{"id":14187,"date":"2026-06-03T02:57:34","date_gmt":"2026-06-03T06:57:34","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=14187"},"modified":"2026-06-03T03:00:11","modified_gmt":"2026-06-03T07:00:11","slug":"incoherent-agi-hype-spurs-an-industrywide-pivot-to-hybrid-ai2","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/incoherent-agi-hype-spurs-an-industrywide-pivot-to-hybrid-ai2\/14187\/","title":{"rendered":"Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI"},"content":{"rendered":"Originally published in\u00a0Forbes Recently on\u00a0The Dr. Data Show, my co-host Luba Gluhova and I\u00a0dug into the evolving discourse surrounding artificial general intelligence \u2013 and its stubborn incoherence. A recent publication by the venture capital firm Sequoia Capital projected the arrival of AGI by 2026, defining the concept simply as \u201cthe ability to figure things out.\u201d From an engineering and practical standpoint, this definition effectively only reiterates traditional, highly subjective definitions of AI. It is basically another way to say \u201ccapable of reasoning,\u201d which has long been a common, if circular, attempt to define AI. AGI was meant to <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/incoherent-agi-hype-spurs-an-industrywide-pivot-to-hybrid-ai2\/14187\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in\u00a0Forbes Recently on\u00a0The Dr. Data Show, my co-host Luba Gluhova and I\u00a0dug into the evolving discourse surrounding artificial general intelligence \u2013 and its stubborn incoherence. A recent publication by the venture capital firm Sequoia Capital projected the arrival of AGI by 2026, defining the concept simply as \u201cthe ability to figure things out.\u201d [&hellip;]<\/p>\n","protected":false},"author":13468,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3],"tags":[],"class_list":["post-14187","post","type-post","status-publish","format-standard","hentry","category-leading-stories"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/14187","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/13468"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=14187"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/14187\/revisions"}],"predecessor-version":[{"id":14190,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/14187\/revisions\/14190"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=14187"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=14187"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=14187"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}