{"id":15243,"date":"2023-08-02T16:54:07","date_gmt":"2023-08-02T11:24:07","guid":{"rendered":"https:\/\/www.vue.ai\/blog\/?p=15243"},"modified":"2024-05-29T15:06:58","modified_gmt":"2024-05-29T09:36:58","slug":"the-degeneration-of-generative-ai","status":"publish","type":"post","link":"https:\/\/www.vue.ai\/blog\/ai-transformation\/the-degeneration-of-generative-ai\/","title":{"rendered":"The degeneration of Generative AI"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_65 counter-hierarchy ez-toc-counter ez-toc-transparent ez-toc-container-direction\">\n<p class=\"ez-toc-title\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-69e849d12684c\" class=\"ez-toc-cssicon-toggle-label\"><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><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-69e849d12684c\" checked aria-label=\"Toggle\" \/><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:\/\/www.vue.ai\/blog\/ai-transformation\/the-degeneration-of-generative-ai\/#backstory-incoming\" title=\"Backstory incoming\">Backstory incoming<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.vue.ai\/blog\/ai-transformation\/the-degeneration-of-generative-ai\/#cue-the-confetti-its-generative-ai-time\" title=\"Cue the confetti, it\u2019s Generative AI time\">Cue the confetti, it\u2019s Generative AI time<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.vue.ai\/blog\/ai-transformation\/the-degeneration-of-generative-ai\/#digital-incest\" title=\"Digital incest\">Digital incest<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.vue.ai\/blog\/ai-transformation\/the-degeneration-of-generative-ai\/#malignancys-debut-a-grim-tango\" title=\"Malignancy\u2019s debut: A grim tango\">Malignancy\u2019s debut: A grim tango<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n<span class=\"rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Reading Time: <\/span> <span class=\"rt-time\">4<\/span> <span class=\"rt-label rt-postfix\">minutes<\/span><\/span>\n<p>A python snaking around to chew its own tail. That\u2019s the late nineteenth-century daydream the German chemist August Kekul\u00e9<strong> <\/strong>had, while contemplating interconnectivity amongst the six carbon atoms in the backbone of the benzene molecule.<\/p>\n\n\n\n<p>Something very similar is happening in the AI space today: Python (of the computer code kind) is at play in the AI-eat-AI world. While Generative Artificial Intelligence has enabled AI models to create remarkably authentic and creative outputs in art, music and human-like text generation, the decorations are beginning to undrape. Degeneration of Generative AI, aided by model collapse is here. Any mishandling could kill the tech\u2019s potential; expertise is absolutely essential.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"backstory-incoming\"><\/span><strong><strong>Backstory incoming<\/strong><\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>AI is quite an all-encompassing term. Machine learning \u2013 empowering computer systems with the ability to learn from examples &#8211; is a major component of AI today. Machines that are programmed to learn from examples are called neural networks. One chief mode of learning for machines is the provision of plenty of examples to learn from. By watching several well-tagged images of an automobile, the network learns to distinguish the defining features of an automobile vs the rest, in an image.&nbsp;<\/p>\n\n\n\n<p>Language models are another type of neural network trained on large volumes of text so they are able to predict what word is statistically likely to come next. ChatGPT &#8211; the beloved baby of the Generative AI tribe \u2013 is trained on about 45 terabytes of text, roughly one fourth the Library of Congress.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"cue-the-confetti-its-generative-ai-time\"><\/span><strong>Cue the confetti, it\u2019s Generative AI time<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Generative AI describes algorithms that aid in the generation of content: text, image, audio, video, code etc. A generative model takes what it has learned from the examples it\u2019s been fed and creates something entirely new based on that information: hence the word \u201cgenerative!\u201d Large language models (LLMs) are one type of generative AI since they generate novel combinations of text in the form of natural-sounding language. OpenAI\u2019s ChatGPT and Alphabet\u2019s Bard were originally trained using predominantly human-generated text scraped from the Internet, and fine tuned using further human input<\/p>\n\n\n\n<p>But, can quality content be created in such a reductionist manner, by mimicking \u201cpatterns and relationships between different types of data?\u201d Content that is generated as an average of its mathematical inputs will be just that: average. Reason why music, movies and other creative media are flush with me-too content, imitating industry hits in a formulaic fashion; they all look and feel about the same. Even as the replication of a blockbuster authenticates the aspiration and longing to produce a hit, somewhere away from the radar\u2019s gaze, innovative and emotion-evoking content breaks through to be a pack leader. The rest just jump on to the bandwagon to perpetuate the cycle.&nbsp;<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"digital-incest\"><\/span><strong>Digital incest<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Increasingly, online content is being created by the AI models themselves, leading to (1) the production of inaccurate data and content and (2) the feeding of this incorrect data, for training future models. When AI models learn from machine-generated rather than human-created data, <a href=\"https:\/\/arxiv.org\/pdf\/2305.17493v2.pdf\">major degradation happens within just a few iterations<\/a>, even when some of the original data is preserved, reports a recent European study. Errors in optimization, limited models and finite data lead to the low-quality synthetic data. Over time, mistakes snowball, distorting models&#8217; perception of reality.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"512\" src=\"https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/08\/Wordpress-quote-1120x560-1-1024x512.jpg\" alt=\"\" class=\"wp-image-15257\" srcset=\"https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/08\/Wordpress-quote-1120x560-1-1024x512.jpg 1024w, https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/08\/Wordpress-quote-1120x560-1-300x150.jpg 300w, https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/08\/Wordpress-quote-1120x560-1-768x384.jpg 768w, https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/08\/Wordpress-quote-1120x560-1-150x75.jpg 150w, https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/08\/Wordpress-quote-1120x560-1.jpg 1120w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Benzene whose cyclic structure Kekul\u00e9\u2019s snake-eats-its-tail dream inspired to elucidate, was found to be a cancer-causing agent. The AI-eat-AI metastasis that\u2019s beginning to play out now is just as carcinogenic to creativity, if not monitored and mentored.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"malignancys-debut-a-grim-tango\"><\/span><strong>Malignancy\u2019s debut: A grim tango<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Studies from Stanford and UC Berkeley have <a href=\"https:\/\/arxiv.org\/pdf\/2307.09009.pdf\">exposed the model drift<\/a> that\u2019s causing a stark overall decline in ChatGPT\u2019s abilities \u2013 in March 2023 vs June 2023. The performance and behavior of GPT-3.5 and GPT-4 displayed huge variations in solving math problems, answering sensitive questions, generating executable programming codes and providing visual reasoning.<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"714\" src=\"https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/08\/ChatGPT-3.5-vs-4.0-1024x714.png\" alt=\"\" class=\"wp-image-15592\" srcset=\"https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/08\/ChatGPT-3.5-vs-4.0-1024x714.png 1024w, https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/08\/ChatGPT-3.5-vs-4.0-300x209.png 300w, https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/08\/ChatGPT-3.5-vs-4.0-768x536.png 768w, https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/08\/ChatGPT-3.5-vs-4.0-1536x1071.png 1536w, https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/08\/ChatGPT-3.5-vs-4.0-2048x1428.png 2048w, https:\/\/www.vue.ai\/blog\/wp-content\/uploads\/2023\/08\/ChatGPT-3.5-vs-4.0-150x105.png 150w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p><strong>AI\u2019s redemption dance<\/strong><br>Multiple approaches can be envisioned,&nbsp; to solve this problem in training LLMs. The <em>first-mover advantage<\/em> approach stresses that access to the original human-generated data source be preserved. The use of data tainted with errors infuses flaws into models&#8217; learning processes, resulting in a skewed understanding of reality. As time progresses, these misinterpretations amplify, enfeebling the utility of AI \u2013 a thought that resonates deeply with our core beliefs and practices at Vue.ai.<\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube video-container wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Data cleaning vs data generation\" width=\"1778\" height=\"1000\" src=\"https:\/\/www.youtube.com\/embed\/uiHkjZ8z8Ss?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<p>Differentiating AI-generated data from human-produced data is difficult. Hence, a <em>community-wide coordination<\/em> approach must also be considered to ensure that the different entities involved in LLM creation and deployment share the information needed to determine the source of data. It\u2019s also important to ensure that the minority groups from the original data are fairly represented in subsequent datasets, not merely in terms of quantity, but also in terms of their distinctive attributes.&nbsp;<\/p>\n\n\n\n<p>The shadows of model collapse loom large as AI models devour machine-generated content. Robust data collection, accurate annotation and community-wide coordination are urgent to fend off the haunting abyss and salvage this transformative technology.<\/p>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">Reading Time: <\/span> <span class=\"rt-time\">4<\/span> <span class=\"rt-label rt-postfix\">minutes<\/span><\/span> A python snaking around to chew its own tail. That\u2019s the late nineteenth-century daydream the German chemist August Kekul\u00e9 had, while contemplating interconnectivity amongst the six carbon atoms in the backbone of the benzene molecule. Something very similar is happening in the AI space today: Python (of the computer code kind) is at play in  &#8230;<\/p>\n","protected":false},"author":23,"featured_media":15340,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1496,143],"tags":[1505,1506],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.6 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>The Degeneration Of Generative AI | Vue.ai<\/title>\n<meta name=\"description\" content=\"Degeneration of Generative AI, aided by model collapse is here. 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