For a long time, scientists have wondered how life has emerged from inanimate chemistry, and whether Earth is the only place where it exists. Charles Darwin speculated about life on Earth beginning in a warm little pond. Some of his contemporaries believed that life existed on Mars. It once seemed inevitable that the truth would be known by now.

It is not. For more than a century, the origins and extent of life have remained shrouded in mystery. But, as Mario Livio and Jack Szostak reveal in Is Earth Exceptional?: The Quest for Cosmic Life (Basic Books, 2024), the veil is finally lifting. The authors describe how life's building blocks--from RNA to amino acids and cells--could have emerged from the chaos of Earth's early existence. They then apply the knowledge gathered from cutting-edge research across the sciences to the search for life in the cosmos: both life as we know it and life as we don't.

Why and where life exists are two of the biggest unsolved problems in science. Is Earth Exceptional? is the ultimate exploration of the question of whether life is a freak accident or a chemical imperative.

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There is a hidden addiction plaguing humanity right now: revenge. Researchers have identified retaliation in response to real and imagined grievances as the root cause of most forms of human aggression and violence. From vicious tweets to road rage, murder-suicide, and armed insurrection, perpetrators almost always see themselves as victims seeking justice. Chillingly, recent behavioral and neuroimaging studies of the human brain show that harboring a personal grievance triggers revenge desires and activates the neural pleasure and reward circuitry of addiction.
Although this behavior is ancient and seems inevitable, by understanding retaliation and violence as an addictive brain-biological process, we can control deadly revenge cravings and save lives. In The Science of Revenge: Understanding the World's Deadliest Addiction—and How to Overcome It (Random House, 2025), Yale violence researcher and psychiatry lecturer James Kimmel, Jr., JD, uncovers the truth behind why we want to hurt the people who hurt us, what happens when it gets out of hand, and how to stop it.
Weaving neuroscience, psychology, sociology, law, and human history with captivating storytelling, Dr. Kimmel reveals the neurological mechanisms and prevalence of revenge addiction. He shines an unsparing light on humanity’s pathological obsession with revenge throughout history; his own struggle with revenge addiction that almost led him to commit a mass shooting; America’s growing addiction to revenge as a special brand of justice; and the startlingly similar addictive behaviors and motivations of childhood bullies, abusive partners, aggrieved employees, sparring politicians, street gang members, violent extremists, mass killers, and tyrannical dictators. He also reveals the amazing, healing changes that take place inside your brain and body when you practice forgiveness. Emphasizing the necessity of proven public health approaches and personal solutions for every level of revenge addiction, he offers urgent, actionable information and novel methods for preventing and treating violence.

James Kimmel, Jr. is an assistant clinical professor in psychiatry at the Yale School of Medicine, a lawyer, and the founder and co-director of the Yale Collaborative for Motive Control Studies.

Caleb Zakarin is editor of the New Books Network.

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What do the world's loneliest whale, a black hole, and twenty-three people doing Tae Bo all have in common?

In 2011, a skyscraper in South Korea began to shake uncontrollably without warning and was immediately evacuated. Was it an earthquake? An attack? No one seemed quite sure. The actual cause emerged later and is utterly fascinating: Twenty-three middle-aged folks were having a Tae Bo fitness class in the office gym on the twelfth floor. Their beats had inadvertently matched the building's natural frequency, and this coincidence--harnessing a basic principle of physics--caused the building to shake at an alarming rate for ten minutes. Frequency is all around us, but little understood.

Musician, composer, TV presenter, and educator Richard Mainwaring uses the concept of the Infinite Piano to reveal the extraordinary world of frequency in a multitude of arenas--from medicine to religion to the environment to the paranormal--through the universality of music and a range of memorable human (and animal) stories laced with dry humor. Whether you're science curious, musically inclined, or just want to know what a Szechuan pepper has to do with physics, What the Ear Hears (and Doesn't): Inside the Extraordinary Everyday World of Frequency (Sourcebooks, 2022) is an immensely enjoyable read filled with "did you know?" trivia you'll love to share with friends.

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Octopuses can open jars to get food, and chimpanzees can plan for the future. An IBM computer named Watson won on Jeopardy! and Alexa knows our favorite songs. But do animals and smart machines really have intelligence comparable to that of humans? In Bots and Beasts: What Makes Machines, Animals, and People Smart? (MIT Press, 2021), Paul Thagard looks at how computers (“bots”) and animals measure up to the minds of people, offering the first systematic comparison of intelligence across machines, animals, and humans.

Thagard explains that human intelligence is more than IQ and encompasses such features as problem solving, decision making, and creativity. He uses a checklist of twenty characteristics of human intelligence to evaluate the smartest machines—including Watson, AlphaZero, virtual assistants, and self-driving cars—and the most intelligent animals—including octopuses, dogs, dolphins, bees, and chimpanzees. Neither a romantic enthusiast for nonhuman intelligence nor a skeptical killjoy, Thagard offers a clear assessment. He discusses hotly debated issues about animal intelligence concerning bacterial consciousness, fish pain, and dog jealousy. He evaluates the plausibility of achieving human-level artificial intelligence and considers ethical and policy issues. A full appreciation of human minds reveals that current bots and beasts fall far short of human capabilities.

Galina Limorenko is a doctoral candidate in Neuroscience with a focus on biochemistry and molecular biology of neurodegenerative diseases at EPFL in Switzerland. To discuss and propose the book for an interview you can reach her at [email protected].

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When we think of the forces driving cancer, we don’t necessarily think of evolution. But evolution and cancer are closely linked because the historical processes that created life also created cancer. The Cheating Cell: How Evolution Helps Us Understand and Treat Cancer (Princeton UP, 2020) delves into this extraordinary relationship, and shows that by understanding cancer’s evolutionary origins, researchers can come up with more effective, revolutionary treatments.

Athena Aktipis goes back billions of years to explore when unicellular forms became multicellular organisms. Within these bodies of cooperating cells, cheating ones arose, overusing resources and replicating out of control, giving rise to cancer. Aktipis illustrates how evolution has paved the way for cancer’s ubiquity, and why it will exist as long as multicellular life does. Even so, she argues, this doesn’t mean we should give up on treating cancer—in fact, evolutionary approaches offer new and promising options for the disease’s prevention and treatments that aim at long-term management rather than simple eradication. Looking across species—from sponges and cacti to dogs and elephants—we are discovering new mechanisms of tumor suppression and the many ways that multicellular life-forms have evolved to keep cancer under control. By accepting that cancer is a part of our biological past, present, and future—and that we cannot win a war against evolution—treatments can become smarter, more strategic, and more humane.

Unifying the latest research from biology, ecology, medicine, and social science, The Cheating Cell challenges us to rethink cancer’s fundamental nature and our relationship to it.

Hussein Mohsen is a PhD/MA Candidate in Computational Biology and Bioinformatics/History of Science and Medicine at Yale University. His research interests include machine learning, cancer genomics, and the history of human genetics. For more about his work, visit http://www.husseinmohsen.com.

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This book tells the story of how, over the past century, dedicated observers and pioneering scientists achieved our current understanding of the universe. It was in antiquity that humankind first attempted to explain the universe often with the help of myths and legends. This book, however, focuses on the time when cosmology finally became a true science. As the reader will learn, this was a slow process, extending over a large part of the 20th century and involving many astronomers, cosmologists and theoretical physicists. The book explains how empirical astronomical data (e.g., Leavitt, Slipher and Hubble) were reconciled with Einstein's general relativity; a challenge which finally led Friedmann, De Sitter and Lemaître, and eventually Einstein himself, to a consistent understanding of the observational results.

The reader will realize the extraordinary implications of these achievements and how deeply they changed our vision of the cosmos: From being small, static, immutable and eternal, it became vast and dynamical - originating from (almost) nothing, and yet now, nearly 14 billion years later, undergoing accelerated expansion. But, as always happens, as well as precious knowledge, new mysteries have also been created where previously absolute certainty had reigned.

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Atoms are unfathomably tiny. It takes fifteen million trillion of them to make up a single poppy seed—give or take a few billion. And there’s hardly anything to them: atoms are more than 99.9999999999 percent empty space. Yet scientists have learned to count these slivers of near nothingness with precision and to peer into their internal states. In looking so closely, we have learned that atoms, because of their inimitable signatures and imperturbable internal clocks, are little archives holding the secrets of the past.
David J. Helfand reconstructs the history of the universe—back to its first microsecond 13.8 billion years ago—with the help of atoms. He shows how, by using detectors and reactors, microscopes and telescopes, we can decode the tales these infinitesimal particles tell, answering questions such as: Is a medieval illustrated prayer book real or forged? How did maize cultivation spread from the highlands of central Mexico to New England? What was Earth’s climate like before humans emerged? Where can we find clues to identify the culprit in the demise of the dinosaurs? When did our planet and solar system form? Can we trace the births of atoms in the cores of massive stars or even glimpse the origins of the universe itself?
A lively and inviting introduction to the building blocks of everything we know, The Universal Timekeepers demonstrates the power of science to unveil the mysteries of unreachably remote times and places.

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Today we’re continuing our series on Harry Frankfurt’s seminal work, On Bullshit. I have the privilege to speak with Arvind Narayanan co-author of the book AI Snake Oil: What Artificial Intelligence Can Do, What it Can’t, and How to Tell the Difference (Princeton University Press, 2024). Arvind is the perfect guest to explore the subject of bullshit in AI as AI Snake Oil takes on the ridiculous hype ascribed to the promise of AI. AI chatbots often hallucinate and many of the promoters of AI engage in the art of bullshit when selling people on wild and crazy AI applications.

Arvind Narayanan is professor of computer science at Princeton University and director of its Center for Information Technology Policy.

Caleb Zakarin is editor of the New Books Network.

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Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumor is cancerous, or deciding if someone gets bail. They now influence developments and discoveries in chemistry, biology, and physics—the study of genomes, extrasolar planets, even the intricacies of quantum systems. And all this before large language models such as ChatGPT came on the scene.
We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning, while suggesting intriguing links between artificial and natural intelligence. Might the same math underpin them both?
As Ananthaswamy resonantly concludes, to make safe and effective use of artificial intelligence, we need to understand its profound capabilities and limitations, the clues to which lie in the math that makes machine learning possible.

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What is reliable knowledge? Listen to philosopher Michael Strevens, author of The Knowledge Machine: How Irrationality Created Modern Science, to understand how science discovers the truth. At the current moment, when expertise is under attack and the idea of truth is contested from all sides, Strevens explains the remarkable success of science’s “irrational” method to settle debates, regardless of philosophical, religious, or aesthetic preferences. Drawing on Thomas Kuhn’s The Structure of Scientific Revolutions—our host Uli Baer’s all-time favorite non-fiction book—, Karl Popper, and others, Strevens shows how science became the most effective tool for uncovering the secrets of nature.

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