Venice Doing

“Sir, I think you need to read this,’ he said, nervously handing over the mainframe’s dissertation of its own wellbeing.”
― A.R. Merrydew, Our Blue Orange

“Josh gathered his sense of injustice and faced Rodan Man-to-man, or rather, elk-to-elk, no, Netah-to-Netah.”
― Lisa Kaniut Cobb, Down in the Valley

“Her husband's visage captivated her from the first moment she saw him step out of the royal carriage a hundred years ago. How could it not? Flaminius was utterly gorgeous. But once she fell in love with him, she became happily enslaved.”
― Therisa Peimer, Taming Flame

“Value versus Cost Economists tend to focus on cost, and, as economists, we are as guilty of that as anyone. The entire premise of our first book, Prediction Machines, was that AI advances were going to dramatically reduce the cost of prediction, leading to a scale-up of its use. However, while that book suggested that the initial uses of AI would be where prediction was already occurring, either explicitly in, say, forecasting sales or the weather, or implicitly in classifying photos and language, we were mindful that the real opportunity would be the new applications and uses that were enabled when prediction costs fell low enough.”
― Ajay Agrawal, Power and Prediction: The Disruptive Economics of Artificial Intelligence