Single neurons are useless In AI and machine learning, one neuron only builds a tiny fragment of a function. The real behavior appears when layers combine their outputs. Each unit applies a simple transformation. Alone it cannot model anything meaningful. But stack them and complex patterns suddenly emerge. Not because any neuron understands the data. Because the composition creates a function no single part can see. So where does the actual intelligence live in the network? Comment WAIT if this