{"id":302629,"date":"2025-05-09T00:20:00","date_gmt":"2025-05-09T07:20:00","guid":{"rendered":"https:\/\/sftarticles.wpenginepowered.com\/es\/?p=354516"},"modified":"2025-07-01T14:41:34","modified_gmt":"2025-07-01T21:41:34","slug":"the-latest-models-of-chatgpt-continue-to-amaze-is-it-the-end-of-ai","status":"publish","type":"post","link":"https:\/\/cms-articles.softonic.io\/en\/the-latest-models-of-chatgpt-continue-to-amaze-is-it-the-end-of-ai\/","title":{"rendered":"The latest models of ChatGPT continue to amaze: is it the end of AI?"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Artificial intelligence (AI) continues to show unprecedented advances in its capabilities and reasoning, although these progressions have also been accompanied by a disturbing phenomenon: the increase in hallucination rates in some models.<\/p>\n\n\n<p class=\"wp-block-paragraph\">In particular,<strong> the latest models from OpenAI, such as the o3<\/strong> and the o4-mini<strong>, have recorded significantly high hallucination rates<\/strong>, which sharply contrasts with the developments of competitors like Google, whose Gemini models maintain rates below 1%.<\/p>\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=\"ja\" dir=\"ltr\">\u307f\u3066\u30fc\u3001\u3053\u306e Gemini \u306e\u30cf\u30eb\u30b7\u30cd\u30fc\u30b7\u30e7\u30f3\u7387\u3002\u751f\u6210 AI \u306f\u5618\u3064\u304f\u304b\u3089\u306a\u30fc\u3068\u60a9\u3093\u3067\u308b\u305d\u3053\u306e\u3042\u306a\u305f\u3001Gemini \u3092\u691c\u8a0e\u3057\u3066\u307f\u3066\u306f\uff1fw<a href=\"https:\/\/t.co\/KeIPCCMgwX\">https:\/\/t.co\/KeIPCCMgwX<\/a> <a href=\"https:\/\/t.co\/ohTlG4uEWv\">pic.twitter.com\/ohTlG4uEWv<\/a><\/p>&mdash; Kimihiko Kitase \u2668\ufe0f \u5317\u702c \u516c\u5f66 (@kkitase) <a href=\"https:\/\/twitter.com\/kkitase\/status\/1920382674411118929?ref_src=twsrc%5Etfw\">May 8, 2025<\/a><\/blockquote><script async src=\"https:\/\/platform.twitter.com\/widgets.js\" charset=\"utf-8\"><\/script>\n<\/div><\/figure>\n\n\n<h2 class=\"wp-block-heading\">A test shows that OpenAI&#8217;s o3 model has a hallucination rate of 6.8%<\/h2>\n\n\n<p class=\"wp-block-paragraph\">The recently updated &#8216;Hallucination Leaderboard&#8217; benchmark reveals that some of the most advanced models have not only achieved a low hallucination rate but also contradict the idea that greater technological advancement leads to higher rates of these indices.<\/p>\n\n\n<p class=\"wp-block-paragraph\">For example, models like Google Gemini-2.0-Flash-001 and Vectara Mockingbird-2-Echo have shown hallucination rates of 0.7% and 0.9%, respectively, while <strong>OpenAI&#8217;s o3 model has an alarming rate of 6.8% according to Professor Ethan Mollick from Wharton.<\/strong><\/p>\n\n\n<p class=\"wp-block-paragraph\">This situation presents a dilemma in AI innovation: the models that possess greater reasoning capabilities are, ironically, the ones that face significant difficulties in reliability and accuracy.<\/p>\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=\"Why Large Language Models Hallucinate\" width=\"840\" height=\"473\" src=\"https:\/\/www.youtube.com\/embed\/cfqtFvWOfg0?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<p class=\"wp-block-paragraph\"><strong>Despite the fact that OpenAI has been a pioneer in creating sophisticated AI technologies, the challenge remains to balance performance with accuracy.<\/strong> As companies compete to achieve artificial general intelligence (AGI), this race has led to more powerful developments, although reliability remains a critical component yet to be resolved.<\/p>\n\n\n<p class=\"wp-block-paragraph\">OpenAI is aware of these issues and is working to correct the high rates of hallucination in its systems. <strong>This acknowledgment could be key to ensuring that advancements in capabilities do not compromise the quality<\/strong> of its models in the future, thus emphasizing the importance of reliability in the evolution of generative AI.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Artificial intelligence (AI) continues to show unprecedented advances in its capabilities and reasoning, although these progressions have also been accompanied by a disturbing phenomenon: the increase in hallucination rates in some models. In particular, the most recent models from OpenAI, such as the o3 and the o4-mini, have recorded significantly high hallucination rates, which sharply contrasts with the developments of competitors like Google, whose Gemini models maintain rates below 1%. One test shows that OpenAI&#8217;s o3 model has a hallucination rate of 6.8%. The recently updated &#8216;Hallucination Leaderboard&#8217; reveals that some [&#8230;]<\/p>\n","protected":false},"author":9317,"featured_media":302630,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","wpcf-pageviews":0},"categories":[1015],"tags":[3885],"usertag":[],"vertical":[],"content-category":[6771],"class_list":["post-302629","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-inteligencia-artificial","content-category-ai"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/302629","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\/9317"}],"replies":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/comments?post=302629"}],"version-history":[{"count":1,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/302629\/revisions"}],"predecessor-version":[{"id":307160,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/posts\/302629\/revisions\/307160"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/media\/302630"}],"wp:attachment":[{"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/media?parent=302629"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/categories?post=302629"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/tags?post=302629"},{"taxonomy":"usertag","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/usertag?post=302629"},{"taxonomy":"vertical","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/vertical?post=302629"},{"taxonomy":"content-category","embeddable":true,"href":"https:\/\/cms-articles.softonic.io\/en\/wp-json\/wp\/v2\/content-category?post=302629"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}