<?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/1fab83352b6940239b1441a3161d3792&quot; frameborder=&quot;0&quot; width=&quot;1340&quot; height=&quot;1005&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1005</height><width>1340</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1005</thumbnail_height><thumbnail_width>1340</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/1fab83352b6940239b1441a3161d3792-b489c5279b330a38.gif</thumbnail_url><duration>292.809</duration><title>Exploring AI-Powered News Summarization and Technical Insights 📰</title><description>In this video, I walk you through our smart news reader app that utilizes AI to summarize discussions and provide insights on various topics. I explain the main features, including sorting news by categories and accessing comments for deeper engagement. We’re using two models, Jimmy and Grog, to generate summaries, and I discuss our tech stack, which includes React, Express, and PostgreSQL running in Docker. I also highlight the importance of efficient comment fetching and our fallback strategies using Elvolia and Firebase. Please take a moment to explore the app and provide any feedback on your experience.</description></oembed>