{"id":1080,"date":"2023-09-08T11:15:32","date_gmt":"2023-09-08T11:15:32","guid":{"rendered":"https:\/\/hello.inherentknowledge.org\/2024\/2023\/09\/08\/how-note-taking-ai-from-google-and-apple-complete-you\/"},"modified":"2023-09-08T11:15:32","modified_gmt":"2023-09-08T11:15:32","slug":"how-note-taking-ai-from-google-and-apple-complete-you","status":"publish","type":"post","link":"https:\/\/hello.inherentknowledge.org\/2024\/2023\/09\/08\/how-note-taking-ai-from-google-and-apple-complete-you\/","title":{"rendered":"How note-taking AI from Google and Apple complete you"},"content":{"rendered":"<p>We all take notes. Since grade school, we\u2019ve scribbled down the main points of what we\u2019re learning so we can access that information later. Suddenly, the power of note-taking is about to increase 100-fold.<\/p>\n<p>Major existing data-container products such as Box, <span>Dropbox,<\/span> Notion, and thousands of new tools now use generative AI to let you query your own data.<\/p>\n<p>Google believes this idea is great for note-taking, too. So, the company is working on something called NotebookLM (the LM stands for language model \u2014 like a large language model without the dataset being necessarily large). NotebookLM is now a beta, and you can <a href=\"https:\/\/notebooklm.google\/\" target=\"_blank\" rel=\"noopener\">get on the waitlist to try it here<\/a>.<\/p>\n<p class=\"jumpTag\"><a href=\"https:\/\/www.computerworld.com\/article\/3705912\/how-note-taking-ai-from-google-and-apple-complete-you.html#jump\">To read this article in full, please click here<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We all take notes. Since grade school, we\u2019ve scribbled down the main points of what we\u2019re learning so we can access that information later. Suddenly, the power of note-taking is about to increase 100-fold. Major existing data-container products such as Box, Dropbox, Notion, and thousands of new tools now use generative AI to let you [&hellip;]<\/p>\n","protected":false},"author":0,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1080","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hello.inherentknowledge.org\/2024\/wp-json\/wp\/v2\/posts\/1080","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hello.inherentknowledge.org\/2024\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hello.inherentknowledge.org\/2024\/wp-json\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/hello.inherentknowledge.org\/2024\/wp-json\/wp\/v2\/comments?post=1080"}],"version-history":[{"count":0,"href":"https:\/\/hello.inherentknowledge.org\/2024\/wp-json\/wp\/v2\/posts\/1080\/revisions"}],"wp:attachment":[{"href":"https:\/\/hello.inherentknowledge.org\/2024\/wp-json\/wp\/v2\/media?parent=1080"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hello.inherentknowledge.org\/2024\/wp-json\/wp\/v2\/categories?post=1080"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hello.inherentknowledge.org\/2024\/wp-json\/wp\/v2\/tags?post=1080"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}