{"id":23351,"date":"2024-03-31T10:00:00","date_gmt":"2024-03-31T15:00:00","guid":{"rendered":"https:\/\/blog.planview.com\/?p=23351"},"modified":"2024-03-28T17:43:26","modified_gmt":"2024-03-28T22:43:26","slug":"a-brief-history-of-ai-from-neural-networks-to-chatgpt","status":"publish","type":"post","link":"https:\/\/blog.planview.com\/a-brief-history-of-ai-from-neural-networks-to-chatgpt\/","title":{"rendered":"A Brief History of AI: From Neural Networks to ChatGPT"},"content":{"rendered":"\n<p>Artificial Intelligence (AI) often seems like an overnight success story, but its roots stretch back more than 80 years.&nbsp;&nbsp;<\/p>\n\n\n\n<p>The journey from the inception of neural networks to the sophistication of ChatGPT is a fascinating one, marked by significant milestones, technological advancements, and cultural shifts. Let&#8217;s explore how we got here and why it didn&#8217;t happen sooner.&nbsp;<\/p>\n\n\n\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_80 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<span class=\"ez-toc-title-toggle\"><a href=\"#\" class=\"ez-toc-pull-right ez-toc-btn ez-toc-btn-xs ez-toc-btn-default ez-toc-toggle\" aria-label=\"Toggle Table of Content\"><span class=\"ez-toc-js-icon-con\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #999;color:#999\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #999;color:#999\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/span><\/a><\/span><\/div>\n<nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/blog.planview.com\/a-brief-history-of-ai-from-neural-networks-to-chatgpt\/#AIs_80-Year_Journey\" >AI\u2019s 80-Year Journey&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/blog.planview.com\/a-brief-history-of-ai-from-neural-networks-to-chatgpt\/#The_Four_Cs_Behind_AIs_Evolution\" >The Four Cs Behind AI&#8217;s Evolution&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/blog.planview.com\/a-brief-history-of-ai-from-neural-networks-to-chatgpt\/#The_Final_Catalysts_Courage_and_Cash\" >The Final Catalysts: Courage and Cash&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/blog.planview.com\/a-brief-history-of-ai-from-neural-networks-to-chatgpt\/#A_Journey_of_Incremental_Advances_and_Bold_Leaps\" >A Journey of Incremental Advances and Bold Leaps&nbsp;<\/a><\/li><\/ul><\/nav><\/div>\n<h2 class=\"wp-block-heading\" id=\"h-ai-s-80-year-journey\"><span class=\"ez-toc-section\" id=\"AIs_80-Year_Journey\"><\/span>AI\u2019s 80-Year Journey&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"580\" src=\"https:\/\/blog.planview.com\/wp-content\/uploads\/2024\/02\/planview-blog-history-of-ai-1200x680_blue-1024x580.jpg\" alt=\"\" class=\"wp-image-23525\" srcset=\"https:\/\/blog.planview.com\/wp-content\/uploads\/2024\/02\/planview-blog-history-of-ai-1200x680_blue-1024x580.jpg 1024w, https:\/\/blog.planview.com\/wp-content\/uploads\/2024\/02\/planview-blog-history-of-ai-1200x680_blue-300x170.jpg 300w, https:\/\/blog.planview.com\/wp-content\/uploads\/2024\/02\/planview-blog-history-of-ai-1200x680_blue-150x85.jpg 150w, https:\/\/blog.planview.com\/wp-content\/uploads\/2024\/02\/planview-blog-history-of-ai-1200x680_blue-768x435.jpg 768w, https:\/\/blog.planview.com\/wp-content\/uploads\/2024\/02\/planview-blog-history-of-ai-1200x680_blue.jpg 1200w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">The early days: Neural networks and the Turing Test&nbsp;<\/h3>\n\n\n\n<p>In 1948, the concept of neural networks was introduced, laying the groundwork for AI. By 1950, Alan Turing&#8217;s seminal paper &#8220;Computing Machinery and Intelligence&#8221; posed the famous <a href=\"https:\/\/www.britannica.com\/technology\/artificial-intelligence\/The-Turing-test\" target=\"_blank\" aria-label=\"Turing Test (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">Turing Test<\/a>, asking if a machine could be indistinguishable from a human in conversation. This question would guide AI development for decades.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">The first chatbot: Eliza&nbsp;<\/h3>\n\n\n\n<p>The year 1966 saw the unveiling of Eliza, <a href=\"https:\/\/en.wikipedia.org\/wiki\/ELIZA\" target=\"_blank\" aria-label=\"the world's first chatbot (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">the world&#8217;s first chatbot<\/a>, at MIT. Designed as a \u201ccomputer therapist,\u201d Eliza was simplistic, often parroting users&#8217; statements. Intended as a demonstration to show the banality and limits of current technology in the sixties, Eliza captivated many, hinting at the seductive potential of conversational AI.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">The rise and stumble: \u201cExpert\u201d systems and early AI&nbsp;<\/h3>\n\n\n\n<p>The 1980s witnessed attempts at creating expert systems for use in legal, healthcare, and financial industries. Even the boldest of these experiments were narrow in their expertise and prohibitively expensive to train, falling far short of the hype and tainting the AI label.&nbsp;&nbsp;<\/p>\n\n\n\n<p>However, the 1990s saw neural networks finding practical applications in computer vision and character recognition, as well as other areas where modest-sized neural networks were applicable, reigniting interest in AI.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">The era of machine learning&nbsp;<\/h3>\n\n\n\n<p>The 2000s marked the beginning of machine learning infiltrating our lives through applications like Google, Yelp, and Waze. This period set the stage for AI&#8217;s integration into daily life, making the technology more accessible and familiar to the general public.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Dominating games: AI&#8217;s triumphs in Jeopardy, Chess, and Go&nbsp;<\/h3>\n\n\n\n<p>The 2010s were highlighted by AI algorithms conquering human champions in Jeopardy, Chess, and Go. These victories demonstrated AI&#8217;s growing capabilities and its potential to surpass human expertise in specific domains. But they also served as a warning, as the breakthroughs that developed these capabilities were slow to transfer to domains like healthcare, despite billions spent on research.\u00a0<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>The history of AI is not just about technological advancements but also about cultural shifts, economic factors, and human curiosity and adaptability.\u00a0\u00a0<\/p>\n<\/blockquote>\n\n\n\n<h3 class=\"wp-block-heading\">The advent of large language models&nbsp;<\/h3>\n\n\n\n<p>The 2020s saw large language models like ChatGPT passing the Turing Test, a milestone that redefined AI&#8217;s conversational abilities. This era also proposed a new challenge: That an AI should be capable of creating a startup worth $1M in two months, displaying AI&#8217;s potential in entrepreneurship.\u00a0<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"The_Four_Cs_Behind_AIs_Evolution\"><\/span>The Four Cs Behind AI&#8217;s Evolution&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Like many technological advances, there is no single cause of AI\u2019s ascent. I propose that the following four drivers, applied over the last 30 years, can explain how 2023 became the year AI became ubiquitous.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Compute Capabilities and Cost&nbsp;<\/h3>\n\n\n\n<p><a href=\"https:\/\/ourworldindata.org\/moores-law\" target=\"_blank\" aria-label=\"Moore's Law (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">Moore&#8217;s Law<\/a> played a crucial role, enhancing computing capabilities and making parallel computing feasible, albeit still with significant costs involved in training and operating large language models (LLMs).&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Culture&nbsp;<\/h3>\n\n\n\n<p>The ubiquity of smartphones accustomed us to algorithms in our daily lives, from navigation to recommendations, paving the way for AI&#8217;s acceptance.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Corpus&nbsp;<\/h3>\n\n\n\n<p>The internet provided an unprecedented repository of digitized text, crucial for training LLMs, albeit not without controversy regarding data usage.&nbsp;<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Conversation&nbsp;<\/h3>\n\n\n\n<p>While less than one-half of one percent of all people on earth know how to code, we all begin acquiring language skills at around six months of age. Our innate language skills made language-based AI particularly appealing, leading to rapid adoption and viral growth.&nbsp;&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"The_Final_Catalysts_Courage_and_Cash\"><\/span>The Final Catalysts: Courage and Cash&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Starting in 2016, a combination of courage and financial backing led researchers to scale neural networks to unprecedented levels. The launch of GPT-4 in March 2023 epitomized this trend, showing that larger models could reach beyond their remarkable linguistic abilities and display evidence of careful reasoning.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"A_Journey_of_Incremental_Advances_and_Bold_Leaps\"><\/span>A Journey of Incremental Advances and Bold Leaps&nbsp;<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The history of AI is not just about technological advancements but also about cultural shifts, economic factors, and human curiosity and adaptability. From the early days of neural networks and the creation of the (daunting) Turing Test to the era of ChatGPT, AI&#8217;s journey is a tapestry of incremental advances, bold leaps, and well-intentioned missteps.\u00a0<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p>Time will tell as to whether large language models will herald a new age for AI.<\/p>\n<\/blockquote>\n\n\n\n<p>As we look to the future, it\u2019s important to remember that, in some ways, we\u2019ve been here before \u2013 at least we thought so at the time. Here are some examples.&nbsp;&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The term \u201crobots\u201d and a warning of their dangers first appeared in \u201cR.U.R.\u201d, a play by Czech author Karel \u010capek in 1920.&nbsp;&nbsp;<\/li>\n\n\n\n<li>In 1965, Nobel Laureate Economist Herb Simon \u2013 often cited as one of a handful of theoreticians who paved the way for AI \u2013 warned that within 20 years, machines would be capable of any task performed by humans.&nbsp;&nbsp;<\/li>\n\n\n\n<li>Five years later, Marvin Minsky (another AI trailblazer) claimed that we were less than a decade away from a machine equal to humans in intelligence.&nbsp;&nbsp;<\/li>\n\n\n\n<li>Five- and ten-year forecasts for AI throughout the aughts and teens were almost unanimous in their optimism about trillion-dollar productivity improvements, but those predictions proved overblown.\u00a0\u00a0<\/li>\n<\/ul>\n\n\n\n<p>Time will tell as to whether LLMs will herald a new age for AI, where each of us has constant access to a hyper-efficient, empathetic, and tireless personal assistant, physician, and life coach. Though we seem closer than ever, there are real challenges around compute cost, compute speed, hallucinations, and accuracy.&nbsp;&nbsp;<\/p>\n\n\n\n<p>The only certainty is the ongoing race to build the AI we\u2019ve been promised for over a century will not be boring.&nbsp;<\/p>\n\n\n\n<p><strong>Read more on AI from Dr. Sonnenblick:<\/strong>&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/blog.planview.com\/the-revolution-is-here-generative-ai-and-project-management\/\" class=\"ek-link\">The Revolution is Here: Generative AI and Project Management<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/blog.planview.com\/our-ai-strategy-and-a-blueprint-for-yours\/\" class=\"ek-link\">Our AI Strategy (and a Blueprint for Yours)<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/blog.planview.com\/trends-in-ai-should-you-view-data-as-a-product\/\" target=\"_blank\" aria-label=\"Trends in AI: Should You View Data as a Product? (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">Trends in AI: Should You View Data as a Product?<\/a>&nbsp;<\/li>\n<\/ul>\n\n\n\n<p><strong>Catch what Planview\u2019s CTO, Dr. Mik Kersten, says about Planview\u2019s Copilot capabilities and productivity with AI:<\/strong>&nbsp;<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/blog.planview.com\/announcing-planview-copilot-accelerate-transformation-and-action-data-driven-strategic-decision-making\/\" target=\"_blank\" aria-label=\"Announcing Planview Copilot: Accelerate Transformation and Action Data-Driven Strategic Decision-Making (opens in a new tab)\" rel=\"noreferrer noopener\" class=\"ek-link\">Announcing Planview Copilot: Accelerate Transformation and Action Data-Driven Strategic Decision-Making<\/a>&nbsp;<\/li>\n\n\n\n<li><a aria-label=\"Productivity, AI, and the Future of Digital Connected Work (opens in a new tab)\" href=\"https:\/\/blog.planview.com\/productivity-ai-and-the-future-of-digital-connected-work\/\" target=\"_blank\" rel=\"noreferrer noopener\" class=\"ek-link\">Productivity, AI, and the Future of Digital Connected Work<\/a><span style=\"font-size: medium; white-space-collapse: collapse;\"><\/span><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>It took AI more than 80 years to become an overnight success. Planview&#8217;s Chief Data Scientist, Dr. Rich Sonnenblick, explores how the early versions of AI matured to today&#8217;s innovations, like ChatGPT, and why it didn\u2019t happen sooner.<\/p>\n","protected":false},"author":242,"featured_media":23514,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_editorskit_title_hidden":false,"_editorskit_reading_time":0,"_editorskit_is_block_options_detached":false,"_editorskit_block_options_position":"{}","footnotes":""},"categories":[9582,477],"tags":[],"class_list":["post-23351","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","category-vision-trends"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.8 (Yoast SEO v26.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>A Brief History of AI: From Neural Networks to ChatGPT<\/title>\n<meta name=\"description\" content=\"Get up to speed quickly on AI\u2019s 80-plus-year journey to the spotlight from Planview\u2019s Chief Data Scientist, Dr. Rich Sonnenblick.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/blog.planview.com\/a-brief-history-of-ai-from-neural-networks-to-chatgpt\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A Brief History of AI: From Neural Networks to ChatGPT\" \/>\n<meta property=\"og:description\" content=\"Get up to speed quickly on AI\u2019s 80-plus-year journey to the spotlight from Planview\u2019s Chief Data Scientist, Dr. Rich Sonnenblick.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/blog.planview.com\/a-brief-history-of-ai-from-neural-networks-to-chatgpt\/\" \/>\n<meta property=\"og:site_name\" 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