{"version":"1.0","provider_name":"Artemis","provider_url":"https:\/\/modelos.aipublica.com.br\/artemis2","author_name":"Ney Barbosa","author_url":"https:\/\/modelos.aipublica.com.br\/artemis2\/author\/ney\/","title":"Big O and the Speed of Learning Patterns - Artemis","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"FZmng7FCtd\"><a href=\"https:\/\/modelos.aipublica.com.br\/artemis2\/big-o-and-the-speed-of-learning-patterns\/\">Big O and the Speed of Learning Patterns<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/modelos.aipublica.com.br\/artemis2\/big-o-and-the-speed-of-learning-patterns\/embed\/#?secret=FZmng7FCtd\" width=\"600\" height=\"338\" title=\"&#8220;Big O and the Speed of Learning Patterns&#8221; &#8212; Artemis\" data-secret=\"FZmng7FCtd\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/modelos.aipublica.com.br\/artemis2\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"Big O notation, a cornerstone of algorithm analysis, measures how computational processes scale with input size\u2014expressing growth rates rather than exact time. This principle extends naturally into cognitive science, where learning efficiency reflects how quickly new knowledge is absorbed and retained. Just as algorithms trade off speed for accuracy, human learning balances depth and speed, [&hellip;]"}