{"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":"Ted as a Vector: Probability\u2019s Hidden Linearity - Artemis","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"UnvzALZsIK\"><a href=\"https:\/\/modelos.aipublica.com.br\/artemis2\/ted-as-a-vector-probability-s-hidden-linearity\/\">Ted as a Vector: Probability\u2019s Hidden Linearity<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/modelos.aipublica.com.br\/artemis2\/ted-as-a-vector-probability-s-hidden-linearity\/embed\/#?secret=UnvzALZsIK\" width=\"600\" height=\"338\" title=\"&#8220;Ted as a Vector: Probability\u2019s Hidden Linearity&#8221; &#8212; Artemis\" data-secret=\"UnvzALZsIK\" 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":"Probability and linear algebra converge in surprising ways when examined through the lens of sensory systems\u2014nowhere clearer than in the biological computation of human vision. At the heart of this convergence lies a conceptual vector, not personified as Ted, but abstracted as a mathematical representation encoding probabilistic sensory responses. This vector, grounded in real-world stimuli, [&hellip;]"}