{"id":15968,"date":"2026-11-06T10:29:15","date_gmt":"2026-11-06T09:29:15","guid":{"rendered":"https:\/\/dailyai.com\/?p=15968"},"modified":"2026-11-06T10:29:16","modified_gmt":"2026-11-06T09:29:16","slug":"anthropic-speeds-up-2x-but-metr-says-evidence-is-hidden","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2026\/11\/anthropic-speeds-up-2x-but-metr-says-evidence-is-hidden\/","title":{"rendered":"Anthropic acelera al doble, pero METR dice que la evidencia est\u00e1 oculta."},"content":{"rendered":"<p class=\"wp-block-paragraph\"><strong>Seg\u00fan una revisi\u00f3n independiente, Anthropic est\u00e1 mejorando sus modelos de IA aproximadamente al doble de velocidad que hace un a\u00f1o. El problema es que la empresa censur\u00f3 la mayor parte de la evidencia que los revisores consideraron m\u00e1s importante, por lo que el p\u00fablico debe confiar en su palabra para una conclusi\u00f3n que podr\u00eda cambiar la percepci\u00f3n del riesgo que implica el ritmo de progreso de la IA.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">La evaluaci\u00f3n provino de <a href=\"https:\/\/metr.org\/blog\/2026-11-05-anthropic-ai-rd-acceleration-assessment\/\" target=\"_blank\" rel=\"noopener\">Evaluaci\u00f3n de modelos e investigaci\u00f3n de amenazas (METR)<\/a>, Seg\u00fan se public\u00f3 el jueves, METR pas\u00f3 11 semanas en Anthropic, desde mediados de agosto hasta finales de octubre, con acceso a puntuaciones de referencia internas, m\u00e9tricas de capacitaci\u00f3n, entrevistas con el personal y encuestas. No recibi\u00f3 ning\u00fan pago del laboratorio.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">El n\u00famero<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">En el \u00edndice de capacidad interna de Anthropic (AECI), las puntuaciones de los modelos han estado aumentando a un ritmo estimado. <strong>1,9 veces<\/strong> La tasa anterior a octubre de 2025, con un intervalo de confianza del 95 % de 1,5 a 2,8 veces. En t\u00e9rminos sencillos, METR afirma que Anthropic ha logrado aproximadamente dos a\u00f1os de progreso hist\u00f3rico en el \u00faltimo a\u00f1o. La mayor\u00eda del personal de METR que trabaja en el proyecto cree que el laboratorio probablemente est\u00e9 mejorando en tareas bien definidas a un ritmo que duplica el de marzo de 2024 a octubre de 2025, aunque no les sorprender\u00eda que la cifra real se acercara m\u00e1s a 1,3 o 3 veces.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">METR afirma poder descartar con seguridad que el crecimiento acelerado de la capacidad de procesamiento para el entrenamiento sea la causa. Las entrevistas y encuestas apuntan, en cambio, al uso intensivo de herramientas de IA para ayudar a los investigadores a escribir c\u00f3digo, realizar experimentos y probar nuevas ideas. Las encuestas de Slack realizadas al personal sobre la aceleraci\u00f3n percibida alcanzaron aproximadamente 12 veces para el \u00faltimo modelo interno en octubre; si bien METR subraya que esta evidencia es preliminar, es consistente con una mejora significativa. Se inform\u00f3 a los revisores que la IA a\u00fan no est\u00e1 realizando contribuciones altamente significativas y totalmente aut\u00f3nomas a las etapas m\u00e1s dif\u00edciles del entrenamiento, aunque ya se observan indicios de que esto est\u00e1 ocurriendo.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Lo que no puedes ver<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Anthropic ten\u00eda el derecho unilateral de censurar informaci\u00f3n no p\u00fablica del informe. METR afirma que la empresa elimin\u00f3 la mayor parte de la evidencia que el equipo consider\u00f3 m\u00e1s relevante para sus conclusiones sobre riesgos, incluyendo estimaciones detalladas de aceleraci\u00f3n por etapa del oleoducto, an\u00e1lisis de cuellos de botella y pron\u00f3sticos para modelos futuros. Anthropic declar\u00f3 que los recortes ten\u00edan como objetivo eliminar informaci\u00f3n confidencial que pudiera beneficiar a desarrolladores rivales.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">METR es tajante respecto al resultado: el p\u00fablico no puede juzgar las pruebas por s\u00ed mismo ni cotejarlas con otras fuentes. \u201cEste informe no logra la \u2018transparencia sobre las pruebas\u2019\u201d, escribi\u00f3. Los lectores deben confiar en el criterio de METR m\u00e1s de lo que el grupo considera ideal para cuestiones de esta importancia. <a href=\"https:\/\/apnews.com\/article\/anthropic-metr-ai-claude-acceleration-9cf8c590ffc1abdb489179bdccc69c23\" target=\"_blank\" rel=\"noopener\">Noticias de AP<\/a> Se observ\u00f3 la misma tensi\u00f3n: una advertencia sobre un progreso m\u00e1s r\u00e1pido, vinculado a material que la mayor\u00eda de la gente no puede inspeccionar.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\u00bfPor qu\u00e9 se cuestiona la afirmaci\u00f3n sobre el ritmo?<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Los revisores enumeran posibles errores en ambos sentidos. La aceleraci\u00f3n podr\u00eda limitarse a tareas sencillas y autocalificables, y exagerar el impacto en situaciones complejas. El crecimiento inicial del AECI de Anthropic fue m\u00e1s lento que el del sector en general, lo que podr\u00eda inflar la comparaci\u00f3n de \u201c2x\u201d. Por otro lado, m\u00e9tricas internas confidenciales sugieren que la aceleraci\u00f3n podr\u00eda ser superior a 2x y seguir en aumento, y METR no detect\u00f3 obst\u00e1culos claros que impidieran mayores aceleraciones durante el pr\u00f3ximo a\u00f1o.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Eso importa porque la auto-mejora recursiva \u2014sistemas de IA que ayudan significativamente a construir la pr\u00f3xima generaci\u00f3n m\u00e1s r\u00e1pida\u2014 es el escenario que preocupa a los investigadores de seguridad, ya que podr\u00eda comprimir los plazos. La estimaci\u00f3n de METR es que la mayor\u00eda (quiz\u00e1s alrededor del 80%) de la <em>actual<\/em> La aceleraci\u00f3n se debe a la asistencia de la IA, con mayor incertidumbre sobre los factores que la impulsar\u00e1n a finales de 2025. El cofundador Sam McCandlish dijo que Anthropic planea su propio an\u00e1lisis p\u00fablico sobre la rapidez con la que avanza el progreso dentro de la empresa., <a href=\"https:\/\/www.theverge.com\/ai-artificial-intelligence\/1028046\/an-anthropic-risk-assessment-from-ai-safety-organization-metr-is-out\" target=\"_blank\" rel=\"noopener\">Seg\u00fan The Verge,<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Por qu\u00e9 es importante<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Si los laboratorios de vanguardia ya est\u00e1n obteniendo un gran aumento de productividad gracias a sus propios modelos, los organismos de control externos necesitan pruebas que el p\u00fablico pueda verificar, no solo cifras que acaparen los titulares. Duplicar la tasa de progreso cambia la cantidad de tiempo que las sociedades tienen para probar, regular y adaptarse. Ocultar las mediciones subyacentes convierte una evaluaci\u00f3n independiente en algo m\u00e1s parecido a la opini\u00f3n de un intermediario de confianza, lo cual es \u00fatil, pero no es lo mismo que una verificaci\u00f3n abierta. Para los trabajadores que ya ven c\u00f3mo la IA transforma la producci\u00f3n diaria: <a href=\"https:\/\/dailyai.com\/es\/2026\/11\/ai-was-meant-to-save-time-its-users-are-working-longer-days\/\" target=\"_blank\" rel=\"noopener\">incluyendo d\u00edas m\u00e1s largos en lugar de d\u00edas m\u00e1s cortos.<\/a> \u2014 La cuesti\u00f3n ya no es si las herramientas ayudan, sino con qu\u00e9 rapidez se generan compuestos \u00fatiles dentro de los laboratorios que las desarrollan, y qui\u00e9n tiene acceso a las cifras.<\/p>","protected":false},"excerpt":{"rendered":"<p>METR finds Anthropic&#8217;s models improving about twice as fast as before, largely with AI help. Anthropic redacted most of the evidence that backed the claim.<\/p>","protected":false},"author":16,"featured_media":15969,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[87],"tags":[],"class_list":["post-15968","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-opinions"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Anthropic AI Progress Doubles, Evidence Mostly Redacted<\/title>\n<meta name=\"description\" content=\"METR says Anthropic is improving AI ~2x faster, mostly via AI tools \u2014 but Anthropic redacted most of the key evidence.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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