Sterling Proffer

People are looking for more meaningful narratives and communities than brands can offer, and companies want to supply this “meaning demand”—but are structurally disincentivized to do so.

All modern machine-learning models are based on “neural networks”—programming which mimics the ways in which brain cells interact with each other. Their parameters describe the weights of the connections between these virtual neurons, weights the models develop through trial and error as they are “trained” to respond to specific inputs with the... See more