<?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/16f3351475f94dfbafe9ba850c4cf50f&quot; frameborder=&quot;0&quot; width=&quot;1790&quot; height=&quot;1342&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1342</height><width>1790</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1342</thumbnail_height><thumbnail_width>1790</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/16f3351475f94dfbafe9ba850c4cf50f-7c70446e0dfb4f55.gif</thumbnail_url><duration>157.276</duration><title>Recursive Self Improving AI, Explained in Two Years</title><description>This Loom discusses building superintelligence through recursive self-improvement in AI. The speaker notes a recent funding round of $650 million at a $4.65 billion valuation aimed at one goal: creating an AI that improves itself and goes beyond human capability, with a timeline of within about two years. They explain the concept using the scientific method, where an AI identifies its own shortcomings, builds a new version of itself, and loops that process to conduct research on itself. They also clarify how recursive self-improvement works by having the AI generate a different new version in each iteration.</description></oembed>