{"id":13285,"date":"2023-12-08T13:39:25","date_gmt":"2023-12-08T18:39:25","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13285"},"modified":"2023-12-08T13:39:25","modified_gmt":"2023-12-08T18:39:25","slug":"the-real-research-behind-the-wild-rumors-about-openais-q-project","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-real-research-behind-the-wild-rumors-about-openais-q-project\/13285\/","title":{"rendered":"The Real Research Behind the Wild Rumors About OpenAI\u2019s Q* Project"},"content":{"rendered":"Originally published in Understanding AI, Dec 7, 2023.\u00a0 On November 22, a few days after OpenAI fired (and then re-hired) CEO Sam Altman,\u00a0The Information reported\u00a0that OpenAI had made a technical breakthrough that would allow it to \u201cdevelop far more powerful artificial intelligence models.\u201d Dubbed Q* (and pronounced \u201cQ star\u201d) the new model was \u201cable to solve math problems that it hadn\u2019t seen before.\u201d Reuters\u00a0published a similar story, but details were vague. Both outlets linked this supposed breakthrough to the board\u2019s decision to fire Altman. Reuters reported that several OpenAI staffers sent the board a letter \u201cwarning of a <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/the-real-research-behind-the-wild-rumors-about-openais-q-project\/13285\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in Understanding AI, Dec 7, 2023.\u00a0 On November 22, a few days after OpenAI fired (and then re-hired) CEO Sam Altman,\u00a0The Information reported\u00a0that OpenAI had made a technical breakthrough that would allow it to \u201cdevelop far more powerful artificial intelligence models.\u201d Dubbed Q* (and pronounced \u201cQ star\u201d) the new model was \u201cable to [&hellip;]<\/p>\n","protected":false},"author":72,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11,48],"tags":[879,368,243],"class_list":["post-13285","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand","tag-ai","tag-artificial-intelligence","tag-machine-learning"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13285","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\/72"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=13285"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13285\/revisions"}],"predecessor-version":[{"id":13287,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13285\/revisions\/13287"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13285"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13285"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13285"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}