{"id":56856,"date":"2025-04-17T16:45:46","date_gmt":"2025-04-17T19:45:46","guid":{"rendered":"https:\/\/manualdousuario.net\/?p=56856"},"modified":"2025-04-17T16:45:46","modified_gmt":"2025-04-17T19:45:46","slug":"chatgpt-geoguesser-local-fotos-o3","status":"publish","type":"post","link":"https:\/\/manualdousuario.net\/en\/chatgpt-geoguesser-local-fotos-o3\/","title":{"rendered":"ChatGPT can guess the location of photos"},"content":{"rendered":"<p>Not that I take pride in it, but the truth is that I&#8217;ve lost track of OpenAI&#8217;s releases. On Wednesday (16<sup>th<\/sup>), the company announced two new models, o3 and o4-mini, with intriguing developments.<\/p>\n<p>The o3 is described by OpenAI as \u201cour most powerful reasoning model\u201d; the o4-mini is a \u201csmaller model optimized for fast, cost-efficient reasoning.\u201d Both are accessible through the ChatGPT UI and can handle various tools, such as \u201cvisual tasks\u201d (analyzing uploaded image files).<\/p>\n<p>One of the examples of visual task provided by OpenAI in the <a href=\"https:\/\/openai.com\/index\/introducing-o3-and-o4-mini\/\">official announcement<\/a> seems to have sparked a new craze: discovering the location of images based on the images themselves, a sort of reverse search or, as it&#8217;s been referred to on social media, \u201cthe end of Geoguesser.\u201d<\/p>\n<p><cite>TechCrunch<\/cite> noted that <a href=\"https:\/\/techcrunch.com\/2025\/04\/17\/the-latest-viral-chatgpt-trend-is-doing-reverse-location-search-from-photos\/\">the o3 isn\u2019t much better than GPT-4o<\/a>, an earlier and faster model, and that it\u2019s not perfect, misidentifying the locations and sometimes failing to make a guess at all. Nonetheless, this capability of ChatGPT can be unsettling and already creates a new vector of paranoia regarding online privacy: it\u2019s no longer enough to just clean the metadata from photos before uploading them.<\/p>\n<p>By the very nature of LLMs, it\u2019s challenging to distinguish genuine advancements from the enthusiasm of supporters. Techmeme, an aggregator of news and reactions from the tech industry, picked up <a href=\"https:\/\/x.com\/carmenleelau\/status\/1912645771955962300\">this comment<\/a> from someone on X:<\/p>\n<blockquote><p>I&#8217;m obsessed with o3. It&#8217;s way better than the previous models. It just helped me resolve a psychological\/emotional problem I&#8217;ve been dealing with for years in like 3 back-and-forths (one that wasn&#8217;t socially acceptable to share, and those I shared it with didn&#8217;t\/couldn&#8217;t help)<\/p><\/blockquote>\n<p>I find myself wondering what kind of \u201cpsychological\/emotional problem I&#8217;ve been dealing with for years\u201d a conversation with an AI released just hours ago could possibly resolve.<\/p>\n<p>&#42;&#42;&#42;<\/p>\n<p>OpenAI&#8217;s blitz of releases is having an impact. In March, driven by trends like those from Studio Ghibli and the action figure boxes, <a href=\"https:\/\/appfigures.com\/resources\/insights\/20250404?f=2\">ChatGPT became the most downloaded app in the world<\/a>, according to consulting firm Appfigures, surpassing Instagram and TikTok, the usual leaders in recent months.<\/p>\n<p>&#42;&#42;&#42;<\/p>\n<p>On Thursday (17<sup>th<\/sup>), <a href=\"https:\/\/developers.googleblog.com\/en\/start-building-with-gemini-25-flash\/\">Google released Gemini 2.5 Flash<\/a>, which \u201cdelivers a major upgrade in reasoning capabilities, while still prioritizing speed and cost.\u201d One of these days, a new model will be able to guess the color of our underwear and bring about world peace.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Not that I take pride in it, but the truth is that I&#8217;ve lost track of OpenAI&#8217;s releases. On Wednesday (16th), the company announced two new models, o3 and o4-mini, with intriguing developments. The o3 is described by OpenAI as \u201cour most powerful reasoning model\u201d; the o4-mini is a \u201csmaller model optimized for fast, cost-efficient [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"episode_type":"","audio_file":"","podmotor_file_id":"","podmotor_episode_id":"","cover_image":"","cover_image_id":"","duration":"","filesize":"","filesize_raw":"","date_recorded":"","explicit":"","block":"","itunes_episode_number":"","itunes_title":"","itunes_season_number":"","itunes_episode_type":"","_locale":"en_US","_original_post":""},"categories":[1575],"tags":[1833],"_links":{"self":[{"href":"https:\/\/manualdousuario.net\/wp-json\/wp\/v2\/posts\/56856"}],"collection":[{"href":"https:\/\/manualdousuario.net\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/manualdousuario.net\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/manualdousuario.net\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/manualdousuario.net\/wp-json\/wp\/v2\/comments?post=56856"}],"version-history":[{"count":2,"href":"https:\/\/manualdousuario.net\/wp-json\/wp\/v2\/posts\/56856\/revisions"}],"predecessor-version":[{"id":56858,"href":"https:\/\/manualdousuario.net\/wp-json\/wp\/v2\/posts\/56856\/revisions\/56858"}],"wp:attachment":[{"href":"https:\/\/manualdousuario.net\/wp-json\/wp\/v2\/media?parent=56856"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/manualdousuario.net\/wp-json\/wp\/v2\/categories?post=56856"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/manualdousuario.net\/wp-json\/wp\/v2\/tags?post=56856"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}