{"id":13401,"date":"2024-07-14T14:53:31","date_gmt":"2024-07-14T14:53:31","guid":{"rendered":"https:\/\/dailyai.com\/?p=13401"},"modified":"2024-07-14T14:53:31","modified_gmt":"2024-07-14T14:53:31","slug":"ai-model-performance-is-it-reasoning-or-simply-reciting","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2024\/07\/ai-model-performance-is-it-reasoning-or-simply-reciting\/","title":{"rendered":"Rendimiento de los modelos de IA: \u00bfRazona o simplemente recita?"},"content":{"rendered":"<p><strong>Cuando ChatGPT le da la respuesta correcta a su pregunta, \u00bfrazona la petici\u00f3n o simplemente recuerda la respuesta a partir de sus datos de entrenamiento?<\/strong><\/p>\n<p>Los investigadores del Laboratorio de Ciencias de la Computaci\u00f3n e Inteligencia Artificial (CSAIL) del MIT dise\u00f1aron una serie de pruebas para comprobar si los modelos de IA \"piensan\" o simplemente tienen buena memoria.<\/p>\n<p>Cuando le pides a un modelo de IA que resuelva un problema matem\u00e1tico como \"\u00bfCu\u00e1nto es 27+62?\", responde r\u00e1pidamente con la respuesta correcta: 89. C\u00f3mo podemos saber si entiende la aritm\u00e9tica subyacente o simplemente vio el problema en sus datos de entrenamiento?<\/p>\n<p>En <a href=\"https:\/\/arxiv.org\/pdf\/2307.02477\" target=\"_blank\" rel=\"noopener\">su papel<\/a>, los investigadores probaron GPT-4, GPT-3.5 Turbo, Claude 1.3 y PaLM2 para ver si pod\u00edan \"generalizar no s\u00f3lo a instancias no vistas de tareas conocidas, sino a tareas nuevas\".<\/p>\n<p>Dise\u00f1aron una serie de 11 tareas que difer\u00edan ligeramente de las tareas est\u00e1ndar en las que los LLM suelen rendir bien.<\/p>\n<p>Los LLM deber\u00edan rendir igual de bien con las \"tareas contrafactuales\" si emplean procedimientos de resoluci\u00f3n de tareas generales y transferibles.<\/p>\n<p>Si un LLM \"entiende\" de matem\u00e1ticas, entonces deber\u00eda dar la respuesta correcta a un problema matem\u00e1tico en base-10 y en la poco utilizada base-9, por ejemplo.<\/p>\n<p>He aqu\u00ed algunos ejemplos de las tareas y el rendimiento de GPT-4.<\/p>\n<figure id=\"attachment_13403\" aria-describedby=\"caption-attachment-13403\" style=\"width: 1530px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-13403 size-full\" src=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Counterfactual-task-performance.png\" alt=\"\" width=\"1530\" height=\"1210\" srcset=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Counterfactual-task-performance.png 1530w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Counterfactual-task-performance-300x237.png 300w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Counterfactual-task-performance-1024x810.png 1024w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Counterfactual-task-performance-768x607.png 768w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Counterfactual-task-performance-15x12.png 15w, https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/Counterfactual-task-performance-60x47.png 60w\" sizes=\"auto, (max-width: 1530px) 100vw, 1530px\" \/><figcaption id=\"caption-attachment-13403\" class=\"wp-caption-text\">Rendimiento de GPT-4 con tareas est\u00e1ndar por defecto (Azul) y tareas contrafactuales ligeramente alteradas (Naranja). Aqu\u00ed se muestran ejemplos de las tareas y las respuestas correctas. Fuente: arXiv<\/figcaption><\/figure>\n<p>El rendimiento de la GPT-4 en pruebas est\u00e1ndar (l\u00ednea azul) es bueno, pero sus capacidades matem\u00e1ticas, de razonamiento l\u00f3gico y espacial, entre otras (l\u00ednea naranja), se degradan significativamente cuando se altera ligeramente la tarea.<\/p>\n<p>Los dem\u00e1s modelos mostraron una degradaci\u00f3n similar, con GPT-4 a la cabeza.<\/p>\n<p>A pesar de la degradaci\u00f3n, el rendimiento en las tareas contraf\u00e1cticas segu\u00eda siendo mejor que el azar. Los modelos de IA intentan razonar estas tareas, pero no lo hacen muy bien.<\/p>\n<p>Los resultados muestran que el impresionante rendimiento de los modelos de IA en tareas como los ex\u00e1menes universitarios se basa en un excelente recuerdo de los datos de entrenamiento, no en el razonamiento. Esto pone a\u00fan m\u00e1s de relieve que los modelos de IA no pueden generalizarse a tareas no vistas,<\/p>\n<p>Zhaofeng Wu, estudiante de doctorado en Ingenier\u00eda El\u00e9ctrica e Inform\u00e1tica del MIT, afiliado al CSAIL y autor principal del art\u00edculo, afirma: \"Hemos descubierto un aspecto fascinante de los grandes modelos ling\u00fc\u00edsticos: destacan en escenarios familiares, casi como un camino trillado, pero tienen dificultades cuando el terreno se vuelve desconocido. Este dato es crucial para mejorar la adaptabilidad de estos modelos y ampliar sus horizontes de aplicaci\u00f3n\".<\/p>\n<p>Vimos una demostraci\u00f3n similar de esta incapacidad para generalizar cuando exploramos lo malos que son los modelos de IA en <a href=\"https:\/\/dailyai.com\/es\/2024\/06\/llms-are-really-bad-at-solving-simple-river-crossing-puzzles\/\">resolver un rompecabezas simplificado para cruzar un r\u00edo.<\/a><\/p>\n<p>Los investigadores concluyeron que, cuando los desarrolladores analizan sus modelos, deben \"considerar la capacidad abstracta de la tarea como algo independiente del rendimiento observado en la tarea.\"<\/p>\n<p>El enfoque \"entrenar para probar\" puede hacer que un modelo ascienda en los puntos de referencia, pero no ofrece una medida real de c\u00f3mo se comportar\u00e1 el modelo cuando se le presente una nueva tarea para razonar.<\/p>\n<p>Los investigadores sugieren que parte del problema radica en que estos modelos s\u00f3lo se entrenan con texto de forma superficial.<\/p>\n<p>Si los LLM est\u00e1n expuestos a m\u00e1s datos contextualizados del mundo real y a una representaci\u00f3n sem\u00e1ntica, podr\u00edan ser capaces de generalizar cuando se les presenten variaciones de la tarea.<\/p>","protected":false},"excerpt":{"rendered":"<p>Cuando ChatGPT te da la respuesta correcta a tu pregunta, \u00bfrazona la petici\u00f3n o simplemente recuerda la respuesta a partir de sus datos de entrenamiento? Los investigadores del Laboratorio de Ciencias de la Computaci\u00f3n e Inteligencia Artificial (CSAIL) del MIT dise\u00f1aron una serie de pruebas para comprobar si los modelos de IA \"piensan\" o simplemente tienen buena memoria. Cuando se pide a un modelo de IA que resuelva un problema matem\u00e1tico como \"\u00bfCu\u00e1nto es 27+62?\", responde r\u00e1pidamente con la respuesta correcta: 89. \u00bfC\u00f3mo podr\u00edamos saber si entiende la aritm\u00e9tica subyacente o simplemente vio el problema en sus datos de entrenamiento? En su art\u00edculo, los investigadores ponen a prueba el GPT-4,<\/p>","protected":false},"author":6,"featured_media":13404,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[118],"class_list":["post-13401","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-llms"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI model performance: Is it reasoning or simply reciting? | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/es\/2024\/07\/ai-model-performance-is-it-reasoning-or-simply-reciting\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI model performance: Is it reasoning or simply reciting? | DailyAI\" \/>\n<meta property=\"og:description\" content=\"When ChatGPT gives you the right answer to your prompt, does it reason through the request or simply remember the answer from its training data? MIT&#8217;s Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers designed a series of tests to see if AI models \u201cthink\u201d or just have good memories. When you prompt an AI model to solve a math problem like \u201cWhat is 27+62?\u201d it comes back quickly with the correct answer: 89. How could we tell if it understands the underlying arithmetic or simply saw the problem in its training data? In their paper, the researchers tested GPT-4,\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/es\/2024\/07\/ai-model-performance-is-it-reasoning-or-simply-reciting\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2024-07-14T14:53:31+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/AI-reasoning.webp\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/webp\" \/>\n<meta name=\"author\" content=\"Eugene van der Watt\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:site\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:label1\" content=\"Escrito por\" \/>\n\t<meta name=\"twitter:data1\" content=\"Eugene van der Watt\" \/>\n\t<meta name=\"twitter:label2\" content=\"Tiempo de lectura\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"NewsArticle\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/07\\\/ai-model-performance-is-it-reasoning-or-simply-reciting\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/07\\\/ai-model-performance-is-it-reasoning-or-simply-reciting\\\/\"},\"author\":{\"name\":\"Eugene van der Watt\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/person\\\/7ce525c6d0c79838b7cc7cde96993cfa\"},\"headline\":\"AI model performance: Is it reasoning or simply reciting?\",\"datePublished\":\"2024-07-14T14:53:31+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/07\\\/ai-model-performance-is-it-reasoning-or-simply-reciting\\\/\"},\"wordCount\":532,\"publisher\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/07\\\/ai-model-performance-is-it-reasoning-or-simply-reciting\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2024\\\/07\\\/AI-reasoning.webp\",\"keywords\":[\"LLMS\"],\"articleSection\":[\"Industry\"],\"inLanguage\":\"es\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/07\\\/ai-model-performance-is-it-reasoning-or-simply-reciting\\\/\",\"url\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/07\\\/ai-model-performance-is-it-reasoning-or-simply-reciting\\\/\",\"name\":\"AI model performance: Is it reasoning or simply reciting? | DailyAI\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/07\\\/ai-model-performance-is-it-reasoning-or-simply-reciting\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/07\\\/ai-model-performance-is-it-reasoning-or-simply-reciting\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2024\\\/07\\\/AI-reasoning.webp\",\"datePublished\":\"2024-07-14T14:53:31+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/07\\\/ai-model-performance-is-it-reasoning-or-simply-reciting\\\/#breadcrumb\"},\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/dailyai.com\\\/2024\\\/07\\\/ai-model-performance-is-it-reasoning-or-simply-reciting\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/07\\\/ai-model-performance-is-it-reasoning-or-simply-reciting\\\/#primaryimage\",\"url\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2024\\\/07\\\/AI-reasoning.webp\",\"contentUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2024\\\/07\\\/AI-reasoning.webp\",\"width\":1792,\"height\":1024},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2024\\\/07\\\/ai-model-performance-is-it-reasoning-or-simply-reciting\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/dailyai.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"AI model performance: Is it reasoning or simply reciting?\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#website\",\"url\":\"https:\\\/\\\/dailyai.com\\\/\",\"name\":\"DailyAI\",\"description\":\"Your Daily Dose of AI News\",\"publisher\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/dailyai.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"es\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#organization\",\"name\":\"DailyAI\",\"url\":\"https:\\\/\\\/dailyai.com\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/06\\\/Daily-Ai_TL_colour.png\",\"contentUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/06\\\/Daily-Ai_TL_colour.png\",\"width\":4501,\"height\":934,\"caption\":\"DailyAI\"},\"image\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/x.com\\\/DailyAIOfficial\",\"https:\\\/\\\/www.linkedin.com\\\/company\\\/dailyaiofficial\\\/\",\"https:\\\/\\\/www.youtube.com\\\/@DailyAIOfficial\"]},{\"@type\":\"Person\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/person\\\/7ce525c6d0c79838b7cc7cde96993cfa\",\"name\":\"Eugene van der Watt\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/07\\\/Eugine_Profile_Picture-96x96.png\",\"url\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/07\\\/Eugine_Profile_Picture-96x96.png\",\"contentUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/07\\\/Eugine_Profile_Picture-96x96.png\",\"caption\":\"Eugene van der Watt\"},\"description\":\"Eugene comes from an electronic engineering background and loves all things tech. When he takes a break from consuming AI news you'll find him at the snooker table.\",\"sameAs\":[\"www.linkedin.com\\\/in\\\/eugene-van-der-watt-16828119\"],\"url\":\"https:\\\/\\\/dailyai.com\\\/es\\\/author\\\/eugene\\\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Rendimiento de los modelos de IA: \u00bfRazona o simplemente recita? | DailyAI","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/dailyai.com\/es\/2024\/07\/ai-model-performance-is-it-reasoning-or-simply-reciting\/","og_locale":"es_ES","og_type":"article","og_title":"AI model performance: Is it reasoning or simply reciting? | DailyAI","og_description":"When ChatGPT gives you the right answer to your prompt, does it reason through the request or simply remember the answer from its training data? MIT&#8217;s Computer Science and Artificial Intelligence Laboratory (CSAIL) researchers designed a series of tests to see if AI models \u201cthink\u201d or just have good memories. When you prompt an AI model to solve a math problem like \u201cWhat is 27+62?\u201d it comes back quickly with the correct answer: 89. How could we tell if it understands the underlying arithmetic or simply saw the problem in its training data? In their paper, the researchers tested GPT-4,","og_url":"https:\/\/dailyai.com\/es\/2024\/07\/ai-model-performance-is-it-reasoning-or-simply-reciting\/","og_site_name":"DailyAI","article_published_time":"2024-07-14T14:53:31+00:00","og_image":[{"width":1792,"height":1024,"url":"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/AI-reasoning.webp","type":"image\/webp"}],"author":"Eugene van der Watt","twitter_card":"summary_large_image","twitter_creator":"@DailyAIOfficial","twitter_site":"@DailyAIOfficial","twitter_misc":{"Escrito por":"Eugene van der Watt","Tiempo de lectura":"3 minutos"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"NewsArticle","@id":"https:\/\/dailyai.com\/2024\/07\/ai-model-performance-is-it-reasoning-or-simply-reciting\/#article","isPartOf":{"@id":"https:\/\/dailyai.com\/2024\/07\/ai-model-performance-is-it-reasoning-or-simply-reciting\/"},"author":{"name":"Eugene van der Watt","@id":"https:\/\/dailyai.com\/#\/schema\/person\/7ce525c6d0c79838b7cc7cde96993cfa"},"headline":"AI model performance: Is it reasoning or simply reciting?","datePublished":"2024-07-14T14:53:31+00:00","mainEntityOfPage":{"@id":"https:\/\/dailyai.com\/2024\/07\/ai-model-performance-is-it-reasoning-or-simply-reciting\/"},"wordCount":532,"publisher":{"@id":"https:\/\/dailyai.com\/#organization"},"image":{"@id":"https:\/\/dailyai.com\/2024\/07\/ai-model-performance-is-it-reasoning-or-simply-reciting\/#primaryimage"},"thumbnailUrl":"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/AI-reasoning.webp","keywords":["LLMS"],"articleSection":["Industry"],"inLanguage":"es"},{"@type":"WebPage","@id":"https:\/\/dailyai.com\/2024\/07\/ai-model-performance-is-it-reasoning-or-simply-reciting\/","url":"https:\/\/dailyai.com\/2024\/07\/ai-model-performance-is-it-reasoning-or-simply-reciting\/","name":"Rendimiento de los modelos de IA: \u00bfRazona o simplemente recita? | DailyAI","isPartOf":{"@id":"https:\/\/dailyai.com\/#website"},"primaryImageOfPage":{"@id":"https:\/\/dailyai.com\/2024\/07\/ai-model-performance-is-it-reasoning-or-simply-reciting\/#primaryimage"},"image":{"@id":"https:\/\/dailyai.com\/2024\/07\/ai-model-performance-is-it-reasoning-or-simply-reciting\/#primaryimage"},"thumbnailUrl":"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/AI-reasoning.webp","datePublished":"2024-07-14T14:53:31+00:00","breadcrumb":{"@id":"https:\/\/dailyai.com\/2024\/07\/ai-model-performance-is-it-reasoning-or-simply-reciting\/#breadcrumb"},"inLanguage":"es","potentialAction":[{"@type":"ReadAction","target":["https:\/\/dailyai.com\/2024\/07\/ai-model-performance-is-it-reasoning-or-simply-reciting\/"]}]},{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/dailyai.com\/2024\/07\/ai-model-performance-is-it-reasoning-or-simply-reciting\/#primaryimage","url":"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/AI-reasoning.webp","contentUrl":"https:\/\/dailyai.com\/wp-content\/uploads\/2024\/07\/AI-reasoning.webp","width":1792,"height":1024},{"@type":"BreadcrumbList","@id":"https:\/\/dailyai.com\/2024\/07\/ai-model-performance-is-it-reasoning-or-simply-reciting\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/dailyai.com\/"},{"@type":"ListItem","position":2,"name":"AI model performance: Is it reasoning or simply reciting?"}]},{"@type":"WebSite","@id":"https:\/\/dailyai.com\/#website","url":"https:\/\/dailyai.com\/","name":"DailyAI","description":"Su dosis diaria de noticias sobre IA","publisher":{"@id":"https:\/\/dailyai.com\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/dailyai.com\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"es"},{"@type":"Organization","@id":"https:\/\/dailyai.com\/#organization","name":"DailyAI","url":"https:\/\/dailyai.com\/","logo":{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/dailyai.com\/#\/schema\/logo\/image\/","url":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/06\/Daily-Ai_TL_colour.png","contentUrl":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/06\/Daily-Ai_TL_colour.png","width":4501,"height":934,"caption":"DailyAI"},"image":{"@id":"https:\/\/dailyai.com\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/x.com\/DailyAIOfficial","https:\/\/www.linkedin.com\/company\/dailyaiofficial\/","https:\/\/www.youtube.com\/@DailyAIOfficial"]},{"@type":"Person","@id":"https:\/\/dailyai.com\/#\/schema\/person\/7ce525c6d0c79838b7cc7cde96993cfa","name":"Eugene van der Watt","image":{"@type":"ImageObject","inLanguage":"es","@id":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/07\/Eugine_Profile_Picture-96x96.png","url":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/07\/Eugine_Profile_Picture-96x96.png","contentUrl":"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/07\/Eugine_Profile_Picture-96x96.png","caption":"Eugene van der Watt"},"description":"Eugene es ingeniero electr\u00f3nico y le encanta todo lo relacionado con la tecnolog\u00eda. Cuando descansa de consumir noticias sobre IA, lo encontrar\u00e1 jugando al billar.","sameAs":["www.linkedin.com\/in\/eugene-van-der-watt-16828119"],"url":"https:\/\/dailyai.com\/es\/author\/eugene\/"}]}},"_links":{"self":[{"href":"https:\/\/dailyai.com\/es\/wp-json\/wp\/v2\/posts\/13401","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/dailyai.com\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/dailyai.com\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/dailyai.com\/es\/wp-json\/wp\/v2\/users\/6"}],"replies":[{"embeddable":true,"href":"https:\/\/dailyai.com\/es\/wp-json\/wp\/v2\/comments?post=13401"}],"version-history":[{"count":3,"href":"https:\/\/dailyai.com\/es\/wp-json\/wp\/v2\/posts\/13401\/revisions"}],"predecessor-version":[{"id":13406,"href":"https:\/\/dailyai.com\/es\/wp-json\/wp\/v2\/posts\/13401\/revisions\/13406"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dailyai.com\/es\/wp-json\/wp\/v2\/media\/13404"}],"wp:attachment":[{"href":"https:\/\/dailyai.com\/es\/wp-json\/wp\/v2\/media?parent=13401"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/dailyai.com\/es\/wp-json\/wp\/v2\/categories?post=13401"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/dailyai.com\/es\/wp-json\/wp\/v2\/tags?post=13401"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}