observaci\u00f3n merece ser tomada en serio. El rendimiento t\u00e9cnico no garantiza la riqueza expresiva. A medida que estas herramientas se integran en nuestros flujos de trabajo, se vuelve crucial no delegar por completo la creaci\u00f3n en sistemas optimizados para agradar a todos y, por lo tanto, no sorprender a nadie.<\/p>\n\n\n\n

    La responsabilidad recae en los usuarios para preservar su singularidad estil\u00edstica<\/strong>, utilizando la IA como un amplificador de su voz en lugar de su sustituto. Y recae en los desarrolladores de modelos el no sacrificar la creatividad en el altar de la seguridad comercial.<\/p>\n\n\n\n

    \u00bfPercibe este fen\u00f3meno en su pr\u00e1ctica diaria? Comparta sus experiencias en los comentarios y explore nuestros otros recursos sobre el uso profesional de los LLM para profundizar en su comprensi\u00f3n de estas herramientas.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Los modelos de OpenAI y Anthropic est\u00e1n mejorando a nivel t\u00e9cnico, pero su estilo de escritura se siente m\u00e1s plano que antes. Se trata de una paradoja que muchos usuarios empiezan a percibir sin poder formularla siempre con claridad. Los benchmarks progresan, las capacidades de razonamiento se afinan y, sin embargo, algo parece haberse desvanecido […]<\/p>\n","protected":false},"author":13,"featured_media":3667,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[62],"tags":[],"class_list":["post-3666","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tecnologia"],"yoast_head":"\nLos modelos de OpenAI y Anthropic mejoran, pero su estilo parece m\u00e1s plano<\/title>\n<meta name=\"description\" content=\"Los modelos de OpenAI y Anthropic mejoran t\u00e9cnicamente, pero su estilo parece m\u00e1s plano. 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Es","author_link":"https:\/\/zumim.com\/es\/author\/regis-es"},"uagb_comment_info":0,"uagb_excerpt":"Los modelos de OpenAI y Anthropic est\u00e1n mejorando a nivel t\u00e9cnico, pero su estilo de escritura se siente m\u00e1s plano que antes. Se trata de una paradoja que muchos usuarios empiezan a percibir sin poder formularla siempre con claridad. Los benchmarks progresan, las capacidades de razonamiento se afinan y, sin embargo, algo parece haberse desvanecido…","_links":{"self":[{"href":"https:\/\/zumim.com\/es\/wp-json\/wp\/v2\/posts\/3666","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/zumim.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/zumim.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/zumim.com\/es\/wp-json\/wp\/v2\/users\/13"}],"replies":[{"embeddable":true,"href":"https:\/\/zumim.com\/es\/wp-json\/wp\/v2\/comments?post=3666"}],"version-history":[{"count":2,"href":"https:\/\/zumim.com\/es\/wp-json\/wp\/v2\/posts\/3666\/revisions"}],"predecessor-version":[{"id":3674,"href":"https:\/\/zumim.com\/es\/wp-json\/wp\/v2\/posts\/3666\/revisions\/3674"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/zumim.com\/es\/wp-json\/wp\/v2\/media\/3667"}],"wp:attachment":[{"href":"https:\/\/zumim.com\/es\/wp-json\/wp\/v2\/media?parent=3666"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/zumim.com\/es\/wp-json\/wp\/v2\/categories?post=3666"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/zumim.com\/es\/wp-json\/wp\/v2\/tags?post=3666"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}