{"id":5327,"date":"2026-08-03T16:09:04","date_gmt":"2026-08-03T16:09:04","guid":{"rendered":"https:\/\/futureknowledge.in\/?p=5327"},"modified":"2026-08-03T16:09:04","modified_gmt":"2026-08-03T16:09:04","slug":"alibaba-unveils-its-most-capable-ai-model-to-date-not-far-behind-moonshots-in-size","status":"publish","type":"post","link":"https:\/\/futureknowledge.in\/?p=5327","title":{"rendered":"Alibaba unveils its most capable AI model to date, not far behind Moonshot&#039;s in size"},"content":{"rendered":"<p>Qwen3.8-Max has 2.4 trillion parameters, the numerical settings a \u200cmodel \u2060learns from data and uses to recognise patterns, generate answers, \u2060and carry out tasks<\/p>\n<p><em>Source: <a href='https:\/\/www.thehindu.com\/sci-tech\/technology\/alibaba-unveils-its-most-capable-ai-model-to-date-not-far-behind-moonshots-in-size\/article71300120.ece' target='_blank'>Read the original article on www.thehindu.com<\/a><\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Qwen3.8-Max has 2.4 trillion parameters, the numerical settings a \u200cmodel \u2060learns from data and uses to recognise patterns, generate answers, \u2060and carry out tasks Source: Read the original article on www.thehindu.com<\/p>\n","protected":false},"author":1,"featured_media":5328,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[4,3],"tags":[],"class_list":["post-5327","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-important","category-technology"],"_links":{"self":[{"href":"https:\/\/futureknowledge.in\/index.php?rest_route=\/wp\/v2\/posts\/5327","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/futureknowledge.in\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/futureknowledge.in\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/futureknowledge.in\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/futureknowledge.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5327"}],"version-history":[{"count":0,"href":"https:\/\/futureknowledge.in\/index.php?rest_route=\/wp\/v2\/posts\/5327\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/futureknowledge.in\/index.php?rest_route=\/wp\/v2\/media\/5328"}],"wp:attachment":[{"href":"https:\/\/futureknowledge.in\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5327"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/futureknowledge.in\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5327"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/futureknowledge.in\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5327"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}