"In this thought-provoking, handsomely illustrated book, Italian neurobiologist Stefano Mancuso considers the fundamental differences between plants and animals and challenges our assumptions about which is the ‘higher’ form of life.” —The Wall Street Journal “Fascinating…full of...

Confused about AI and worried about what it means for your future and the future of the world? You're not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn't, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don't work, and probably never will.

What won't we try in our quest for perfect health, beauty, and the fountain of youth? Well, just imagine a time when doctors prescribed morphine for crying infants. When liquefied gold was touted as immortality in a glass. And when strychnine - yes, that strychnine, the one used in rat poison - was dosed like Viagra. Looking back with fascination, horror, and not a little dash of dark, knowing humor, Quackery recounts the lively, at times unbelievable, history of medical misfires and malpractices.

We live in an extraordinary time. Technological advances are happening at a rate faster than our ability to understand them, and in a world that moves faster than we can imagine, we cannot afford to stand still. These advances bring efficiency and abundance - and they are profoundly deflationary. Our economic systems were built for a pre-technology era when labor and capital were inextricably linked - an era that counted on growth and inflation and an era where we made money from inefficiency.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.