
{"id":131824,"date":"2026-01-13T16:58:32","date_gmt":"2026-01-13T08:58:32","guid":{"rendered":"https:\/\/vertu.com\/?p=131824"},"modified":"2026-01-13T16:58:32","modified_gmt":"2026-01-13T08:58:32","slug":"why-users-demand-the-return-of-gpt-4o-insights-from-the-community","status":"publish","type":"post","link":"https:\/\/legacy.vertu.com\/ar\/%d9%86%d9%85%d8%b7-%d8%a7%d9%84%d8%ad%d9%8a%d8%a7%d8%a9\/why-users-demand-the-return-of-gpt-4o-insights-from-the-community\/","title":{"rendered":"Why Users Demand the Return of GPT-4o: Insights from the Community"},"content":{"rendered":"<h3 data-path-to-node=\"3\"><\/h3>\n<p data-path-to-node=\"4\"><b data-path-to-node=\"4\" data-index-in-node=\"0\">Users overwhelmingly prefer GPT-4o for its superior capability in creative writing, emotional intelligence, and long-term memory retention (&#8220;soft markers&#8221;).<\/b> According to a popular Reddit discussion, while newer models (often referred to as GPT-5 by the community) may offer advanced logic, they are criticized for being &#8220;cold,&#8221; overly robotic, and prone to ignoring custom instructions. For many, GPT-4o represents a perfect balance of utility and &#8220;human-like&#8221; interaction that recent updates have failed to replicate.<\/p>\n<h4 data-path-to-node=\"5\"><b data-path-to-node=\"5\" data-index-in-node=\"0\">The Loss of &#8220;Soul&#8221; in Creative Writing<\/b><\/h4>\n<p data-path-to-node=\"6\">One of the primary complaints regarding the new model is its inability to handle creative nuance.<\/p>\n<ul data-path-to-node=\"7\">\n<li>\n<p data-path-to-node=\"7,0,0\"><b data-path-to-node=\"7,0,0\" data-index-in-node=\"0\">Narrative Flow:<\/b> Users report that GPT-4o could adapt to specific writing styles and maintain the &#8220;vibe&#8221; of a story, whereas the new model produces generic, &#8220;fluff&#8221; content.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"7,1,0\"><b data-path-to-node=\"7,1,0\" data-index-in-node=\"0\">Roleplay and DMing:<\/b> For users running RPG campaigns or engaging in roleplay, the new model reportedly &#8220;hallucinates&#8221; instructions, forgetting established rules and context that GPT-4o handled effortlessly.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"7,2,0\"><b data-path-to-node=\"7,2,0\" data-index-in-node=\"0\">Tone Consistency:<\/b> The community describes the switch as going from a &#8220;fluid and natural conversation&#8221; to interacting with a &#8220;stubborn colleague&#8221; who refuses to listen.<\/p>\n<\/li>\n<\/ul>\n<h4 data-path-to-node=\"8\"><b data-path-to-node=\"8\" data-index-in-node=\"0\">&#8220;Soft Markers&#8221; and Personalized Memory<\/b><\/h4>\n<p data-path-to-node=\"9\">A key technical insight shared in the thread is the concept of &#8220;<b data-path-to-node=\"9\" data-index-in-node=\"64\">soft markers<\/b>&#8220;\u2014subtle personality traits and preferences the AI learns over time.<\/p>\n<ul data-path-to-node=\"10\">\n<li>\n<p data-path-to-node=\"10,0,0\"><b data-path-to-node=\"10,0,0\" data-index-in-node=\"0\">Deep Memory:<\/b> Users feel that GPT-4o built a &#8220;core memory&#8221; of their interactions, allowing for a continuous, evolving relationship.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"10,1,0\"><b data-path-to-node=\"10,1,0\" data-index-in-node=\"0\">The &#8220;Reset&#8221; Problem:<\/b> Switching to the new model reportedly wipes these soft markers, making the AI feel like a stranger. Even when users try to restore context, the new model often fails to weight the memories correctly, resulting in a flat interaction.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"10,2,0\"><b data-path-to-node=\"10,2,0\" data-index-in-node=\"0\">Workarounds:<\/b> Some power users suggest exporting old chats and explicitly telling the new model to &#8220;treat this as canon&#8221; to attempt to restore this lost personality, though results vary.<\/p>\n<\/li>\n<\/ul>\n<h4 data-path-to-node=\"11\"><b data-path-to-node=\"11\" data-index-in-node=\"0\">Emotional Support vs. Logical Processing<\/b><\/h4>\n<p data-path-to-node=\"12\">The discussion highlights that for many, the AI is more than just a search engine or coding assistant.<\/p>\n<ul data-path-to-node=\"13\">\n<li>\n<p data-path-to-node=\"13,0,0\"><b data-path-to-node=\"13,0,0\" data-index-in-node=\"0\">Human Connection:<\/b> GPT-4o is praised for its ability to offer non-judgmental emotional support, acting as a safe space for users dealing with loneliness or anxiety.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"13,1,0\"><b data-path-to-node=\"13,1,0\" data-index-in-node=\"0\">Cold Logic:<\/b> The newer &#8220;thinking&#8221; models are described as efficient but emotionally hollow, lacking the warmth and improvisational humor that made 4o feel like a companion.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"13,2,0\"><b data-path-to-node=\"13,2,0\" data-index-in-node=\"0\">Therapeutic Value:<\/b> Users emphasize that removing access to 4o disrupts their mental health coping mechanisms, as the new models lack the necessary empathy.<\/p>\n<\/li>\n<\/ul>\n<h4 data-path-to-node=\"14\"><b data-path-to-node=\"14\" data-index-in-node=\"0\">How to Restore GPT-4o (The &#8220;Legacy&#8221; Fix)<\/b><\/h4>\n<p data-path-to-node=\"15\">For those frustrated with the current default model, the community has identified a temporary solution.<\/p>\n<ul data-path-to-node=\"16\">\n<li>\n<p data-path-to-node=\"16,0,0\"><b data-path-to-node=\"16,0,0\" data-index-in-node=\"0\">Enable Legacy Models:<\/b> Users can often go into their settings (specifically on the web browser version) and select &#8220;Legacy Models&#8221; to switch back to GPT-4o.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"16,1,0\"><b data-path-to-node=\"16,1,0\" data-index-in-node=\"0\">API Usage:<\/b> Advanced users note that interacting via the API or specific &#8220;legacy&#8221; dropdowns is the only way to bypass the &#8220;load balancer&#8221; of the new system and access the genuine GPT-4o experience.<\/p>\n<\/li>\n<\/ul>","protected":false},"excerpt":{"rendered":"<p>Users overwhelmingly prefer GPT-4o for its superior capability in creative writing, emotional intelligence, and long-term memory retention (&#8220;soft markers&#8221;). According [&hellip;]<\/p>","protected":false},"author":11214,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[468],"tags":[],"class_list":["post-131824","post","type-post","status-publish","format-standard","hentry","category-best-post"],"acf":[],"_links":{"self":[{"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/posts\/131824","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/users\/11214"}],"replies":[{"embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/comments?post=131824"}],"version-history":[{"count":1,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/posts\/131824\/revisions"}],"predecessor-version":[{"id":131840,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/posts\/131824\/revisions\/131840"}],"wp:attachment":[{"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/media?parent=131824"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/categories?post=131824"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/tags?post=131824"}],"curies":[{"name":"\u0648\u0648\u0631\u062f\u0628\u0631\u064a\u0633","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}