{"id":517,"date":"2024-06-01T21:44:59","date_gmt":"2024-06-02T02:44:59","guid":{"rendered":"https:\/\/ozer.gt\/log\/?p=517"},"modified":"2024-07-17T18:01:26","modified_gmt":"2024-07-17T23:01:26","slug":"the-ai-revolution-is-already-losing-steam","status":"publish","type":"post","link":"https:\/\/ozer.gt\/log\/2024\/06\/01\/the-ai-revolution-is-already-losing-steam\/","title":{"rendered":"The AI revolution is already losing steam"},"content":{"rendered":"<blockquote><p>These models work by digesting huge volumes of text, and it\u2019s undeniable that up to now, simply adding more has led to better capabilities. But a major barrier to continuing down this path is that companies have already trained their AIs on more or less the entire internet, and are running out of additional data to hoover up. There aren\u2019t 10 more internets\u2019 worth of human-generated content for today\u2019s AIs to inhale.<\/p><\/blockquote>\n<p>We need a difference in kind, not in degree. Existing language models are incapable of learning cause-effect relationships, and adding more data won&#8217;t change that.<\/p>\n<p><a href=\"https:\/\/www.wsj.com\/tech\/ai\/the-ai-revolution-is-already-losing-steam-a93478b1\">Source<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>These models work by digesting huge volumes of text, and it\u2019s undeniable that up to now, simply adding more has led to better capabilities. But a major barrier to continuing down this path is that companies have already trained their AIs on more or less the entire internet, and are running out of additional data [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"cybocfi_hide_featured_image":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-517","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/posts\/517","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/comments?post=517"}],"version-history":[{"count":2,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/posts\/517\/revisions"}],"predecessor-version":[{"id":522,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/posts\/517\/revisions\/522"}],"wp:attachment":[{"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/media?parent=517"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/categories?post=517"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ozer.gt\/log\/wp-json\/wp\/v2\/tags?post=517"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}