<?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/087831941f034e0fbcfd56411328298c&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/087831941f034e0fbcfd56411328298c-00001.gif</thumbnail_url><duration>821</duration><title>What Does It Mean to be Smart? — A Simple Visual Model of Knowledge</title><description>Knowledge represents relative domain expertise and accumulates over time as a function of the rate at which we learn relative to the decay rate of knowledge. Consequently, we can be &quot;smart&quot; in different ways over time: we can be highly productive learners, we can put a lot of effort into learning, we can have accumulated domain expertise over time, and we can be smart in how we engage in praxis—the application of knowledge. Ironically, the half-life of domain knowledge, which is often inversely related to our collective knowledge, can make us, as individuals, less smart.</description></oembed>