Instant New York Times and USA Today Bestseller. Tech visionary and co-founder of Manas AI Reid Hoffman shares his unique insider's perspective on an AI-powered future, making the case for its potential to unlock a world of possibilities. "An essential companion." -- Fei-Fei Li "An important read." --Bill Gates "Brilliant mind. Compassionate heart. Bold ideas...Read this book!" --Van Jones "Refreshingly optimistic and welcome perspective." -- Ariana Huffington "A fascinating and insightful book." --Yuval Noah Harari As taught at UPenn's Wharton and Stanford. Superagency offers a roadmap for using AI inclusively and adaptively to improve our lives and create positive change. While acknowledging challenges like disinformation and potential job changes, the book focuses on AI's immense potential to increase individual agency and create better outcomes for society as a whole. Imagine AI tutors personalizing education for each child, researchers rapidly discovering cures for diseases like Alzheimer's and cancer, and AI advisors empowering people to navigate complex systems and achieve their goals. Hoffman and co-author, tech and culture writer Greg Beato envision a world where these possibilities, and many more, become a reality. Superagency challenges conventional fears, inviting us to view the future through a lens of opportunity, rather than fear. It's a call to action - to embrace AI with excitement and actively shape a world where human ingenuity and the power of AI combine to create something extraordinary. Entrepreneur Reid Hoffman is a co-founder of LinkedIn, Inflection AI, and Manas AI. He is also host of the podcasts Possible and Masters of Scale.

Fears about AI tell us more about capitalism today than technology in the future. Will AI come and take all our jobs? Will it dominate humanity, hack the foundations of our civilization, or even wipe humans of the face of the planet? All kinds of people seem to think so. From academics to billionaires, artists to fraudsters, journalists to the pope, AI nightmares have gripped the popular imagination. Why We Fear AI boldly asserts these fears are actually about capitalism, reimagined as a kind of autonomous intelligent agent.  Science and tech industry insiders Hagen Blix and Ingeborg Glimmer dive into the dark, twisted, and arcane world of AI nightmares in order to demystify what people say about it. They combine expertise in cognitive science and machine learning with political and economic analyses to cut through the hype and technobabble, and show how fears about AI reflect very different economic realities: from venture capitalists to AI engineers, from artists to warehouse workers at Amazon. If we want to understand the fears and potential impacts of AI, we must think about capitalism, the economy, and class power in real terms we can confront and wage our struggles on. Blix and Glimmer argue that AI nightmares reveal the terrifying underbelly of our current society, of the violence and alienation at the root of capitalism and its way of organizing our world in its image. If we simply let capitalism and tech billionaires run wild, we can expect the worst: automated bureaucracies that protect the powerful and punish the poor; an ever-expanding surveillance apparatus; the cheapening of skills, downward pressures on wages, the expansion of gig-work, and crushing inequality. But that outcome is not inevitable, however much capitalist may dream of it. Why We Fear AI points the way to a different and brighter future, one where our labor, knowledge, and technologies serves us, rather than us serving capital and its owners.

Available open access digitally under CC-BY-NC-ND licence. In a world where artificial intelligence increasingly influences the fabric of our daily lives, this accessible book offers a critical examination of AI and its deep entanglement with power structures. Rather than focusing on doomsday scenarios, it emphasises how AI impacts our everyday interactions and social norms in ways that fundamentally reshape society. By examining the different forms of exploitation and manipulation in the relationship between humans and AI, the book advocates for collective responsibility, better regulation and systemic change. This is a resounding manifesto for rethinking AI ethics through a power-aware lens. With detailed analysis of real-world examples and technological insights, it is essential reading for anyone invested in the future of AI policy, scholarly critique and societal integration.

How generative AI systems capture a core function of language Looking at the emergence of generative AI, Language Machines presents a new theory of meaning in language and computation, arguing that humanistic scholarship misconstrues how large language models (LLMs) function. Seeing LLMs as a convergence of computation and language, Leif Weatherby contends that AI does not simulate cognition, as widely believed, but rather creates culture. This evolution in language, he finds, is one that we are ill-prepared to evaluate, as what he terms "remainder humanism" counterproductively divides the human from the machine without drawing on established theories of representation that include both.   To determine the consequences of using AI for language generation, Weatherby reads linguistic theory in conjunction with the algorithmic architecture of LLMs. He finds that generative AI captures the ways in which language is at first complex, cultural, and poetic, and only later referential, functional, and cognitive. This process is the semiotic hinge on which an emergent AI culture depends. Weatherby calls for a "general poetics" of computational cultural forms under the formal conditions of the algorithmic reproducibility of language.   Locating the output of LLMs on a spectrum from poetry to ideology, Language Machines concludes that literary theory must be the backbone of a new rhetorical training for our linguistic-computational culture.

AI and Authorship in Scholarly Communication explores the role of Artificial Intelligence (AI) as it pertains to scholarly research and writing.

An Instant New York Times Bestseller "A bestselling page-turner that has made waves not just in Silicon Valley but around the world . . . With Empire of AI, Hao is fundamentally shaping many people's perceptions and understanding of the company at the center of the AI revolution." --TIME Magazine, "TIME100 AI 2025" "Excellent and deeply reported." --Tim Wu, The New York Times "Startling and intensely researched . . . an essential account of how OpenAI and ChatGPT came to be and the catastrophic places they will likely take us." --Vulture "Hao's reporting inside OpenAI is exceptional, and she's persuasive in her argument that the public should focus less on A.I.'s putative 'sentience' and more on its implications for labor and the environment." --Benjamin Wallace-Wells, New Yorker From a brilliant longtime AI insider with intimate access to the world of Sam Altman's OpenAI from the beginning, an eye-opening account of arguably the most fateful tech arms race in history, reshaping the planet in real time, from the cockpit of the company that is driving the frenzy When AI expert and investigative journalist Karen Hao first began covering OpenAI in 2019, she thought they were the good guys. Founded as a nonprofit with safety enshrined as its core mission, the organization was meant, its leader Sam Altman told us, to act as a check against more purely mercantile, and potentially dangerous, forces. What could go wrong? Over time, Hao began to wrestle ever more deeply with that question. Increasingly, she realized that the core truth of this massively disruptive sector is that its vision of success requires an almost unprecedented amount of resources: the "compute" power of high-end chips and the processing capacity to create massive large language models, the sheer volume of data that needs to be amassed at scale, the humans "cleaning up" that data for sweatshop wages throughout the Global South, and a truly alarming spike in the usage of energy and water underlying it all. The truth is that we have entered a new and ominous age of empire: only a small handful of globally scaled companies can even enter the field of play. At the head of the pack with its ChatGPT breakthrough, how would OpenAI resist such temptations? Spoiler alert: it didn't. Armed with Microsoft's billions, OpenAI is setting a breakneck pace, chased by a small group of the most valuable companies in human history--toward what end, not even they can define. All this time, Hao has maintained her deep sourcing within the company and the industry, and so she was in intimate contact with the story that shocked the entire tech industry--Altman's sudden firing and triumphant return. The behind-the-scenes story of what happened, told here in full for the first time, is revelatory of who the people controlling this technology really are. But this isn't just the story of a single company, however fascinating it is. The g forces pressing down on the people of OpenAI are deforming the judgment of everyone else too--as such forces do. Naked power finds the ideology to cloak itself; no one thinks they're the bad guy. But in the meantime, as Hao shows through intrepid reporting on the ground around the world, the enormous wheels of extraction grind on. By drawing on the viewpoints of Silicon Valley engineers, Kenyan data laborers, and Chilean water activists, Hao presents the fullest picture of AI and its impact we've seen to date, alongside a trenchant analysis of where things are headed. An astonishing eyewitness view from both up in the command capsule of the new economy and down where the real suffering happens, Empire of AI pierces the veil of the industry defining our era.

Why the race to apply AI in psychiatry is so dangerous, and how to understand the new tech-driven psychiatric paradigm. AI psychiatrists promise to detect mental disorders with superhuman accuracy, provide affordable therapy for those who can't afford or can't access treatment, and even invent new psychiatric drugs. But the hype obscures an unnerving reality. In The Silicon Shrink, Daniel Oberhaus tells the inside story of how the quest to use AI in psychiatry has created the conditions to turn the world into an asylum. Most of these systems, he writes, have vanishingly little evidence that they improve patient outcomes, but the risks they pose have less to do with technological shortcomings than the application of deeply flawed psychiatric models of mental disorder at unprecedented scale. Oberhaus became interested in the subject of mental health after tragically losing his sister to suicide. In the book, he argues that these new, ostensibly therapeutic technologies already pose significant risks to vulnerable people, and they won't stop there. These new breeds of AI systems are creating a psychiatric surveillance economy in which the emotions, behavior, and cognition of everyday people are subtly manipulated by psychologically savvy algorithms that have escaped the clinic. Oberhaus also introduces readers to the concept of "swipe psychology," which is quickly establishing itself as the dominant mode of diagnosing and treating mental disorders. It is not too late to change course, but to do so means we must reckon with the nature of mental illness, the limits of technology, and what it means to be human.

A MOST ANTICIPATED BOOK * From New Yorker staff writer and author of The Longing for Less Kyle Chayka comes a timely history and investigation of a world ruled by algorithms, which determine the shape of culture itself. "[Filterworld] is about how algorithms changed culture...[Chayka asks] what is taste? What is a sense of aesthetics? And what happens to it when it collides with the homogenizing digital reality in which we now live."--Ezra Klein From trendy restaurants to city grids, to TikTok and Netflix feeds the world round, algorithmic recommendations dictate our experiences and choices. The algorithm is present in the familiar neon signs and exposed brick of Internet cafes, be it in Nairobi or Portland, and the skeletal, modern furniture of Airbnbs in cities big and small. Over the last decade, this network of mathematically determined decisions has taken over, almost unnoticed--informing the songs we listen to, the friends with whom we stay in touch--as we've grown increasingly accustomed to our insipid new normal. This ever-tightening web woven by algorithms is called "Filterworld." Kyle Chayka shows us how online and offline spaces alike have been engineered for seamless consumption, becoming a source of pervasive anxiety in the process. Users of technology have been forced to contend with data-driven equations that try to anticipate their desires--and often get them wrong. What results is a state of docility that allows tech companies to curtail human experiences--human lives--for profit. But to have our tastes, behaviors, and emotions governed by computers, while convenient, does nothing short of call the very notion of free will into question. In Filterworld, Chayka traces this creeping, machine-guided curation as it infiltrates the furthest reaches of our digital, physical, and psychological spaces. With algorithms increasingly influencing not just what culture we consume, but what culture is produced, urgent questions arise: What happens when shareability supersedes messiness, innovation, and creativity--the qualities that make us human? What does it mean to make a choice when the options have been so carefully arranged for us? Is personal freedom possible on the Internet? To the last question, Filterworld argues yes--but to escape Filterworld, and even transcend it, we must first understand it.

How Big Tech is taking advantage of us, how AI is making it worse, and how we can create a thriving, AI-positive world. On balance, will AI help humanity or harm it? AI could revolutionize science, medicine, and technology, and deliver us a world of abundance and better health. Or it could be a disaster, leading to the downfall of democracy, or even our extinction. In Taming Silicon Valley, Gary Marcus, one of the most trusted voices in AI, explains that we still have a choice. And that the decisions we make now about AI will shape our next century. In this short but powerful manifesto, Marcus explains how Big Tech is taking advantage of us, how AI could make things much worse, and, most importantly, what we can do to safeguard our democracy, our society, and our future. Marcus explains the potential-and potential risks-of AI in the clearest possible terms and how Big Tech has effectively captured policymakers. He begins by laying out what is lacking in current AI, what the greatest risks of AI are, and how Big Tech has been playing both the public and the government, before digging into why the US government has thus far been ineffective at reining in Big Tech. He then offers real tools for readers, including eight suggestions for what a coherent AI policy should look like-from data rights to layered AI oversight to meaningful tax reform-and closes with how ordinary citizens can push for what is so desperately needed. Taming Silicon Valley is both a primer on how AI has gotten to its problematic present state and a book of activism in the tradition of Abbie Hoffman's Steal This Book and Thomas Paine's Common Sense. It is a deeply important book for our perilous historical moment that every concerned citizen must read.

A veteran writing teacher makes a "moving" (Rick Wormeli) argument that writing is a form of thinking and feeling and shows why it can't be replaced by AI In the age of artificial intelligence, drafting an essay is as simple as typing a prompt and pressing enter. What does this mean for the art of writing? According to longtime writing teacher John Warner: not very much. More Than Words argues that generative AI programs like ChatGPT not only can kill the student essay but should, since these assignments don't challenge students to do the real work of writing. To Warner, writing is thinking--discovering your ideas while trying to capture them on a page--and feeling--grappling with what it fundamentally means to be human. The fact that we ask students to complete so many assignments that a machine could do is a sign that something has gone very wrong with writing instruction. More Than Words calls for us to use AI as an opportunity to reckon with how we work with words--and how all of us should rethink our relationship with writing.

With the rapid development of Generative AI, teachers are experiencing a new pedagogical challenge—one that promises to forever change the way we approach teaching and learning. As a response to this unprecedented teaching context, Teaching and Generative AI: Pedagogical Possibilities and Productive Tensions provides interdisciplinary teachers, librarians, and instructional designers with practical and thoughtful pedagogical resources for navigating the possibilities and challenges of teaching in an AI era. Because our goal with this edited collection is to present nuanced discussions of AI technology across disciplines, the chapters collectively acknowledge or explore both possibilities and tensions—including the strengths, limitations, ethical considerations, and disciplinary potential and challenges—of teaching in an AI era. As such, the authors in this collection do not simply praise or criticize AI, but thoughtfully acknowledge and explore its complexities within educational settings.