{"id":519426,"date":"2025-09-06T10:48:34","date_gmt":"2025-09-06T17:48:34","guid":{"rendered":"https:\/\/jorgep.com\/blog\/?p=519426"},"modified":"2025-09-24T11:08:34","modified_gmt":"2025-09-24T18:08:34","slug":"how-openai-is-consolidating-models-into-gpt-5","status":"publish","type":"post","link":"https:\/\/jorgep.com\/blog\/how-openai-is-consolidating-models-into-gpt-5\/","title":{"rendered":"How OpenAI is Consolidating Models into GPT-5"},"content":{"rendered":"\n<p><\/p>\n\n\n\n<div class=\"wp-block-columns has-theme-palette-7-background-color has-background is-layout-flex wp-container-core-columns-is-layout-2edb0647 wp-block-columns-is-layout-flex\" style=\"margin-top:0;margin-bottom:0\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:80%\">\n<p>Part of: <strong> <a href=\"https:\/\/jorgep.com\/blog\/series-ai-learnings\/\">AI Learning Series Here<\/a><\/strong><\/p>\n\n\n<style>.kadence-column395113_97b87a-23 > .kt-inside-inner-col,.kadence-column395113_97b87a-23 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column395113_97b87a-23 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column395113_97b87a-23 > .kt-inside-inner-col{flex-direction:column;}.kadence-column395113_97b87a-23 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column395113_97b87a-23 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column395113_97b87a-23{position:relative;}@media all and (max-width: 1024px){.kadence-column395113_97b87a-23 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column395113_97b87a-23 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column395113_97b87a-23\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99, .wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99[data-kb-block=\"kb-adv-heading510545_15a085-99\"]{font-size:var(--global-kb-font-size-sm, 0.9rem);font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99[data-kb-block=\"kb-adv-heading510545_15a085-99\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading510545_15a085-99[data-kb-block=\"kb-adv-heading510545_15a085-99\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading510545_15a085-99 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading510545_15a085-99\">Quick Links:\u00a0<a href=\"https:\/\/jorgep.com\/blog\/resources-for-learning-ai\/\">Resources for Learning AI<\/a> | <a href=\"https:\/\/jorgep.com\/blog\/keeping-up-with-ai\/\">Keep up with AI<\/a> | <a href=\"https:\/\/jorgep.com\/blog\/list-of-ai-tools\/\" data-type=\"post\" data-id=\"402818\">List of AI Tools<\/a> | <a href=\"https:\/\/jorgep.com\/blog\/local-ai-series\/\" data-type=\"page\" data-id=\"519365\">Local AI<\/a><\/p>\n<\/div><\/div>\n\n\n<style>.kb-row-layout-id395113_d73e95-0d > .kt-row-column-wrap{align-content:start;}:where(.kb-row-layout-id395113_d73e95-0d > .kt-row-column-wrap) > .wp-block-kadence-column{justify-content:start;}.kb-row-layout-id395113_d73e95-0d > .kt-row-column-wrap{column-gap:var(--global-kb-gap-md, 2rem);row-gap:var(--global-kb-gap-none, 0rem );padding-top:var(--global-kb-spacing-xxs, 0.5rem);padding-bottom:var(--global-kb-spacing-xxs, 0.5rem);grid-template-columns:repeat(2, minmax(0, 1fr));}.kb-row-layout-id395113_d73e95-0d > .kt-row-layout-overlay{opacity:0.30;}@media all and (max-width: 1024px){.kb-row-layout-id395113_d73e95-0d > .kt-row-column-wrap{grid-template-columns:repeat(2, minmax(0, 1fr));}}@media all and (max-width: 767px){.kb-row-layout-id395113_d73e95-0d > .kt-row-column-wrap{grid-template-columns:minmax(0, 1fr);}}<\/style><div class=\"kb-row-layout-wrap kb-row-layout-id395113_d73e95-0d alignnone wp-block-kadence-rowlayout\"><div class=\"kt-row-column-wrap kt-has-2-columns kt-row-layout-equal kt-tab-layout-inherit kt-mobile-layout-row kt-row-valign-top\">\n<style>.kadence-column395113_df36f9-de > .kt-inside-inner-col,.kadence-column395113_df36f9-de > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column395113_df36f9-de > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column395113_df36f9-de > .kt-inside-inner-col{flex-direction:column;}.kadence-column395113_df36f9-de > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column395113_df36f9-de > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column395113_df36f9-de{position:relative;}@media all and (max-width: 1024px){.kadence-column395113_df36f9-de > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column395113_df36f9-de > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column395113_df36f9-de\"><div class=\"kt-inside-inner-col\"><style>.wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9, .wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9[data-kb-block=\"kb-adv-heading395113_b3212c-b9\"]{text-align:center;font-size:var(--global-kb-font-size-sm, 0.9rem);line-height:60px;font-style:normal;background-color:#f5a511;}.wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9[data-kb-block=\"kb-adv-heading395113_b3212c-b9\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading395113_b3212c-b9[data-kb-block=\"kb-adv-heading395113_b3212c-b9\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading395113_b3212c-b9 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading395113_b3212c-b9\">Subscribe to <a href=\"https:\/\/go.35s.be\/jtb\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>JorgeTechBits  newsletter<\/strong><\/a><\/p>\n<\/div><\/div>\n\n\n<style>.kadence-column395113_4b4b81-29 > .kt-inside-inner-col,.kadence-column395113_4b4b81-29 > .kt-inside-inner-col:before{border-top-left-radius:0px;border-top-right-radius:0px;border-bottom-right-radius:0px;border-bottom-left-radius:0px;}.kadence-column395113_4b4b81-29 > .kt-inside-inner-col{column-gap:var(--global-kb-gap-sm, 1rem);}.kadence-column395113_4b4b81-29 > .kt-inside-inner-col{flex-direction:column;}.kadence-column395113_4b4b81-29 > .kt-inside-inner-col > .aligncenter{width:100%;}.kadence-column395113_4b4b81-29 > .kt-inside-inner-col:before{opacity:0.3;}.kadence-column395113_4b4b81-29{position:relative;}@media all and (max-width: 1024px){.kadence-column395113_4b4b81-29 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}@media all and (max-width: 767px){.kadence-column395113_4b4b81-29 > .kt-inside-inner-col{flex-direction:column;justify-content:center;}}<\/style>\n<div class=\"wp-block-kadence-column kadence-column395113_4b4b81-29\"><div class=\"kt-inside-inner-col\"><\/div><\/div>\n\n<\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\"><div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large is-resized\"><a href=\"htthttps:\/\/jorgep.com\/blog\/book-dont-just-chat-delegate\/\"><img loading=\"lazy\" decoding=\"async\" width=\"640\" height=\"1024\" src=\"https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-640x1024.jpg\" alt=\"\" class=\"wp-image-520234\" style=\"aspect-ratio:0.6250142320391666;width:98px;height:auto\" srcset=\"https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-640x1024.jpg 640w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-188x300.jpg 188w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-768x1229.jpg 768w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-960x1536.jpg 960w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01-1280x2048.jpg 1280w, https:\/\/jorgep.com\/blog\/wp-content\/uploads\/CoverBook-01.jpg 1600w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/a><figcaption class=\"wp-element-caption\"><a href=\"https:\/\/jorgep.com\/blog\/book-series-ai-dont-just-chat\/\" data-type=\"page\" data-id=\"520242\">Check out the Book Series<\/a><\/figcaption><\/figure>\n<\/div><\/div>\n<\/div>\n\n\n<style>.wp-block-kadence-advancedheading.kt-adv-heading519190_b33a00-c9, .wp-block-kadence-advancedheading.kt-adv-heading519190_b33a00-c9[data-kb-block=\"kb-adv-heading519190_b33a00-c9\"]{font-size:var(--global-kb-font-size-sm, 0.9rem);font-style:normal;}.wp-block-kadence-advancedheading.kt-adv-heading519190_b33a00-c9 mark.kt-highlight, .wp-block-kadence-advancedheading.kt-adv-heading519190_b33a00-c9[data-kb-block=\"kb-adv-heading519190_b33a00-c9\"] mark.kt-highlight{font-style:normal;color:#f76a0c;-webkit-box-decoration-break:clone;box-decoration-break:clone;padding-top:0px;padding-right:0px;padding-bottom:0px;padding-left:0px;}.wp-block-kadence-advancedheading.kt-adv-heading519190_b33a00-c9 img.kb-inline-image, .wp-block-kadence-advancedheading.kt-adv-heading519190_b33a00-c9[data-kb-block=\"kb-adv-heading519190_b33a00-c9\"] img.kb-inline-image{width:150px;vertical-align:baseline;}<\/style>\n<p class=\"kt-adv-heading519190_b33a00-c9 wp-block-kadence-advancedheading\" data-kb-block=\"kb-adv-heading519190_b33a00-c9\"><strong>Disclaimer:<\/strong> <strong>I create this content entirely on my own time, and the views expressed here are mine alone (not my employer&#8217;s)<\/strong>. Because I love leveraging new tech, I use AI tools like Gemini, NotebookLM, Claude, Perplexity and others as a &#8220;digital team&#8221; to help research and polish these articles so I can share the best possible insights with you!<\/p>\n\n\n\n<p>Back in August I wrote about <a href=\"https:\/\/jorgep.com\/blog\/the-launch-of-gpt-5-a-new-leap-in-ai-intelligence\/\">The Launch of GPT-5: A New Leap in AI Intelligence<\/a> and before that <a href=\"https:\/\/jorgep.com\/blog\/openai-slashes-o3-model-prices-by-80-what-it-means\/\">OpenAI Slashes o3 Model Prices by 80%: What It Means<\/a><\/p>\n\n\n\n<p>This time I am writing about how the very confusing naming convention <strong>OpenAI Models<\/strong> is now consolidating into one. <\/p>\n\n\n\n<p>For years, developers and businesses have managed a sprawling ecosystem of OpenAI models, with different versions optimized for specific tasks. Need a quick, cheap response? There&#8217;s a <strong>gpt-3.5-turbo\u00a0<\/strong> \u00a0for that. Working on advanced reasoning? You&#8217;d choose one of the \u00a0gpt-4\u00a0  series. As of August 2025, that era has officially ended. With the launch of the GPT-5 family, OpenAI has initiated a major consolidation, retiring older, specialized models and folding their distinct capabilities into a new, unified architecture.<\/p>\n\n\n\n<p>This is not just an upgrade; it&#8217;s a strategic shift. The new GPT-5 model family is designed to be the &#8220;one ring&#8221; for most AI tasks. Instead of requiring developers to select different models for different use cases, the flagship GPT-5 uses an internal router to dynamically choose the right reasoning effort for each task, from a quick thought to a multi-step plan.<\/p>\n\n\n\n<p>The consolidation of model capabilities into the GPT-5 ecosystem simplifies development, but it also marks a new era for AI application builders. It\u2019s no longer about picking the right model; it&#8217;s about mastering the single model that can do it all.<\/p>\n\n\n\n<p>The new GPT-5 model family at a glance<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table><tbody><tr><th>Model<\/th><th>Price per 1M Tokens (Input \/ Output)<\/th><th>Description<\/th><th>Strengths<\/th><th>Ideal Use Cases<\/th><\/tr><tr><td><strong>GPT-5<\/strong><\/td><td><strong>$1.25 \/ $10.00<\/strong><\/td><td>The flagship model, a powerful reasoning engine, with a built-in router that balances speed and thoroughness.<\/td><td>Strong multi-step reasoning, high accuracy on benchmarks, lower hallucination rates, and excellent coding and context handling.<\/td><td>Complex data analysis, research summarization, advanced question answering, and technical decision-making.<\/td><\/tr><tr><td><strong>GPT-5 Codex<\/strong><\/td><td><strong>$1.25 \/ $10.00<\/strong><\/td><td>A specialized, highly optimized version of GPT-5 designed for agentic software engineering and complex coding workflows.<\/td><td><strong>Focuses on execution of coding tasks.<\/strong>&nbsp;Adapts reasoning for both quick fixes and multi-hour debugging. Excellent for code review, validation, and producing high-quality code.<\/td><td>Agentic coding applications, debugging production issues, large-scale refactoring, and structured code reviews.<\/td><\/tr><tr><td><strong>GPT-5 Mini<\/strong><\/td><td><strong>$0.25 \/ $2.00<\/strong><\/td><td>A faster, lower-cost option designed for efficiency and balancing inference speed with robust reasoning.<\/td><td>Solid reasoning capabilities with faster response times than standard GPT-5, reduced resource usage, suitable for interactive sessions.<\/td><td>Cost-sensitive applications like chatbots or IVR systems, and quick, well-defined tasks.<\/td><\/tr><tr><td><strong>GPT-5 Nano<\/strong><\/td><td><strong>$0.05 \/ $0.40<\/strong><\/td><td>Optimized for speed and low latency, making it ideal for applications that prioritize rapid responses.<\/td><td>Ultra-fast response times, ultra-low latency, and the most cost-effective option.<\/td><td>Real-time applications on edge devices and mobile apps, and simple tasks like summarization or classification.<\/td><\/tr><tr><td><strong>GPT-5 Chat<\/strong><\/td><td><strong>$1.25 \/ $10.00<\/strong><\/td><td>Advanced, natural, multimodal, and context-aware conversations for enterprise applications.<\/td><td>Optimized for conversational AI, handles multimodal inputs, and maintains context over multiple turns.<\/td><td>Enterprise applications, customer support systems, and multimodal conversational interfaces.<\/td><\/tr><tr><td><strong>GPT-5 Thinking Mode<\/strong><\/td><td><em>Implicit<\/em><\/td><td>A specialized, internal mode accessed within GPT-5 that dedicates more compute power for multi-step reasoning.<\/td><td>Significantly improved performance in deep reasoning tasks. Achieves high scores on benchmarks like SWE-bench.<\/td><td>Multi-step problem-solving, complex code analysis, and debugging.<\/td><\/tr><tr><td><strong>GPT-5 Pro<\/strong><\/td><td><em>Custom Pricing<\/em><\/td><td>Extended reasoning using scaled parallel computing for the most complex tasks, representing the highest &#8220;thinking effort&#8221;.<\/td><td>Provides the highest level of reasoning and problem-solving within the GPT-5 family.<\/td><td>Complex scientific research, engineering, and scenarios demanding maximum accuracy, potentially with custom pricing structures.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><em>Note on pricing: Prices are based on publicly available information and are per million tokens. They may vary based on specific agreements.<\/em><\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Why is this consolidation important for the future of AI?<\/h3>\n\n\n\n<p>The consolidation of OpenAI&#8217;s models into the GPT-5 family signifies a major shift towards more versatile and efficient AI architectures. Here&#8217;s why this is important:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Reduced Complexity<\/strong>: Developers no longer have to worry about managing a fleet of different models for distinct tasks. This simplifies workflow and speeds up development.<\/li>\n\n\n\n<li><strong>Increased Efficiency<\/strong>: By consolidating functionality, OpenAI has reduced the computational resources needed for running diverse AI applications, with up to 40% better computational efficiency reported for some tasks.<\/li>\n\n\n\n<li><strong>A Steeper Learning Curve<\/strong>: The new architecture, with its internal routing mechanism, presents a new paradigm for developers to learn. Understanding how and when GPT-5 applies different levels of reasoning will be key to effective prompt engineering.<\/li>\n\n\n\n<li><strong>Unified Reasoning<\/strong>: The ability to perform high-level reasoning across text, code, and multimodal inputs from a single model opens new possibilities for creating more sophisticated AI applications.<\/li>\n\n\n\n<li><strong>Lower Costs<\/strong>: The move towards a unified platform and the introduction of a discounted cache for input tokens will lead to significant cost reductions for many use cases.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Retirement dates for older models<\/h3>\n\n\n\n<p>With the release of GPT-5, older OpenAI models are being retired. Here are the key dates to be aware of:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>GPT-4.5-preview<\/strong>: Retired from the API on\u00a0<strong>July 14, 2025<\/strong>. Replaced by GPT-4.1.<\/li>\n\n\n\n<li><strong>GPT-4o-realtime-preview<\/strong>: Retired from the API no earlier than\u00a0<strong>September 1, 2025<\/strong>.<\/li>\n\n\n\n<li><strong>GPT-4 and GPT-4-32k (0314 and 0613)<\/strong>: Retired from ChatGPT on\u00a0<strong>April 30, 2025<\/strong>, and from the API on\u00a0<strong>June 6, 2025<\/strong>.<\/li>\n\n\n\n<li><strong>GPT-3.5 Turbo (0301 and 0613)<\/strong>: Retired on\u00a0<strong>February 13, 2025<\/strong>.<\/li>\n\n\n\n<li><strong>Older models (including\u00a0<code>text-davinci<\/code>,\u00a0<code>ada<\/code>,\u00a0<code>babbage<\/code>,\u00a0<code>curie<\/code>, and\u00a0<code>davinci<\/code>)<\/strong>: Retired on\u00a0<strong>January 4, 2024<\/strong>.<\/li>\n<\/ul>\n\n\n\n<p>The shift to GPT-5 marks a new chapter for OpenAI and the broader AI ecosystem. By consolidating its offerings, the company is simplifying its product line while pushing the boundaries of what a single, unified AI model can achieve. Developers and businesses should take note of these changes and prepare to adopt the new GPT-5 model family to stay competitive in the fast-evolving AI landscape.<\/p>\n\n\n\n<p>References<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/openai.com\/index\/introducing-gpt-5\/\">Introducing GPT-5 <\/a><\/li>\n\n\n\n<li>Introducing gpt-realtime and Realtime API updates\n<ul class=\"wp-block-list\">\n<li>Realtime API docs:\u00a0<a href=\"https:\/\/platform.openai.com\/docs\/guides\/realtime\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/platform.openai.com\/docs\/guides\/realtime<\/a><\/li>\n\n\n\n<li>OpenAI Blog:\u00a0<a href=\"https:\/\/openai.com\/blog\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/openai.com\/blog<\/a><\/li>\n\n\n\n<li>Search:\u00a0<a href=\"https:\/\/www.google.com\/search?q=site%3Aopenai.com%2Fblog+%22Realtime+API%22+OR+%22gpt-realtime%22\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.google.com\/search?q=site%3Aopenai.com%2Fblog+%22Realtime+API%22+OR+%22gpt-realtime%22<\/a><\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><a href=\"https:\/\/openai.com\/index\/introducing-upgrades-to-codex\/\">Introducing upgrades to Codex (specialized GPT-5 Codex)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/www.creolestudios.com\/gpt-5-vs-gpt-5-thinking-vs-pro\/\">GPT-5 vs GPT-5 Thinking vs Pro: Key Differences (Creole Studios)<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Back in August I wrote about The Launch of GPT-5: A New Leap in AI Intelligence and before that OpenAI Slashes o3 Model Prices by 80%: What It Means This time I am writing about how the very confusing naming convention OpenAI Models is now consolidating into one. For years, developers and businesses have managed&#8230;<\/p>\n","protected":false},"author":2,"featured_media":437651,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_kad_blocks_custom_css":"","_kad_blocks_head_custom_js":"","_kad_blocks_body_custom_js":"","_kad_blocks_footer_custom_js":"","ngg_post_thumbnail":0,"_kad_post_transparent":"","_kad_post_title":"","_kad_post_layout":"","_kad_post_sidebar_id":"","_kad_post_content_style":"","_kad_post_vertical_padding":"","_kad_post_feature":"","_kad_post_feature_position":"","_kad_post_header":false,"_kad_post_footer":false,"_kad_post_classname":"","footnotes":"[]"},"categories":[441],"tags":[471,930,876,893],"class_list":["post-519426","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tech-talk","tag-ai","tag-ai-series","tag-llm","tag-openai"],"taxonomy_info":{"category":[{"value":441,"label":"Tech Talk"}],"post_tag":[{"value":471,"label":"AI"},{"value":930,"label":"AI Series"},{"value":876,"label":"LLM"},{"value":893,"label":"openai"}]},"featured_image_src_large":["https:\/\/jorgep.com\/blog\/wp-content\/uploads\/ModerndEUC-OpenAI_Breakup.jpg",600,254,false],"author_info":{"display_name":"Jorge Pereira","author_link":"https:\/\/jorgep.com\/blog\/author\/jorge\/"},"comment_info":0,"category_info":[{"term_id":441,"name":"Tech Talk","slug":"tech-talk","term_group":0,"term_taxonomy_id":451,"taxonomy":"category","description":"","parent":0,"count":695,"filter":"raw","cat_ID":441,"category_count":695,"category_description":"","cat_name":"Tech Talk","category_nicename":"tech-talk","category_parent":0}],"tag_info":[{"term_id":471,"name":"AI","slug":"ai","term_group":0,"term_taxonomy_id":481,"taxonomy":"post_tag","description":"","parent":0,"count":158,"filter":"raw"},{"term_id":930,"name":"AI Series","slug":"ai-series","term_group":0,"term_taxonomy_id":940,"taxonomy":"post_tag","description":"","parent":0,"count":163,"filter":"raw"},{"term_id":876,"name":"LLM","slug":"llm","term_group":0,"term_taxonomy_id":886,"taxonomy":"post_tag","description":"","parent":0,"count":18,"filter":"raw"},{"term_id":893,"name":"openai","slug":"openai","term_group":0,"term_taxonomy_id":903,"taxonomy":"post_tag","description":"","parent":0,"count":3,"filter":"raw"}],"_links":{"self":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/posts\/519426","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/comments?post=519426"}],"version-history":[{"count":1,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/posts\/519426\/revisions"}],"predecessor-version":[{"id":519427,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/posts\/519426\/revisions\/519427"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/media\/437651"}],"wp:attachment":[{"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/media?parent=519426"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/categories?post=519426"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jorgep.com\/blog\/wp-json\/wp\/v2\/tags?post=519426"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}