{"id":13734,"date":"2024-12-16T08:43:02","date_gmt":"2024-12-16T13:43:02","guid":{"rendered":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=13734"},"modified":"2024-12-16T08:43:02","modified_gmt":"2024-12-16T13:43:02","slug":"ai-optimism-vs-skepticism-bridging-the-gap-between-hype-and-practicality-2","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/ai-optimism-vs-skepticism-bridging-the-gap-between-hype-and-practicality-2\/13734\/","title":{"rendered":"AI Optimism vs. Skepticism: Bridging the Gap Between Hype and Practicality"},"content":{"rendered":"Originally published in GenAI: More Than You Asked For, December 15, 2024. This week, Casey Newton published an article where he challenges AI skeptics for minimizing AI.[1] He argues that skepticism concentrates too heavily on present limitations instead of the technology&#8217;s broader potential. He specifically warns against reducing AI criticism to unfounded negativity, calling out figures like Gary Marcus and others. He writes, \u201cWhat I found in the criticism was a near-total unwillingness to acknowledge that generative Al can do anything good or useful or to acknowledge that it has improved significantly and rapidly with successive generations.\u201d Gary <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/ai-optimism-vs-skepticism-bridging-the-gap-between-hype-and-practicality-2\/13734\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Originally published in GenAI: More Than You Asked For, December 15, 2024. This week, Casey Newton published an article where he challenges AI skeptics for minimizing AI.[1] He argues that skepticism concentrates too heavily on present limitations instead of the technology&#8217;s broader potential. He specifically warns against reducing AI criticism to unfounded negativity, calling out [&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":[11,48],"tags":[],"class_list":["post-13734","post","type-post","status-publish","format-standard","hentry","category-industry-news","category-left-hand"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13734","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=13734"}],"version-history":[{"count":1,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13734\/revisions"}],"predecessor-version":[{"id":13735,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/13734\/revisions\/13735"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=13734"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=13734"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=13734"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}