エピソード

  • Pedro Domingos, "The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World" (Basic Books, 2018)
    2026/05/30
    In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World (Basic Books, 2018), Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible. Pedro Domingos is a professor emeritus of computer science at the University of Washington. He is a winner of the SIGKDD Innovation Award, the highest honor in data science. A fellow of the Association for the Advancement of Artificial Intelligence, he lives near Seattle. Gregory McNiff is a Managing Director in the New York office of the Blueshirt Group, an IR firm focused on technology; he has a strong interest in literature, culture, religion, science and philosophy (translation: he's an eclectic reader who is constantly missing deadlines for book review).
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    1 時間 11 分
  • What AI Means for Fiction: A Discussion with Literary Critic Mark McGurl
    2026/05/26
    How is the tool of Artificial Intelligence shaping the writing of fiction? Is AI emerging as more than just a potentially handy aid to an author—and, ominously, more like an actual author? I discuss these ripe questions and others with the literary critic Mark McGurl, professor of English at Stanford. He is the author of The Program Era: Postwar Fiction and the Rise of Creative Writing (Harvard University Press, 2009) and Everything and Less: The Novel in the Age of Amazon (Verso, 2021). As our conversation shows, McGurl is a nuanced, reasoned voice on an emotive subject that all too readily lends itself to apocalyptic or pollyannaish pronouncements. Mark McGurl is a Professor of English at Stanford University. Veteran journalist Paul Starobin is a former Moscow bureau chief for Business Week and a former contributing editor of The Atlantic. His companion Substack newsletter, America and Beyond,” offers commentary and insights on the podcast. He has written for The New York Times, The Washington Post, The Wall Street Journal and many other publications. His most recent book is Putin’s Exiles: Their Fight for a Better Russia (Columbia Global Reports, 2024).
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    56 分
  • Yosef Grodzinsky, "How Deeply Human Is Language?: Chomsky, the Brain, and the AI Fantasy" (MIT Press, 2026)
    2026/05/24
    How Deeply Human Is Language? Chomsky, the Brain, and the AI Fantasy (MIT Press, 2026) is Yosef Grodzinsky’s exploration of the criticality of the linguistic theories to the design of LLMs. The book dwells on the significance of the marriage between computational and theoretical fields, specifically “engineering and science” on the development of unique Language Learning Models. Yosef maintains that leveraging linguistic theories for the development of Gen AI chatbots and training of Language Learning Models will help the growing Gen-AI revolution. In the book, LLMs are evaluated from the neurolinguistic perspective, comparing how the human brain works with different LLMs’ reactions to prompts, highlighting how a collaboration between the core linguists and the experts in the technology-related fields could make a change. Yosef Grodzinzky’s positions in the book is grounded in contemporary linguistics, founded and inspired by Noam Chomsky, the father of the “mentalist” linguistic perspective to language acquisition. In the book, the author employs the historical approach to tell different significant stories to communicate multiple messages of success of interdisciplinary practices. While the main idea is to explore the centrality of linguistic science to other fields with specific emphasis on Engineering and sister’s technological fields, the book dwelled on specific pitfalls of the linguistics and way forward to promote novel interdisciplinary productions. Mariam Olugbodi is a university teacher and a writer, she is the author of the monograph titled: “Stylistic Features in the 2011 and 2012 Final Matches Commentaries in the UEFA Champions League”, published by Grin Verlag. Mariam’s greatest dream is seeing a world where knowledge is accessible to all. She does this through her volunteering roles on open knowledge platforms as a host and an editor. As part of her effort to maintain inclusion and diversity in knowledge transmission, she volunteers as a teacher in crises contexts. Learn more and connect with Mariam through her social links here. | LinkedIn| here. |ORCID| and here. |Meta|
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    48 分
  • Sarah Murray, "Powered by Smart: A Prehistory of Everyday AI" (NYU Press, 2026)
    2026/04/22
    Powered by Smart traces the techno-cultural evolutions that made artificial intelligence feel more familiar than futuristic. From wearables and streaming platforms to home voice assistants and AI toasters, smart is an inescapable feature of postdigital life. Today, thousands of products and platforms define smart as routine automation and friendly digital kinship. Yet smartness was not always so digital. Sarah Murray uncovers the century-long process through which smart became synonymous with seamless interaction between bodies and machines, showing how this intimate interfacing helped to normalize today’s algorithmic world.Offering a critical, feminist prehistory of everyday AI, Powered by Smart reveals how the pursuit of convenience, comfort, and efficiency has long been a gendered campaign. Smartness has often been associated with women — from early switchboard operators and industrial designer Lillian Gilbreth’s test kitchens to Jane Fonda’s Jazzercise empire and Disney’s computer-housewife PAT in Smart House. These moments illuminate how machine intelligence has already been made ordinary, and how the smart ideal was built over time through domesticity, discipline, and desirability.Moving across factory floors, suburban kitchens, exercise trends, and digital homes, Murray shows how twentieth-century innovations in wearability, solutionism, and recognition laid the groundwork for our contemporary tolerance of — and attachment to — AI. Far from a sudden technological revolution, everyday AI emerged through decades of cultural conditioning of smart life as a caring, attentive endeavor that cast human–machine harmony as both natural and necessary. Powered by Smart reframes artificial intelligence not as the next frontier of progress, but as the logical extension of a much older dream of efficiency made ordinary and personal.
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    2 分
  • Adrian Woolfson, "On the Future of Species: Authoring Life by Means of Artificial Biological Intelligence" (MIT Press, 2026)
    2026/04/20
    Imagine a future where we grow houses rather than build them. Where smartphones are alive, clothing has opinions and all human knowledge fits into a speck of DNA. A world where disease is a thing of the past and the human lifespan is dramatically extended.To achieve this, says Adrian Woolfson, founder of the genome writing company Genyro, we must transform biology into a predictive, programmable engineering material. That means decoding the generative grammar of DNA: the language of life itself. We will then be able to author genomes—and, if we choose, even rewrite our own.In On the Future of Species: Authoring Life by Means of Artificial Biological Intelligence (MIT Press, 2026), Woolfson describes how we are at the cusp of a technological revolution, driven by the convergence of artificial intelligence and synthetic biology. Currently at the scribbling phase—writing the genomes of viruses, bacteria and yeast—we will eventually author the genomes of extinct and never-before-realized species. Life will become computable, detached from its past and no longer bound by Darwinian evolution.While offering extraordinary opportunities, this power also carries great risk, and it is vital for everyone to understand what the future might hold. In this groundbreaking work, Woolfson provides a guide to this bold new world, offering a moral compass to help us do so safely, wisely and ethically. Adrian Woolfson is the cofounder of Genyro, a California-based biotechnology company specializing in synthetic genome design and construction. He studied medicine at Balliol College, Oxford, and was formerly the Charles and Katherine Darwin Research Fellow at Darwin College, Cambridge, working at the MRC Laboratory of Molecular Biology. Greg is the Executive Director and Founder of the World War II Discussion Forum (wwiidf.org). He also has a strong interest in literature, culture, religion, science and philosophy (translation: he's an eclectic reader who is constantly missing deadlines for book reviews).
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    4 分
  • Sam Illingworth and Rachel Forsyth, "GenAI in Higher Education: Redefining Teaching and Learning" (Bloomsbury, 2026)
    2026/03/17
    GenAI in Higher Education: Redefining Teaching and Learning (Bloomsbury, 2026) provides practical guidance for higher education professionals looking to use Generative Artificial Intelligence (GenAI) technologies. Blending theoretical grounding with real-world examples and case studies, it gives step-by-step guidance on how to evaluate, select, and implement GenAI technologies in teaching, learning, assessment, and student support. It covers topics including automating administrative processes, adapting learning resources, and critiquing outputs. Each chapter includes reflective exercises and further reading lists and shows how AI can enhance accessibility, efficiency, and creativity in higher education. Alongside this, the many challenges and ethical considerations of using AI are introduced, including issues around plagiarism, quality control, and the need to establish governance protocols. Dr. Tiatemsu Longkumer, Senior Lecturer in Anthropology at Royal Thimphu College, Bhutan, researches indigenous religion and Christianity among the Nagas, Buddhism in Bhutan, and Generative AI in education.
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    3 分
  • Gaurav Suri and Jay McClelland, "The Emergent Mind: How Intelligence Arises in People and Machines" (Basic Books, 2025)
    2025/10/29
    When we are trying to solve a problem, what happens? We find ourselves weighing arguments, or relying on intuition, then reaching a conscious decision about what to do. What is going on behind the scenes? In The Emergent Mind: How Intelligence Arises in People and Machines (Basic Books, 2025), Gaurav Suri and Jay McClelland show that our experience is the tip of an iceberg of brain activity that can be captured in an artificial neural network. Such networks--initially developed as models of ourselves--have become the engines of artificial neural intelligence. Suri and McClelland aren't reducing mankind to mere machines. Rather, they are showing how a data-driven neural network can create thoughts, emotions, and ideas--a mind--whether in humans or computers. The Emergent Mind provides a fascinating account of how we reach decisions, why we change our minds, and how we are affected by context and experience. Ultimately, the book gives a new answer to one of our oldest questions: Not just how do minds work, but what does it mean to be a mind at all?
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    6 分
  • David Eliot, "Artificially Intelligent: The Very Human Story of AI" (Aevo UTP, 2025)
    2025/10/14
    The story of AI isn't finished yet. The question is: how will you be part of it? With the unprecedented adoption of artificial intelligence and its far-reaching implications, people everywhere are witnessing the world change around them. Artificially Intelligent: The Very Human Story of AI (Aevo UTP, 2025) answers today's most pressing questions about AI - from the fundamental to the futuristic - offering readers a new, informed worldview. In an age of unparalleled innovation and change, artificial intelligence has become the heart of our fears, discussions, and debates. Thus, AI researcher and award-winner David Eliot takes readers on a journey through the key moments and decisions that have shaped its creation and our world. A socially driven history, the book explores its technical breakthroughs and the social forces that made them possible.But this book isn't just about the past - it's about you. Artificially Intelligent invites readers to find their place in the story of AI, to understand its impact on their lives, and to decide what kind of future they want to help create.Artificially Intelligent tells the story of the technology the way it was meant to be told: not as an exhaustive retelling of history, nor as a prophecy of doom and gloom, but as a human story that is not yet complete.
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    4 分