<?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/31a9cc02a23447c6889ba8e01f89b344&quot; frameborder=&quot;0&quot; width=&quot;1728&quot; height=&quot;1296&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1296</height><width>1728</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1296</thumbnail_height><thumbnail_width>1728</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/31a9cc02a23447c6889ba8e01f89b344-7b6d652c9adab4ae.gif</thumbnail_url><duration>162.2877</duration><title>Exploring JPEG Encoding Efficiency</title><description>Hey there! In this video, I delve into the world of JPEG encoding efficiency, showcasing how a new optimizer service surpasses existing open-source encoders. I touch on the significance of compressing images effectively and the value of smaller file sizes. No specific action requested, just a fascinating exploration of JPEG optimization.</description></oembed>