Sterling Proffer

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

I suggested that Substack’s day of reckoning may still lie ahead. The bigger Substack gets, the more ideologically diverse its author pool becomes, the greater the chances for highly inflammatory, potentially harmful content.

There is such urgency in the multitude of crises we face, it can make it hard to remember that in fact it is urgency thinking (urgent constant unsustainable growth) that got us to this point, and that our potential success lies in doing deep, slow, intentional work.