{"id":2061,"date":"2024-09-13T14:07:46","date_gmt":"2024-09-13T14:07:46","guid":{"rendered":"https:\/\/www.inthacity.com\/blog\/?p=2061"},"modified":"2025-07-06T19:41:49","modified_gmt":"2025-07-07T00:41:49","slug":"openai-strawberry-ai-slower-smarter-advanced-reasoning","status":"publish","type":"post","link":"https:\/\/www.inthacity.com\/blog\/tech\/openai-strawberry-ai-slower-smarter-advanced-reasoning\/","title":{"rendered":"OpenAI\u2019s Strawberry AI: Slower, Smarter, and Ready to Change the Game"},"content":{"rendered":"<p>Yes, I said slower! OpenAI is back at it again, and this time, they\u2019ve ditched the fruit bowl for something <em>sweeter<\/em>\u2014meet <a href=\"https:\/\/www.inthacity.com\/blog\/tech\/openai-strawberry-ai-model-2024-innovation\/\"><strong>Strawberry<\/strong><\/a>, their latest large language model, and spoiler alert: it\u2019s kind of a big deal. So, what makes this one stand out in the already crowded AI fruit salad of models? Strap in and let\u2019s look into this new AI flavor, where slow and steady <em>actually<\/em> wins the race.<\/p>\n<h3>Why Strawberry Is Unique<\/h3>\n<p>First off, let\u2019s dive into what makes Strawberry different. Unlike previous models that are built for rapid-fire responses, Strawberry was designed for more complex reasoning and analytical thinking. Think of it like this: GPT-4 is your fast-talking friend who gives answers off the top of their head, while Strawberry is that one friend who quietly ponders everything before hitting you with a deeply thought-out response.<\/p>\n<p>What sets Strawberry apart is its ability to take its time\u2014literally. By spending 10 to 20 seconds on a problem, it reduces errors and provides more nuanced answers. This makes it perfect for tasks that involve <a href=\"https:\/\/www.inthacity.com\/blog\/tech\/openai-strawberry-ai-slower-smarter-advanced-reasoning\/\"><strong>multi-step reasoning<\/strong><\/a>, whether it\u2019s solving tough math problems, developing intricate business strategies, or writing complex code.<\/p>\n<p>But wait, there\u2019s more. Strawberry is set to integrate into OpenAI\u2019s <a rel=\"noopener\" target=\"_new\" href=\"https:\/\/openai.com\/chatgpt\">ChatGPT<\/a> platform. You\u2019ll be able to choose it from a dropdown menu of models, and it\u2019ll be the go-to option for when you need something <em>extra<\/em> smart.<\/p>\n<h3>Pricing? Maybe Get Ready for a New Tier<\/h3>\n<p>Rumor has it that Strawberry might introduce a whole new pricing model for OpenAI. According to some insiders, you might not get to use this model for free (like you currently do with GPT). Instead, there could be a pay-per-use system that limits how many messages you can send per hour. And if you want faster response times, well, you might need to fork over some extra cash for that premium package.<\/p>\n<p>The good news? If you\u2019re a current subscriber to ChatGPT Plus, you might get early access to Strawberry before it hits the free tier.<\/p>\n<h3>A Few Speed Bumps Along the Way<\/h3>\n<p>Not everything is sunshine and rainbows, though. Despite its advanced reasoning capabilities, Strawberry has some notable limitations. For one, it\u2019s launching as a text-only model, which means no images or videos\u2014at least, not yet. While GPT-4 can handle multimodal tasks, <strong>Strawberry<\/strong> is taking things slow.<\/p>\n<p>Also, some early testers have noticed that Strawberry\u2019s slower response time isn\u2019t always justified, especially for simple queries. And its ability to maintain context over long conversations? Let\u2019s just say that\u2019s still a work in progress.<\/p>\n\t\t\t<div \n\t\t\tclass=\"yotu-playlist yotuwp yotu-limit-min yotu-limit-max   yotu-thumb-169  yotu-template-grid\" \n\t\t\tdata-page=\"1\"\n\t\t\tid=\"yotuwp-6a0343a96ed54\"\n\t\t\tdata-yotu=\"6a0343a984da2\"\n\t\t\tdata-total=\"1\"\n\t\t\tdata-settings=\"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\"\n\t\t\tdata-player=\"large\"\n\t\t\tdata-showdesc=\"on\" >\n\t\t\t\t<div>\n\t\t\t\t\t\t\t\t\t\t<div class=\"yotu-wrapper-player\" style=\"width:600px\">\n\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"yotu-player\">\n\t\t\t\t\t\t\t<div class=\"yotu-video-placeholder\" id=\"yotu-player-6a0343a984da2\"><\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<div class=\"yotu-playing-status\"><\/div>\n\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div class=\"yotu-pagination yotu-hide yotu-pager_layout-default yotu-pagination-top\">\n<a href=\"#\" class=\"yotu-pagination-prev yotu-button-prs yotu-button-prs-1\" data-page=\"prev\">Prev<\/a>\n<span class=\"yotu-pagination-current\">1<\/span> <span>of<\/span> <span class=\"yotu-pagination-total\">1<\/span>\n<a href=\"#\" class=\"yotu-pagination-next yotu-button-prs yotu-button-prs-1\" data-page=\"next\">Next<\/a>\n<\/div>\n<div class=\"yotu-videos yotu-mode-grid yotu-column-3 yotu-player-mode-large\">\n\t<ul>\n\t\t\t\t\t<li class=\" yotu-first yotu-last\">\n\t\t\t\t\t\t\t\t<a href=\"#iIb6X_bXTI0\" class=\"yotu-video\" data-videoid=\"iIb6X_bXTI0\" data-title=\"OpenAI Strawberry aka 01 Is OUT - All You Need To Know!\" title=\"OpenAI Strawberry aka 01 Is OUT - All You Need To Know!\">\n\t\t\t\t\t<div class=\"yotu-video-thumb-wrp\">\n\t\t\t\t\t\t<div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img  title=\"\" decoding=\"async\" class=\"yotu-video-thumb\" src=\"https:\/\/i.ytimg.com\/vi\/iIb6X_bXTI0\/sddefault.jpg\"  alt=\"sddefault OpenAI\u2019s Strawberry AI: Slower, Smarter, and Ready to Change the Game\" >\t\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t<h3 class=\"yotu-video-title\">OpenAI Strawberry aka 01 Is OUT - All You Need To Know!<\/h3>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"yotu-video-description\"><\/div>\n\t\t\t\t\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\n\t\t\t\t<\/ul>\n<\/div><div class=\"yotu-pagination yotu-hide yotu-pager_layout-default yotu-pagination-bottom\">\n<a href=\"#\" class=\"yotu-pagination-prev yotu-button-prs yotu-button-prs-1\" data-page=\"prev\">Prev<\/a>\n<span class=\"yotu-pagination-current\">1<\/span> <span>of<\/span> <span class=\"yotu-pagination-total\">1<\/span>\n<a href=\"#\" class=\"yotu-pagination-next yotu-button-prs yotu-button-prs-1\" data-page=\"next\">Next<\/a>\n<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t\t\n<h3>The OpenAI Drama You Didn\u2019t Know About<\/h3>\n<p>Now here\u2019s where things get spicy. Before it was called Strawberry, the model went by the name Q (or QAR for you insiders). And it wasn\u2019t just another project\u2014it was a point of contention that almost tore OpenAI apart. If you remember, just before OpenAI\u2019s CEO, <a rel=\"noopener\" target=\"_new\" href=\"https:\/\/en.wikipedia.org\/wiki\/Sam_Altman\">Sam Altman<\/a>, was <em>briefly<\/em> ousted last year, there was a huge internal debate over the development of Q.<\/p>\n<p>Some researchers at OpenAI were worried that <strong>Q<\/strong> (now Strawberry) was inching dangerously close to <strong>Artificial General Intelligence (AGI)<\/strong>\u2014the holy grail of AI development. If we reach AGI, we\u2019re talking about machines that can learn, think, and adapt across <em>any<\/em> task, just like a human. Sounds great, right? Well, some OpenAI staffers thought it sounded a little too much like Skynet from <em>The Terminator<\/em>.<\/p>\n<p>The big concern? AGI could evolve in unpredictable ways, leading to risks we haven\u2019t even considered yet. So while some were pushing for Q\u2019s development, others were waving red flags and shouting, \u201cDanger, Will Robinson!\u201d<\/p>\n<h3>Strawberry\u2019s Secret Sauce: STAR and System 2 Thinking<\/h3>\n<p>One of <strong>Strawberry\u2019s<\/strong> key innovations is its use of System 2 thinking\u2014a concept introduced by psychologist <a rel=\"noopener\" target=\"_new\" href=\"https:\/\/en.wikipedia.org\/wiki\/Daniel_Kahneman\">Daniel Kahneman<\/a> in his book <em><a rel=\"noopener\" target=\"_new\" href=\"https:\/\/en.wikipedia.org\/wiki\/Thinking,_Fast_and_Slow\">Thinking, Fast and Slow<\/a><\/em>. This kind of thinking is slow, deliberate, and analytical, contrasting with the quick, intuitive decisions we make through <strong>System 1<\/strong> thinking.<\/p>\n<p>Strawberry\u2019s focus on System 2 thinking means it takes its time to analyze and process information, reducing errors and improving accuracy. But that\u2019s not all\u2014Strawberry also uses a method known as STAR (Self-Taught Reasoner), a process that enhances reasoning skills through iterative learning. It\u2019s like teaching yourself how to solve a math problem and then using that knowledge to solve an entire math textbook. Over time, the model fine-tunes its reasoning abilities, making it smarter with every iteration.<\/p>\n<h3>What\u2019s Next for Strawberry?<\/h3>\n<p>As with any major tech release, the rumor mill is churning out some juicy tidbits about what might come next for Strawberry. Some insiders speculate that future versions of Strawberry could introduce multimodal capabilities. That means it wouldn\u2019t just be limited to text\u2014it could handle images, audio, and maybe even video. Imagine feeding Strawberry an image, and it writes a full-on report about it\u2014<em>chef\u2019s kiss<\/em>.<\/p>\n<p>There\u2019s also talk that OpenAI is looking to combine Strawberry with other AI models, like their Orion project. Orion, rumored to be in development alongside Strawberry, is said to be a next-gen language model with data-synthesis capabilities that could take AI reasoning to the next level.<\/p>\n<h3>The Cost of Greatness<\/h3>\n<p>Let\u2019s talk money. Training an AI like Strawberry isn\u2019t cheap. Training GPT-4 reportedly cost over $100 million, and future models like Strawberry could have even higher price tags. We\u2019re talking hundreds of millions of dollars, if not billions. This has many in the tech world asking: how can companies like OpenAI sustain these costs?<\/p>\n<p>The pressure is mounting for AI companies to prove that these expensive models have real-world applications that justify their costs. OpenAI will need to show that Strawberry isn\u2019t just a shiny new toy\u2014it\u2019s a powerful tool that delivers tangible value to businesses and users alike.<\/p>\n<h3>Final Thoughts: Is Strawberry a Game-Changer?<\/h3>\n<p>So, what\u2019s the verdict? Strawberry is clearly pushing boundaries with its deliberate approach to problem-solving. By slowing down and focusing on reasoning, it aims to offer a deeper, more accurate level of AI interaction. But will users be willing to trade quick responses for higher-quality answers? Only time will tell.<\/p>\n<p>Now, I turn the question over to you: Would you rather have a fast but maybe less accurate AI, or are you ready for something slower but more thoughtful? Drop your thoughts in the comments below.<\/p>\n<p>And hey, if you\u2019re not already part of our tech-savvy community, it\u2019s time to claim your citizenship of the \"<a href=\"https:\/\/www.inthacity.com\">Shining City on the Web<\/a>\" \u2014join the conversation, share your thoughts, and help us shape the future of AI together!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>OpenAI\u2019s new Strawberry model is designed to slow down, think harder, and deliver more accurate answers. But will this deliberate approach win over users accustomed to faster AI models like GPT-4? Find out why Strawberry could change the way we interact with AI, and what it means for the future of artificial intelligence.<\/p>\n","protected":false},"author":2,"featured_media":2062,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[348,270,21],"tags":[350,272,507,275,415,277],"class_list":["post-2061","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-agi","category-ai","category-tech","tag-agi","tag-artificial-intelligence","tag-gpt-4","tag-openai","tag-sam-altman","tag-strawberry-ai"],"aioseo_notices":[],"jetpack_featured_media_url":"https:\/\/www.inthacity.com\/blog\/wp-content\/uploads\/2024\/09\/DALL\u00b7E-2024-09-13-09.58.18-A-vibrant-Pop-Art-style-feature-image-depicting-the-OpenAI-Strawberry-AI-model-in-a-futuristic-tech-environment.-The-image-shows-a-combination-of-colo.webp","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/www.inthacity.com\/blog\/wp-json\/wp\/v2\/posts\/2061","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inthacity.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inthacity.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inthacity.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inthacity.com\/blog\/wp-json\/wp\/v2\/comments?post=2061"}],"version-history":[{"count":0,"href":"https:\/\/www.inthacity.com\/blog\/wp-json\/wp\/v2\/posts\/2061\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.inthacity.com\/blog\/wp-json\/wp\/v2\/media\/2062"}],"wp:attachment":[{"href":"https:\/\/www.inthacity.com\/blog\/wp-json\/wp\/v2\/media?parent=2061"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inthacity.com\/blog\/wp-json\/wp\/v2\/categories?post=2061"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inthacity.com\/blog\/wp-json\/wp\/v2\/tags?post=2061"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}