{"id":374119,"date":"2026-08-04T02:48:00","date_gmt":"2026-08-04T09:48:00","guid":{"rendered":"https:\/\/cms-articles.softonic.io\/en\/?p=374119"},"modified":"2026-08-04T02:48:33","modified_gmt":"2026-08-04T09:48:33","slug":"frontier-ai-is-easy-to-use-building-it-is-still-hard","status":"publish","type":"post","link":"https:\/\/cms-articles.softonic.io\/en\/frontier-ai-is-easy-to-use-building-it-is-still-hard\/","title":{"rendered":"Frontier AI is easy to use: building it is still hard"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Frontier AI systems are a lot easier to get your hands on now. You can reach them through APIs, low-code tools, and open-weight downloads. Training a frontier model from scratch, though, is still <strong>out of reach<\/strong> for almost everyone.<\/p>\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\/1922d6a8-6db0-4d04-9f83-e6b396c28354\/1431254015\/chatgpt-logo\" 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\/\" 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\/\" target=\"_self\" rel=\"noopener noreferrer\"><\/a>\r\n  <\/div>\r\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\">The original <a href=\"https:\/\/transformers-fall-of-cybertron.en.softonic.com\/\" rel=\"noopener\">Transformer<\/a> model cost <strong>about $670<\/strong> in 2017. GPT-4 is estimated at $78 million to $100 million, and Gemini Ultra at about $191 million. And that&#8217;s before you factor in the other requirements: elite researchers, massive datasets, chips, and repeated retraining. Those numbers go a long way toward explaining why the United States produced 61 notable models in 2023, compared with 21 in the European Union and 15 in China.<\/p>\n\n<p class=\"wp-block-paragraph\">So if you want to put AI into a product or a workflow, today&#8217;s tools are <strong>worth using<\/strong>. But the limits are still there. Open-weight releases don&#8217;t change who controls the base model, real tuning takes compute, clean domain data, and specialized expertise, and most startups, hospitals, and mid-sized manufacturers are still integrating what already exists while incumbents keep benefiting from scarcity.<\/p>\n\n<p class=\"wp-block-paragraph\">That concentration is getting <strong>tighter across<\/strong> the whole stack. <a href=\"https:\/\/amazon-web-services.en.softonic.com\/\" rel=\"noopener\">Amazon Web Services<\/a> held 30% of the cloud market in Q1 2026, <a href=\"https:\/\/microsoft-azure-arc-setup.en.softonic.com\/\" rel=\"noopener\">Microsoft Azure<\/a> 20%, and Google Cloud 13%. Nearly half of global 2025 funding went to those players. Qualcomm bought Modular. d-Matrix bought Wallaroo.ai. Research stayed concentrated in the Global North, women and racial minorities were still underrepresented, and underserved regions could end up with weaker systems while a small group keeps deciding what comes next, even if access to models now runs through the cloud, APIs, and downloads.<\/p>","protected":false},"excerpt":{"rendered":"<p>Frontier AI systems are a lot easier to get your hands on now. You can reach them through APIs, low-code tools, and open-weight downloads. Training a frontier model from scratch, though, is still out of reach for almost everyone. The original Transformer model cost about $670 in 2017. GPT-4 is estimated at $78 million to &hellip; <a href=\"https:\/\/cms-articles.softonic.io\/en\/frontier-ai-is-easy-to-use-building-it-is-still-hard\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Frontier AI is easy to use: building it is still hard&#8221;<\/span><\/a><\/p>\n","protected":false},"author":9340,"featured_media":374118,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","wpcf-pageviews":0},"categories":[1015],"tags":[],"usertag":[],"vertical":[],"content-category":[6771],"class_list":["post-374119","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","content-category-ai"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/374119","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\/9340"}],"replies":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/comments?post=374119"}],"version-history":[{"count":1,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/374119\/revisions"}],"predecessor-version":[{"id":374120,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/374119\/revisions\/374120"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/media\/374118"}],"wp:attachment":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/media?parent=374119"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/categories?post=374119"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/tags?post=374119"},{"taxonomy":"usertag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/usertag?post=374119"},{"taxonomy":"vertical","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/vertical?post=374119"},{"taxonomy":"content-category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/content-category?post=374119"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}