Alice laughed. 'One can't believe impossible things.' 'I dare say you haven't had much practice,' said the Queen... 'Why, sometimes I've believed as many as six impossible things before breakfast.' ~Lewis Carroll, Alice Through the Looking-Glass Could there be a knife that never dulls? A gun with no moving parts? A broken clock that tells time? Here, Dr. Michael Laufer and John Nolan reply, "Of course!" Through these conundrums, they show how to unleash the creative energies of the brain to solve even the knottiest enigmas. For instance, one could: Reinterpret the problem. Change the rules. Change the solution. Whether it's showering without water, driving a car without an engine, or using a computer without electricity, these are high-level challenges for breakout thinking. With this book, you'll stretch your minds and be primed to solve the next "impossible" problem before lunchtime.

"Marvelously funny and provocative."—Publishers Weekly Why do 70 percent of Americans believe in angels, while others are convinced that they were abducted by aliens? What makes people believe in improbable things when all the evidence points to the contrary? And don't almost all of us, at some time or another, engage in magical thinking?In Six Impossible Things Before Breakfast, evolutionary biologist Lewis Wolpert delves into the important and timely debate over the nature of belief, looking at its psychological foundations to discover just what evolutionary purpose it could serve. Wolpert takes us through all that science can tell us about the beliefs we feel are instinctive. He deftly explores different types of belief—those of children, of the religious, and of those suffering from psychiatric disorders—and he asks whether it is possible to live without belief, or whether it is a necessary component of a functioning society.

Religions and mythologies from around the world teach that God or gods created humans. Atheist, humanist, and materialist critics, meanwhile, have attempted to turn theology on its head, claiming that religion is a human invention. In this book, E. Fuller Torrey draws on cutting-edge neuroscience research to propose a startling answer to the ultimate question. Evolving Brains, Emerging Gods locates the origin of gods within the human brain, arguing that religious belief is a by-product of evolution. Based on an idea originally proposed by Charles Darwin, Torrey marshals evidence that the emergence of gods was an incidental consequence of several evolutionary factors. Using data ranging from ancient skulls and artifacts to brain imaging, primatology, and child development studies, this book traces how new cognitive abilities gave rise to new behaviors. For instance, autobiographical memory, the ability to project ourselves backward and forward in time, gave Homo sapiens a competitive advantage. However, it also led to comprehension of mortality, spurring belief in an alternative to death. Torrey details the neurobiological sequence that explains why the gods appeared when they did, connecting archaeological findings including clothing, art, farming, and urbanization to cognitive developments. This book does not dismiss belief but rather presents religious belief as an inevitable outcome of brain evolution. Providing clear and accessible explanations of evolutionary neuroscience, Evolving Brains, Emerging Gods will shed new light on the mechanics of our deepest mysteries.

Do you know that black holes can affect time? that Stonehenge is a giant calendar? that the Oracle Bones of the North China Plain predict the phases of the moon? that the Pyramids are giant compasses? how Jonathan Swift knew that Mars had two moons when he wrote Gulliver's Travels? that the effects of black holes are described i

Do any moral values underlie the foundations of law and society in America? In Justice as Integrity, David Fagelson argues that morality is indeed a part of the idea of law. Examining controversies of speech and privacy, he does not ignore the conservative communitarian streak in America, but argues that liberal tolerance best fits the social meanings of American political morality. While tolerance plays a critical role, different social practices yield different conceptions of tolerance. Judges must interpret any public text to develop coherent narratives that best explain the use of force in their jurisdiction. In America, Fagelson argues, liberal tolerance is the sovereign principle that the Supreme Court uses as a prism when interpreting social institutions like marriage, speech, and even death, to make them more consistent with personal autonomy.

From a bestselling author, an “incendiary and uproarious” assault on the pretensions of scientific atheists (National Review) Militant atheism is on the rise. Prominent thinkers including Richard Dawkins, Sam Harris, Daniel Dennett, and Christopher Hitchens have published best-selling books denigrating religious belief. And these authors are merely the leading edge of a larger movement that includes much of the scientific community. In response, mathematician David Berlinski, himself a secular Jew, delivers a biting defense of religious thought. The Devil's Delusion is a brilliant, incisive, and funny book that explores the limits of science and the pretensions of those who insist it is the ultimate touchstone for understanding our world.

Learn how AI-assisted coding using ChatGPT and GitHub Copilot can dramatically increase your productivity (and fun) writing regular expressions and other programs. Regular Expression Puzzles and AI Coding Assistants is the story of two competitors. On one side is David Mertz, an expert programmer and the author of the Web's most popular Regex tutorial. On the other are the AI powerhouse coding assistants, GitHub Copilot and OpenAI ChatGPT. Here's how the contest works: David invents 24 Regex problems he calls puzzles and shows you how to tackle each one. When he's done, he has Copilot and ChatGPT work the same puzzles. What they produce intrigues him. Which side is likelier to get it right? Which will write simple and elegant code? Which makes smarter use of lesser known Regex library features? Read the book to find out. David also offers AI best practices, showing how smart prompts return better results. By the end, you'll be a master at solving your own Regex puzzles, whether you use AI or not. About the technology Groundbreaking large language model research from OpenAI, Google, Amazon, and others have transformed expectations of machine-generated software. But how do these AI assistants, like ChatGPT and GitHub Copilot, measure up against regular expressions—a workhorse technology for developers used to describe, find, and manipulate patterns in text. Regular expressions are compact, complex, and subtle. Will AI assistants handle the challenge? About the book Regular Expression Puzzles and AI Coding Assistants is the perfect starting point for programmers of any experience level who want to understand the capabilities—and the limitations—of these exciting new tools. Author David Mertz presents 24 challenging regex puzzles, their traditional human-made solutions, and the fascinating answers given by popular AI assistants. Alongside these eye-opening puzzles you’ll learn how to write prompts, integrate AI-generated coding suggestions, and interact with the assistant to get the results you want. By the end of the book, you'll have a clear understanding of where AI assistants can reliably write code for you and where you’ll still need a human touch. Plus, you’ll learn a lot about regular expressions! About the reader Code examples use simple Python and Regular Expressions. No experience with AI coding tools required. About the author David Mertz is the founder of KDM Training and an acclaimed contributor to the Python community. He is also the author of The Puzzling Quirks of Regular Expressions, Cleaning Data for Effective Data Science: Doing the Other 80% of the Work, and other books. Table of Contents 1 The map and the territory 2 Quantifiers and special sub-patterns 3 Pitfalls and sand in the gears 4 Creating functions using regex 5 Easy, difficult, and impossible tasks 6 Conclusions Appendix A: Learning to use regular expressions