{"id":86608,"date":"2023-04-17T14:43:55","date_gmt":"2023-04-17T18:43:55","guid":{"rendered":"http:\/\/danielschristian.com\/learning-ecosystems\/?p=86608"},"modified":"2023-04-17T14:45:02","modified_gmt":"2023-04-17T18:45:02","slug":"the-mounting-human-and-environmental-costs-of-generative-ai-luccioni","status":"publish","type":"post","link":"http:\/\/danielschristian.com\/learning-ecosystems\/2023\/04\/17\/the-mounting-human-and-environmental-costs-of-generative-ai-luccioni\/","title":{"rendered":"The mounting human and environmental costs of generative AI [Luccioni]"},"content":{"rendered":"<p><a href=\"https:\/\/arstechnica.com\/gadgets\/2023\/04\/generative-ai-is-cool-but-lets-not-forget-its-human-and-environmental-costs\/\" target=\"_blank\" rel=\"nofollow noopener\"><strong>The mounting human and environmental costs of generative AI<\/strong><\/a> &#8212; from by Sasha Luccioni<br \/>\n<em>Op-ed: Planetary impacts, escalating financial costs, and labor exploitation all factor.<\/em><\/p>\n<p><a href=\"https:\/\/arstechnica.com\/gadgets\/2023\/04\/generative-ai-is-cool-but-lets-not-forget-its-human-and-environmental-costs\/\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" class=\"alignnone\" src=\"https:\/\/cdn.arstechnica.net\/wp-content\/uploads\/2023\/04\/ai-pollution-800x450.jpg\" alt=\"Abstract image of a person wearing a gas mask, reaching out to a floating brain\" width=\"100%\" height=\"100%\" \/><\/a><\/p>\n<p><em>Excerpt:<\/em><\/p>\n<p style=\"padding-left: 40px;\">Over the past few months, the field of artificial intelligence has seen rapid growth, with wave after wave of new models like Dall-E and GPT-4 emerging one after another. Every week brings the promise of new and exciting models, products, and tools. It\u2019s easy to get swept up in the waves of hype, but these shiny capabilities come at a real cost to society and the planet.<\/p>\n<p style=\"padding-left: 40px;\">Downsides include the environmental toll of mining rare minerals, the human costs of the labor-intensive process of data annotation, and the escalating financial investment required to train AI models as they incorporate more parameters.<\/p>\n<p style=\"padding-left: 40px;\">Let\u2019s look at the innovations that have fueled recent generations of these models\u2014and raised their associated costs.<\/p>\n<hr \/>\n<p><span style=\"color: #800000;\"><em>Also relevant\/see:<\/em><\/span><\/p>\n<p><a href=\"https:\/\/thebrainyacts.beehiiv.com\/p\/040-chatgpts-thirst-problem\" target=\"_blank\" rel=\"noopener\"><strong>ChatGPT is Thirsty: a mini exec briefing<\/strong><\/a> &#8212; from BrainyActs #040 | ChatGPT&#8217;s Thirst Problem<br \/>\n<em>Between the growing number of data centers + the exponential growth in consumer-grade Generative AI tools, water is becoming a scarce resource.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The mounting human and environmental costs of generative AI &#8212; from by Sasha Luccioni Op-ed: Planetary impacts, escalating financial costs, and labor exploitation all factor. Excerpt: Over the past few months, the field of artificial intelligence has seen rapid growth, with wave after wave of new models like Dall-E and GPT-4 emerging one after another. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[356,210,263,480,454],"tags":[],"class_list":["post-86608","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence-agents-llms-and-related","category-emerging-technologies","category-geography-geology","category-society","category-the-downsides-of-technology"],"_links":{"self":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/86608","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/comments?post=86608"}],"version-history":[{"count":3,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/86608\/revisions"}],"predecessor-version":[{"id":86611,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/posts\/86608\/revisions\/86611"}],"wp:attachment":[{"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/media?parent=86608"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/categories?post=86608"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/danielschristian.com\/learning-ecosystems\/wp-json\/wp\/v2\/tags?post=86608"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}