{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/087831941f034e0fbcfd56411328298c\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/087831941f034e0fbcfd56411328298c-00001.gif","duration":821,"title":"What Does It Mean to be Smart? — A Simple Visual Model of Knowledge","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 \"smart\" 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."}