The layer approach has served the AI field well—but it also has a drawback. If you want to model anything that transforms continuously over time, you also have to chunk it up into discrete steps. In practice, if we returned to the health example, that would mean grouping your medical records into finite periods like years or months. You could see how this would be inexact. If you went to the doctor on January 11 and again on November 16, the data from both visits would be grouped together under the same year.
