<?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/3c08a98b041745b391cdcecf7b0321b1&quot; frameborder=&quot;0&quot; width=&quot;1662&quot; height=&quot;1246&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1246</height><width>1662</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1246</thumbnail_height><thumbnail_width>1662</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/3c08a98b041745b391cdcecf7b0321b1-a1dcaead31fd6e90.gif</thumbnail_url><duration>206.02</duration><title>Exploring OpenAI&apos;s Collaboration with OSCAR in Healthcare 🤖</title><description>In this video, I discuss our collaboration with OSCAR in the healthcare sector and how we are testing AI visibility for service providers. We are analyzing a blog post that highlights our partnership, extracting key selling points, and generating questions to assess how different language models, specifically GPT-4 and GPT-5, recognize our brand. Currently, we have implemented a minimum viable product (MVP) that ingests one blog post and creates three questions for comparison. I am waiting for the results, which may take some time, and I encourage you to stay tuned for the analysis breakdown. Please let me know if you have any questions or insights as we move forward.</description></oembed>