{"id":1244719,"date":"2023-04-17T09:42:28","date_gmt":"2023-04-17T04:12:28","guid":{"rendered":"https:\/\/trak.in\/stories\/?p=1244719"},"modified":"2023-04-17T09:43:10","modified_gmt":"2023-04-17T04:13:10","slug":"700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water","status":"publish","type":"post","link":"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/","title":{"rendered":"700,000 Litres Of Water Was Probably Used To Train Chat GPT! 20-25 Questions Consume 500ml Of Water?"},"content":{"rendered":"\n<p>The ChatGPT has been the cynosure of the year as it gained prominence worldwide last year amongst billions of users for its uncanny ability to respond to a range of user queries with human-like language.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1000\" height=\"465\" src=\"https:\/\/trak.in\/stories\/wp-content\/uploads\/2023\/04\/Untitled-design-12.png\" alt=\"700,000 Litres Of Water Was Probably Used To Train Chat GPT! 20-25 Questions Consume 500ml Of Water?\" class=\"wp-image-1244728\" srcset=\"https:\/\/trak.in\/stories\/wp-content\/uploads\/2023\/04\/Untitled-design-12.png 1000w, https:\/\/trak.in\/stories\/wp-content\/uploads\/2023\/04\/Untitled-design-12-300x140.png 300w, https:\/\/trak.in\/stories\/wp-content\/uploads\/2023\/04\/Untitled-design-12-768x357.png 768w\" sizes=\"auto, (max-width: 1000px) 100vw, 1000px\" \/><\/figure>\n\n\n\n<p>Within a short time span, it has demonstrated the ability to summarise research studies and answer logical questions. It has also cracked business school and medical exams meant for college students.<\/p>\n\n\n\n<p>The tech giant has partnered with ChatGPT creator OpenAI and invested $10bn in the company.<\/p>\n\n\n\n<p><strong>\u201cExtremely large\u201d Water Consumption by AI Models: Researchers<\/strong><\/p>\n\n\n\n<p>However, this time around it is not in the news for its technological prowess, but the <a href=\"https:\/\/www.independent.co.uk\/tech\/chatgpt-data-centre-water-consumption-b2318972.html?utm_campaign=fullarticle&amp;utm_medium=referral&amp;utm_source=inshorts\">\u201cextremely large\u201d<\/a> water consumption of data centres used to run it<\/p>\n\n\n\n<p>As per the experts it is doing all of what it can, but on the flipside it is consuming staggering amounts of water.<\/p>\n\n\n\n<p>As per the scientists, including those from the University of California Riverside in the US, there was a previous study that shed light on the carbon footprint of such AI models, however the water consumption has somehow \u201cremained under the radar\u201d.<\/p>\n\n\n\n<p>As per a new, yet-to-be peer-reviewed research, posted as a pre-print in arXiv, estimates that a conversation of about 20-50 questions with the AI chatbot in a single system may \u201cdrink\u201d a \u201c500ml bottle of water\u201d.<\/p>\n\n\n\n<p>For this research, a framework to estimate the amount of clean freshwater consumed for generating electricity to power data centre servers and for cooling servers to run AI models was developed.<\/p>\n\n\n\n<p>As per the scientists, in the training of GPT-3 alone, Microsoft may have consumed a stunning 700,000 litres (185,000 gallons) of water. Notably, this water is enough to produce 370 BMW cars.<\/p>\n\n\n\n<p>As per the scientists, its not just the ChatGPT by OpenAI, but also other AI models like Google\u2019s LaMDA which can consume a \u201cstunning\u201d amount of water in the order of millions of litres.<\/p>\n\n\n\n<p><strong>Researchers Beseech Responsible Water Consumption in the light of social responsibility &amp; Global Water Shortages<\/strong><\/p>\n\n\n\n<p>In the light of global water shortages, the researchers urged companies running AI models to \u201ctake social responsibility\u201d and address their own water footprint.<\/p>\n\n\n\n<p>The study read that \u201cAI models can, and also should, take social responsibility and lead by example in the collective efforts to combat the global water scarcity challenge by cutting their own water footprint\u201d.<\/p>\n\n\n\n<p>It mentioned that \u201cWhile a 500ml bottle of water might not seem too much, the total combined water footprint for inference is still extremely large, considering ChatGPT\u2019s billions of users\u201d.<\/p>\n\n\n\n<p>The newly-launched GPT-4 AI system which has a larger model size, as per the reseachers, shall have the water consumption numbers increased by \u201cmultiple times\u201d for the newly-launched GPT-4 AI system which has a larger model size.<\/p>\n\n\n\n<p>The estimated has been done by scientists, however it is to be mentioned that there is hardly any public data available to reasonably estimate the water footprint for GPT-4.<\/p>\n\n\n\n<p>Hence, scientists have also called upon for the increased transparency of the water footprint of AI models, including better disclosure of information about operational data and the effectiveness of water consumption during the runtime of such systems.<\/p>\n\n\n\n<p>Researchers concluded that \u201cAI models\u2019 water footprint can no longer stay under the radar \u2013 water footprint must be addressed as a priority as part of the collective efforts to combat global water challenges\u201d.<\/p>\n\n\n\n<p>While all of us have been going gaga about the technology, this finding is quite alarming and worrisome, as tensions of global water shortages rise.<\/p>\n\n\n\n<p>Also, it is important that humans find a better way of coexistence with the nature to not raise a havoc.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.zdnet.com\/article\/what-is-chatgpt-and-why-does-it-matter-heres-everything-you-need-to-know\/\">Image Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The ChatGPT has been the cynosure of the year as it gained prominence worldwide last year amongst billions of users for its uncanny ability to respond to a range of user queries with human-like language. Within a short time span, it has demonstrated the ability to summarise research studies and answer logical questions. It has [&hellip;]<\/p>\n","protected":false},"author":26,"featured_media":1244728,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[22],"tags":[584,1381],"class_list":["post-1244719","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-chatgpt","tag-open-ai"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>700,000 Litres Of Water Was Probably Used To Train Chat GPT! 20-25 Questions Consume 500ml Of Water? - Trak.in - Indian Business of Tech, Mobile &amp; Startups<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"700,000 Litres Of Water Was Probably Used To Train Chat GPT! 20-25 Questions Consume 500ml Of Water? - Trak.in - Indian Business of Tech, Mobile &amp; Startups\" \/>\n<meta property=\"og:description\" content=\"The ChatGPT has been the cynosure of the year as it gained prominence worldwide last year amongst billions of users for its uncanny ability to respond to a range of user queries with human-like language. Within a short time span, it has demonstrated the ability to summarise research studies and answer logical questions. It has [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/\" \/>\n<meta property=\"og:site_name\" content=\"Trak.in - Indian Business of Tech, Mobile &amp; Startups\" \/>\n<meta property=\"article:published_time\" content=\"2023-04-17T04:12:28+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-04-17T04:13:10+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/trak.in\/stories\/wp-content\/uploads\/2023\/04\/Untitled-design-12.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"465\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"Rohit Kulkarni\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Rohit Kulkarni\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/\",\"url\":\"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/\",\"name\":\"700,000 Litres Of Water Was Probably Used To Train Chat GPT! 20-25 Questions Consume 500ml Of Water? - Trak.in - Indian Business of Tech, Mobile &amp; Startups\",\"isPartOf\":{\"@id\":\"https:\/\/trak.in\/stories\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/trak.in\/stories\/wp-content\/uploads\/2023\/04\/Untitled-design-12.png\",\"datePublished\":\"2023-04-17T04:12:28+00:00\",\"dateModified\":\"2023-04-17T04:13:10+00:00\",\"author\":{\"@id\":\"https:\/\/trak.in\/stories\/#\/schema\/person\/4486219a5d31e657b529e6e874cead8b\"},\"breadcrumb\":{\"@id\":\"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/#primaryimage\",\"url\":\"https:\/\/trak.in\/stories\/wp-content\/uploads\/2023\/04\/Untitled-design-12.png\",\"contentUrl\":\"https:\/\/trak.in\/stories\/wp-content\/uploads\/2023\/04\/Untitled-design-12.png\",\"width\":1000,\"height\":465},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/trak.in\/stories\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"700,000 Litres Of Water Was Probably Used To Train Chat GPT! 20-25 Questions Consume 500ml Of Water?\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/trak.in\/stories\/#website\",\"url\":\"https:\/\/trak.in\/stories\/\",\"name\":\"Trak.in - Indian Business of Tech, Mobile &amp; Startups\",\"description\":\"Trak.in is a popular Indian Business, Technology, Mobile &amp; Startup blog featuring trending News, views and analytical take on Technology, Business, Finance, Telecom, Mobile, startups &amp; Social Media Space\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/trak.in\/stories\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/trak.in\/stories\/#\/schema\/person\/4486219a5d31e657b529e6e874cead8b\",\"name\":\"Rohit Kulkarni\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/trak.in\/stories\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/52ba60e3a61a3517cad7b5dd6bce76c6e7a4d8b337f4240839e8737c4ab8b1bb?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/52ba60e3a61a3517cad7b5dd6bce76c6e7a4d8b337f4240839e8737c4ab8b1bb?s=96&d=mm&r=g\",\"caption\":\"Rohit Kulkarni\"},\"url\":\"https:\/\/trak.in\/stories\/author\/rohit-kulkarni\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"700,000 Litres Of Water Was Probably Used To Train Chat GPT! 20-25 Questions Consume 500ml Of Water? - Trak.in - Indian Business of Tech, Mobile &amp; Startups","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/","og_locale":"en_US","og_type":"article","og_title":"700,000 Litres Of Water Was Probably Used To Train Chat GPT! 20-25 Questions Consume 500ml Of Water? - Trak.in - Indian Business of Tech, Mobile &amp; Startups","og_description":"The ChatGPT has been the cynosure of the year as it gained prominence worldwide last year amongst billions of users for its uncanny ability to respond to a range of user queries with human-like language. Within a short time span, it has demonstrated the ability to summarise research studies and answer logical questions. It has [&hellip;]","og_url":"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/","og_site_name":"Trak.in - Indian Business of Tech, Mobile &amp; Startups","article_published_time":"2023-04-17T04:12:28+00:00","article_modified_time":"2023-04-17T04:13:10+00:00","og_image":[{"width":1000,"height":465,"url":"https:\/\/trak.in\/stories\/wp-content\/uploads\/2023\/04\/Untitled-design-12.png","type":"image\/png"}],"author":"Rohit Kulkarni","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Rohit Kulkarni","Est. reading time":"3 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/","url":"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/","name":"700,000 Litres Of Water Was Probably Used To Train Chat GPT! 20-25 Questions Consume 500ml Of Water? - Trak.in - Indian Business of Tech, Mobile &amp; Startups","isPartOf":{"@id":"https:\/\/trak.in\/stories\/#website"},"primaryImageOfPage":{"@id":"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/#primaryimage"},"image":{"@id":"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/#primaryimage"},"thumbnailUrl":"https:\/\/trak.in\/stories\/wp-content\/uploads\/2023\/04\/Untitled-design-12.png","datePublished":"2023-04-17T04:12:28+00:00","dateModified":"2023-04-17T04:13:10+00:00","author":{"@id":"https:\/\/trak.in\/stories\/#\/schema\/person\/4486219a5d31e657b529e6e874cead8b"},"breadcrumb":{"@id":"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/#primaryimage","url":"https:\/\/trak.in\/stories\/wp-content\/uploads\/2023\/04\/Untitled-design-12.png","contentUrl":"https:\/\/trak.in\/stories\/wp-content\/uploads\/2023\/04\/Untitled-design-12.png","width":1000,"height":465},{"@type":"BreadcrumbList","@id":"https:\/\/trak.in\/stories\/700000-litres-of-water-was-probably-used-to-train-chat-gpt-20-25-questions-consume-500ml-of-water\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/trak.in\/stories\/"},{"@type":"ListItem","position":2,"name":"700,000 Litres Of Water Was Probably Used To Train Chat GPT! 20-25 Questions Consume 500ml Of Water?"}]},{"@type":"WebSite","@id":"https:\/\/trak.in\/stories\/#website","url":"https:\/\/trak.in\/stories\/","name":"Trak.in - Indian Business of Tech, Mobile &amp; Startups","description":"Trak.in is a popular Indian Business, Technology, Mobile &amp; Startup blog featuring trending News, views and analytical take on Technology, Business, Finance, Telecom, Mobile, startups &amp; Social Media Space","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/trak.in\/stories\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/trak.in\/stories\/#\/schema\/person\/4486219a5d31e657b529e6e874cead8b","name":"Rohit Kulkarni","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/trak.in\/stories\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/52ba60e3a61a3517cad7b5dd6bce76c6e7a4d8b337f4240839e8737c4ab8b1bb?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/52ba60e3a61a3517cad7b5dd6bce76c6e7a4d8b337f4240839e8737c4ab8b1bb?s=96&d=mm&r=g","caption":"Rohit Kulkarni"},"url":"https:\/\/trak.in\/stories\/author\/rohit-kulkarni\/"}]}},"jetpack_featured_media_url":"https:\/\/trak.in\/stories\/wp-content\/uploads\/2023\/04\/Untitled-design-12.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/trak.in\/stories\/wp-json\/wp\/v2\/posts\/1244719","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/trak.in\/stories\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/trak.in\/stories\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/trak.in\/stories\/wp-json\/wp\/v2\/users\/26"}],"replies":[{"embeddable":true,"href":"https:\/\/trak.in\/stories\/wp-json\/wp\/v2\/comments?post=1244719"}],"version-history":[{"count":1,"href":"https:\/\/trak.in\/stories\/wp-json\/wp\/v2\/posts\/1244719\/revisions"}],"predecessor-version":[{"id":1244729,"href":"https:\/\/trak.in\/stories\/wp-json\/wp\/v2\/posts\/1244719\/revisions\/1244729"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/trak.in\/stories\/wp-json\/wp\/v2\/media\/1244728"}],"wp:attachment":[{"href":"https:\/\/trak.in\/stories\/wp-json\/wp\/v2\/media?parent=1244719"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/trak.in\/stories\/wp-json\/wp\/v2\/categories?post=1244719"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/trak.in\/stories\/wp-json\/wp\/v2\/tags?post=1244719"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}