'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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With the rise of the gramophone around 1900, the shellac disc traveled the world and eventually became the dominant sound format in the first half of the twentieth century. Format Friction brings together a set of local encounters with the shellac disc, beginning with its preconditions in South Asian knowledge and labor, to offer a global portrait of this format.
Spun at seventy-eight revolutions per minute, the shellac disc rapidly became an industrial standard even while the gramophone itself remained a novelty. The very basis of this early sound reproduction technology was friction, an elemental materiality of sound shaped through cultural practice. Using friction as a lens, Gavin Williams illuminates the environments plundered, the materials seized, and the ears entangled in the making of a sound format. Bringing together material, political, and music history, Format Friction decenters the story of a beloved medium, and so explores new ways of understanding listening in technological culture more broadly.

Nathan Smith is a PhD candidate in Music Theory at Yale University

[email protected]

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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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Is artificial intelligence going to take over the world? Have big tech scientists created an artificial lifeform that can think on its own? Is it going to put authors, artists, and others out of business? Are we about to enter an age where computers are better than humans at everything?

Linguist Emily M. Bender and sociologist Alex Hanna make clear that kind of thinking is a symptom of a phenomenon known as “AI hype.” Hype twists words and helps the rich get richer by justifying data theft, motivating surveillance capitalism, and devaluing human creativity in order to replace meaningful work with jobs that treat people like machines. In The AI Con: How to Fight Big Tech's Hype and Create the Future We Want (Harper, 2025), Bender and Hanna offer a, and wide-ranging take-down of AI hype across its many forms. They show you how to spot AI hype, how to deconstruct it, and how to expose the power grabs it aims to hide. Bender and Hanna expose AI hype for what it is: a mask for Big Tech’s drive for profit, with little concern for who it affects.

Alfred Marcus is Edson Spencer Professor at the Carlson School.

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 Today I’m speaking with Marcus Golding, historian and Director of Educational Operations at ClioVis. ClioVis is an incredible software and learning tool that allows educators and studies to create digital timelines, network visualizations, and interactive presentations. Founded by UT Austin history professor Erika Bsumek, ClioVis is made for professors and teachers by current professors and scholars. I’m thrilled to get the chance today to speak with Marcus about this software to share with our listeners how they can enhance their own work and teaching.

Visit ClioVis' website to learn more: Click Here

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