<?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/507649f37bc845229e2ca3f1e09b550c&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/507649f37bc845229e2ca3f1e09b550c-edfa7fd0f5f2fd30.gif</thumbnail_url><duration>180.417</duration><title>Mindful AI: Balancing Innovation and Environmental Impact 🌍</title><description>In this video, I discuss the importance of considering the environmental impact of large-scale AI systems, particularly in terms of the energy and water consumption associated with data centers. While generative AI offers benefits like speed and efficiency, these come with significant infrastructure costs that are often overlooked by everyday users. I emphasize that responsible AI use should include environmental mindfulness, urging us all to be thoughtful about how we engage with this technology. As we explore these advancements, let&apos;s remain conscious of our choices and their broader implications. I encourage you to reflect on the sustainability of the tools we use and to prioritize mindful practices in our AI interactions.</description></oembed>