{"id":285737,"date":"2024-07-23T09:33:45","date_gmt":"2024-07-23T07:33:45","guid":{"rendered":"https:\/\/sftarticles.wpenginepowered.com\/es\/?p=336492"},"modified":"2025-07-01T16:08:57","modified_gmt":"2025-07-01T23:08:57","slug":"ai-knows-how-to-rhyme-but-not-how-to-add-the-great-mathematical-problem-of-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/cms-articles.softonic.io\/en\/ai-knows-how-to-rhyme-but-not-how-to-add-the-great-mathematical-problem-of-artificial-intelligence\/","title":{"rendered":"AI knows how to rhyme, but not how to add: the great mathematical problem of artificial intelligence"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Chatbots like ChatGPT by Open AI can write poetry, summarize books, and answer questions, often with human-like fluency. The curious thing is that, while they are complex and advanced models, and can perform mathematical calculations based on what they have learned, the results can vary and are often incorrect. How? Let&#8217;s see.<\/p>\n\n\n<div class=\"sc-card-program\">\r\n  <div class=\"sc-card-program__body\">\r\n    <div class=\"sc-card-program__row clearfix\">\r\n      <div class=\"sc-card-program__col-logo\">\r\n        <img decoding=\"async\" class=\"sc-card-program__img\" alt=\"ChatGPT\" src=\"https:\/\/images.sftcdn.net\/images\/t_app-icon-s\/p\/47ef1772-2a82-4750-b97a-354b13dbd112\/3647786732\/chatgpt-ChatGPT-icon.png\" width=\"100px\" height=\"100px\">\r\n      <\/div>\r\n      <div class=\"sc-card-program__col-title\">\r\n        <span class=\"sc-card-program__title\">ChatGPT<\/span>\r\n        <a class=\"sc-card-program__button sc-card-program-internal\" href=\"https:\/\/chatgpt.en.softonic.com\/iphone\" target=\"_self\" rel=\"noopener noreferrer\">DOWNLOAD<\/a>\r\n      <\/div>\r\n      <div class=\"sc-card-program__col-rating\">\r\n        <svg class=\"rating-score__content\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.1\" x=\"0\" y=\"0\" viewbox=\"0 0 50 50\" enable-background=\"new 0 0 50 50\" xml:space=\"preserve\"><path class=\"rating-score__background rating-score--good\" fill=\"none\" stroke-width=\"6\" stroke-miterlimit=\"10\" d=\"M40 40c8.3-8.3 8.3-21.7 0-30s-21.7-8.3-30 0 -8.3 21.7 0 30\"><\/path><path class=\"rating-score__value rating-score__value--0\" fill=\"none\" stroke-width=\"6\" stroke-dashoffset=\"0\" stroke-miterlimit=\"10\" d=\"M40 40c8.3-8.3 8.3-21.7 0-30s-21.7-8.3-30 0 -8.3 21.7 0 30\"><\/path><text class=\"rating-score__number\" content=\"\" text-anchor=\"middle\" transform=\"matrix(1 0 0 1 25 31.0837)\" data-auto=\"app-user-score\"><\/text><\/svg>\r\n      <\/div>\r\n    <\/div>\r\n    <div class=\"sc-card-program__row\">\r\n      <span class=\"sc-card-program__description\"><\/span>\r\n    <\/div>\r\n    <div class=\"sc-card-program__row\">\r\n      <img decoding=\"async\" class=\"sc-card-program__bigpic\" src=\"\" onerror=\"this.style.display='none'\">\r\n    <\/div>\r\n    <a class=\"sc-card-program__link track-link sc-card-program-internal\" href=\"https:\/\/chatgpt.en.softonic.com\/iphone\" target=\"_self\" rel=\"noopener noreferrer\"><\/a>\r\n  <\/div>\r\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Chatbots are designed to determine probabilities, not to make rule-based calculations<\/strong>. Probability is not accuracy, and language is more flexible and forgiving than mathematics.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">&#8216;Artificial intelligence chatbots struggle with math because they were never designed for it,&#8217; says Kristian Hammond, a computer science professor and artificial intelligence researcher at Northwestern University <a href=\"https:\/\/www.nytimes.com\/2024\/07\/23\/technology\/ai-chatbots-chatgpt-math.html\" target=\"_blank\" rel=\"noopener nofollow\" title=\"in an interview for the New York Times\">in an interview for the New York Times<\/a>.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As the American newspaper says, it seems that the smartest computer scientists in the world have created<strong> an artificial intelligence that is more of a poet than a mathematician.<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-rich is-provider-twitter wp-block-embed-twitter\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"twitter-tweet\" data-width=\"550\" data-dnt=\"true\"><p lang=\"en\" dir=\"ltr\"><a href=\"https:\/\/twitter.com\/hashtag\/ArtificialIntelligence?src=hash&amp;ref_src=twsrc%5Etfw\">#ArtificialIntelligence<\/a> Artificial Intelligence Has a Math Problem <a href=\"https:\/\/t.co\/zrXT30wMJr\">https:\/\/t.co\/zrXT30wMJr<\/a><\/p>&mdash; Fabien Pr\u00e9vots (@fabienprevots) <a href=\"https:\/\/twitter.com\/fabienprevots\/status\/1815644611278512208?ref_src=twsrc%5Etfw\">July 23, 2024<\/a><\/blockquote><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script>\n<\/div><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\">AI is a poet and comedian, but it can&#8217;t add and divide accurately<\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">At first glance, this represents a break from the past of computing. Since the first computers appeared in the 1940s, a good summarized definition of computing has been &#8216;mathematics on steroids.&#8217;<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Computers have been tireless, fast, and accurate calculating machines.<\/strong> For a long time, computers have been exceptional at crunching numbers, far surpassing human performance.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Traditionally, computers were programmed to follow step-by-step rules and retrieve information from structured databases. They were powerful but fragile. That&#8217;s why previous efforts in the field of artificial intelligence hit a wall.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Math problems with GPT-4o\" width=\"840\" height=\"473\" src=\"https:\/\/www.youtube.com\/embed\/_nSmkyDNulk?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">However, more than a decade ago, a different approach emerged and began to produce surprising advances. <strong>The underlying technology, called neural network, is based on the human brain.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">This type of artificial intelligence is not programmed with rigid rules, but rather learns by analyzing large amounts of data<strong>. It generates language based on all the information it has absorbed<\/strong>, predicting which word or phrase is most likely to come next,<strong> just like humans do.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Sometimes, <strong>artificial intelligence chatbots have struggled with simple arithmetic and mathematical problems<\/strong> that require multiple steps to reach a solution, something recently documented by some technology reviewers.<\/p>\n\n\n<div class=\"sc-card-program\">\r\n  <div class=\"sc-card-program__body\">\r\n    <div class=\"sc-card-program__row clearfix\">\r\n      <div class=\"sc-card-program__col-logo\">\r\n        <img decoding=\"async\" class=\"sc-card-program__img\" alt=\"ChatGPT\" src=\"https:\/\/images.sftcdn.net\/images\/t_app-icon-s\/p\/47ef1772-2a82-4750-b97a-354b13dbd112\/3647786732\/chatgpt-ChatGPT-icon.png\" width=\"100px\" height=\"100px\">\r\n      <\/div>\r\n      <div class=\"sc-card-program__col-title\">\r\n        <span class=\"sc-card-program__title\">ChatGPT<\/span>\r\n        <a class=\"sc-card-program__button sc-card-program-internal\" href=\"https:\/\/chatgpt.en.softonic.com\/iphone\" target=\"_self\" rel=\"noopener noreferrer\">DOWNLOAD<\/a>\r\n      <\/div>\r\n      <div class=\"sc-card-program__col-rating\">\r\n        <svg class=\"rating-score__content\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" version=\"1.1\" x=\"0\" y=\"0\" viewbox=\"0 0 50 50\" enable-background=\"new 0 0 50 50\" xml:space=\"preserve\"><path class=\"rating-score__background rating-score--good\" fill=\"none\" stroke-width=\"6\" stroke-miterlimit=\"10\" d=\"M40 40c8.3-8.3 8.3-21.7 0-30s-21.7-8.3-30 0 -8.3 21.7 0 30\"><\/path><path class=\"rating-score__value rating-score__value--0\" fill=\"none\" stroke-width=\"6\" stroke-dashoffset=\"0\" stroke-miterlimit=\"10\" d=\"M40 40c8.3-8.3 8.3-21.7 0-30s-21.7-8.3-30 0 -8.3 21.7 0 30\"><\/path><text class=\"rating-score__number\" content=\"\" text-anchor=\"middle\" transform=\"matrix(1 0 0 1 25 31.0837)\" data-auto=\"app-user-score\"><\/text><\/svg>\r\n      <\/div>\r\n    <\/div>\r\n    <div class=\"sc-card-program__row\">\r\n      <span class=\"sc-card-program__description\"><\/span>\r\n    <\/div>\r\n    <div class=\"sc-card-program__row\">\r\n      <img decoding=\"async\" class=\"sc-card-program__bigpic\" src=\"\" onerror=\"this.style.display='none'\">\r\n    <\/div>\r\n    <a class=\"sc-card-program__link track-link sc-card-program-internal\" href=\"https:\/\/chatgpt.en.softonic.com\/iphone\" target=\"_self\" rel=\"noopener noreferrer\"><\/a>\r\n  <\/div>\r\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">According to OpenAI, their new version of ChatGPT <strong>achieved an accuracy of nearly 64% on a public database of thousands of problems<\/strong> that required visual perception and mathematical reasoning. This figure is a slight improvement over the 58% of the previous version.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">It seems like a life lesson for students, worth remembering long after they have forgotten the Pythagorean theorem: <strong>don&#8217;t believe everything an artificial intelligence program tells you.<\/strong> Don&#8217;t trust it too much.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Chatbots like ChatGPT by Open AI can write poetry, summarize books, and answer questions, often with human-like fluency. The curious thing is that, while they are complex and advanced models, and can perform mathematical calculations based on what they have learned, the results can vary and are often incorrect. How? Let&#8217;s see. Chatbots are designed &hellip; <a href=\"https:\/\/cms-articles.softonic.io\/en\/ai-knows-how-to-rhyme-but-not-how-to-add-the-great-mathematical-problem-of-artificial-intelligence\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;AI knows how to rhyme, but not how to add: the great mathematical problem of artificial intelligence&#8221;<\/span><\/a><\/p>\n","protected":false},"author":9265,"featured_media":285740,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","wpcf-pageviews":1},"categories":[1015],"tags":[3885],"usertag":[],"vertical":[],"content-category":[],"class_list":["post-285737","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-inteligencia-artificial"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/285737","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/users\/9265"}],"replies":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/comments?post=285737"}],"version-history":[{"count":1,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/285737\/revisions"}],"predecessor-version":[{"id":312146,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/285737\/revisions\/312146"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/media\/285740"}],"wp:attachment":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/media?parent=285737"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/categories?post=285737"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/tags?post=285737"},{"taxonomy":"usertag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/usertag?post=285737"},{"taxonomy":"vertical","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/vertical?post=285737"},{"taxonomy":"content-category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/content-category?post=285737"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}