Peoples & Things host, Lee Vinsel, talks with Tiia Sahrakorpi, Visiting Professor at Weber State University, about her interesting book project, Our Land: An Oral History of Energy, which was funded by the Research Council of Finland. The project, which was rooted in oral histories in three locations in Finland, takes a use-based perspective and examines how ordinary Finnish people adopted and used electricity.

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Ground Combat: Puncturing the Myths of Modern War (Georgetown UP, 2025) reveals the gritty details of land warfare at the tactical level and challenges the overly subjective and often inaccurate American approach to characterizing war. Ben Connable's motivation for writing the book is to replace overly subjective analyses with an evidence-based approach to examining war. From analyzing a set of over 400 global ground combat cases, Connable shows there has been a modest and evolutionary shift in the characteristics of ground combat from World War II through the early 2020s. This evidence of gradual change repudiates the popular but often hyperbolic arguments about military-technical revolutions and that there is a singular character of war in the modern era. Connable identifies past and current weaknesses in military design and strategy, examines common characteristics in modern ground combat from the data, and reframes the debate over the historical and prospective impact of emerging technologies on war. Ground Combat sets an evidentiary baseline and a new, detail-oriented standard for conflict research and policymaking.

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Everything we do today is recorded as data that’s sold to the highest bidder. Plugging our personal data into impersonal algorithms has made government agencies more efficient and tech companies more profitable. But all this comes at a price. It’s easy to feel like an insignificant number in a world of number crunchers who care more about their bottom line than your humanity. It’s time to flip the equation, turning math into an empowering tool for the rest of us.

In Robin Hood Math: Take Control of the Algorithms That Run Your Life (Penguin, 2025), award-winning mathematician Noah Giansiracusa explains how the tech giants and financial institutions use formulas to get ahead—and how anyone can use these same formulas in their everyday life. You’ll learn how to handle risk rationally, make better investments, take control of your social media, and reclaim agency over the decisions you make each day.

In a society that all too often takes from the poor and gives to the rich, math can be a vital democratizing force. Robin Hood Math helps you to think for yourself, act in your own best interests, and thrive.

Noah Giansiracusa is an Associate Professor of Mathematics at Bentley University, Visiting Scholar at Harvard University, and the author of How Algorithms Create and Prevent Fake News. His writing has appeared in Scientific American, TIME, WIRED, Slate, and the Washington Post, among others, and he has been featured as a guest on CNN, BBC Radio 4, and Newsmax. Giansiracusa lives in Acton, Massachusetts, with his wife, two kids, two dogs, and 12 chickens.

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A veteran Pulitzer Prize-winning journalist shadows the top thinkers in the field of Artificial Intelligence, introducing the breakthroughs and developments that will change the way we live and work.

Artificial Intelligence has been “just around the corner” for decades, continually disappointing those who long believed in its potential. But now, with the emergence and growing use of ChatGPT, Gemini, and a rapidly multiplying number of other AI tools, many are wondering: Has AI’s moment finally arrived?

In AI Valley: Microsoft, Google, and the Trillion-Dollar Race to Cash In on Artificial Intelligence (Harper Collins, 2025), Pulitzer Prize-winning journalist Gary Rivlin brings us deep into the world of AI development in Silicon Valley. Over the course of more than a year, Rivlin closely follows founders and venture capitalists trying to capitalize on this AI moment. That includes LinkedIn founder Reid Hoffman, the legendary investor whom the Wall Street Journal once called, “the most connected person in Silicon Valley.”

Through Hoffman, Rivlin is granted access to a number of companies on the cutting-edge of AI research, such as Inflection AI, the company Hoffman cofounded in 2022, and OpenAI, the San Francisco-based startup that sparked it all with its release at the end of that year of ChatGPT. In addition to Hoffman, Rivlin introduces us to other AI experts, including OpenAI cofounder Sam Altman and Mustafa Suleyman, the co-founder of DeepMind, an early AI startup that Google bought for $650 million in 2014. Rivlin also brings readers inside Microsoft, Meta, Google and other tech giants scrambling to keep pace.

On this vast frontier, no one knows which of these companies will hit it big–or which will flame out spectacularly. In this riveting narrative marbled with familiar names such as Musk, Zuckerberg, and Gates, Rivlin chronicles breakthroughs as they happen, giving us a deep understanding of what’s around the corner in AI development. An adventure story full of drama and unforgettable personalities, AI Valley promises to be the definitive story for anyone seeking to understand the latest phase of world-changing discoveries and the minds behind them.

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Autonomous weapons exist in a strange territory between Pentagon procurement contracts and Hollywood blockbusters, between actual military systems and speculative futures. For this week's Liminal Library, I spoke with Jascha Bareis, co-editor of The Realities of Autonomous Weapons (Bristol UP, 2025), about how these dual existences shape international relations and cultural imagination. The collection examines autonomous weapons not just as military hardware but as psychological tools that reshape power dynamics through their mere possibility. These systems epitomize what the editors call "the fluidity of violence"—warfare that dissolves traditional boundaries between human decision and machine action, between targeted strikes and algorithmic inevitability.

Bareis and his contributors trace fascinating connections between fictional representations and military doctrine—how Terminator narratives influence Pentagon planning while actual weapons development feeds back into artistic imagination. The book wrestles with maintaining "meaningful human control" over systems designed to operate faster than human thought, a challenge that grows more urgent as militaries worldwide race toward greater autonomy. Each chapter reveals how thoroughly we need to rethink human-machine relationships in warfare, from the gendered coding of robot soldiers in film to the way AI imaginaries differ between Silicon Valley and New Delhi. Autonomous weapons force us to confront uncomfortable realities about agency, violence, and the increasingly blurred line between human judgment and algorithmic certainty.

Links:

A Clean Kill? the role of Patriot in the Gulf War

Statement delivered by Germany on Working Definition of LAWS / “Definition of Systems under Consideration”

The Silicon Valley venture capitalists who want to ‘move fast and break things’ in the defence industry

Hype Studies

'The Gatekeepers' documentary

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'Seeing Like a Platform: An Inquiry into the Condition of Digital Modernity (Taylor & Francis, 2025)' by Petter Törnberg & Justus Uitermark

In my conversation with Petter Törnberg about Seeing Like a Platform, we kept returning to a simple but unsettling point: platforms don't just carry our messages or connect us to information. They've created an entirely new way of knowing the world. His book with Justus Uitermark argues that when everything must be tagged, ranked, and fed through recommendation engines, we get a reality that only makes sense through those mechanisms.

This goes beyond previous technological shifts. The printing press expanded what we could know. Television changed how quickly we could know it. But platforms have altered the conditions of knowledge itself. When a platform "sees" the world, it only recognizes what can be counted, sorted, and optimized. Everything else becomes invisible or, worse, stops seeming real. We start mistaking the map for the territory, except now the map is writing itself based on our clicks and swipes.

What troubles me most about Törnberg's analysis is how naturally we've adapted to this new epistemology. We optimize our research for algorithmic discovery. We think in terms of engagement rather than understanding. The platform's logic becomes so embedded in daily life that other ways of organizing knowledge start to feel antiquated, inefficient. For STS researchers, this creates a genuine bind: we're trying to study platform society while swimming in its assumptions. The challenge isn't escaping platform thinking but remembering that there are other ways to think.

Notes:

The Ascendance Of Algorithmic Tyranny

Talking about Machines: An Ethnography of a Modern Job (Collection on Technology and Work)

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Principles of Bitcoin presents a holistic, first-principles-based framework for understanding one of the most misunderstood inventions of our time. By stripping away the hype, jargon, and superficial analysis that often surrounds the crypto industry, this book uncovers the true ingenuity behind Satoshi Nakamoto’s creation—and its profound implications for the future of money, governance, and individual freedom.

Vijay Selvam analyzes the technology, economics, politics, and philosophy of Bitcoin, making the case that only through this holistic understanding can we gain an appreciation of its true meaning and significance. Readers are invited to consider Bitcoin as a tool for individual empowerment, a catalyst for economic autonomy, and a challenge to traditional monetary systems. Selvam demonstrates why Bitcoin stands alone in the digital asset space as a path-dependent once-in-history invention that cannot be replicated.

Principles of Bitcoin is an invaluable resource for professionals in the financial world seeking a rigorous and accessible understanding of Bitcoin. Students, curious thinkers, and all who find the technology daunting will also benefit from its clear, foundational approach. Equipping readers with the tools to grasp the many facets of Bitcoin, this book is an ideal guide to exploring its role in shaping a more decentralized, transparent, and equitable future.

Vijay Selvam is a corporate lawyer and financial services expert with nearly twenty years of experience across the United States, United Kingdom, and Asia. He spent more than a decade at Goldman Sachs and has also held leadership roles in the digital assets industry, advising on the evolving regulatory landscape. Selvam is a graduate of Harvard Law School, Oxford University, and Cardiff University.

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Tatiana Bur, Technologies of the Marvellous in Ancient Greek Religion (Cambridge UP, 2025)

This open-access book investigates the ways that technological, and especially mechanical, strategies were integrated into ancient Greek religion. By analysing a range of evidence, from the tragic use of the deus ex machina to Hellenistic epigrams to ancient mechanical literature, it expands the existing vocabulary of visual modes of ancient epiphany. Moreover, it contributes to the cultural history of the unique category of ancient 'enchantment' technologies by challenging the academic orthodoxy regarding the incompatibility of religion and technology. The evidence for this previously unidentified phenomenon is presented in full, thereby enabling the reader to perceive the shifting matrices of agency between technical objects, mechanical knowledge, gods, and mortals from the fifth century BCE to the second century CE.

New Books of Late Antiquity is presented by Ancient Jew Review

Tatiana Bur is Lecturer in Classics at Australian National University

Michael Motia teaches in Classics and Religious Studies at UMass Boston

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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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In this episode of the Language on the Move Podcast, Tazin Abdullah speaks with Dr. Esther Monzó-Nebot, Associate Professor in Translation and Interpreting Studies at Universitat Jaume I in Catalunya. They talk about Dr. Monzó-Nebot's new book The Social Impact of Automating Translation: An Ethics of Care Perspective on Machine Translation.

The conversation delves into ideological issues involved in the widespread use of machine translation and the real-life impact for those who may rely on machine translations in various situations. Esther’s research and the wide variety of contributions to the book highlight the need to open a discussion about instilling an ‘ethics of care’ perspective into the use of technology to make AI-generated translations more inclusive and relevant for the communities using them.

For additional resources, show notes, and transcripts, go here.

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