<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/3f101707325e45b4ad714659b93c47eb&quot; frameborder=&quot;0&quot; width=&quot;1664&quot; height=&quot;1248&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1248</height><width>1664</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1248</thumbnail_height><thumbnail_width>1664</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/3f101707325e45b4ad714659b93c47eb-00001.gif</thumbnail_url><duration>3079.366666666667</duration><title>Multiverse School and Emergent Systems</title><description>In this video, I discuss the concept of emergent systems and their relevance to AI and complex adaptive systems. I explore examples such as ant colonies, traffic simulations, and machine learning algorithms. I also touch on the importance of initial conditions and feedback loops in shaping the behavior of these systems. Watch to gain insights into the fascinating world of emergent properties and their impact on various fields.</description></oembed>