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Business is on the cusp of an inevitable and profound transformation. The tools of tomorrow will amplify human potential, from collaborating in virtual spaces through digital avatars, to managing transactions transparently on the blockchain. Those who embrace these technologies—and the manner in which people want to work—will unleash unprecedented levels of productivity and innovation. Conversely, those who remain tethered to outdated work patterns risk losing out on the best talent, and even becoming obsolete.

Les histoires nous ont réunis. Les livres ont diffusé nos idées et nos mythologies. Internet nous a promis le savoir infini. Les algorithmes ont découvert nos secrets – et nous ont divisés. Quel monde nous promet l’IA ? Depuis cent mille ans, nous, les Sapiens, avons acquis un gigantesque pouvoir. Mais malgré nos découvertes, inventions et conquêtes, nous sommes aujourd’hui confrontés à une crise existentielle inédite. Le monde est au bord de l’effondrement écologique. Les tensions politiques se multiplient. La désinformation abonde.

A new industrial revolution has begun. Like mechanization or electricity before it, artificial intelligence will touch every aspect of our lives—and cause profound disruptions in the balance of global power, especially among the AI superpowers: China, the United States, and Europe. Autonomous weapons expert Paul Scharre takes listeners inside the fierce competition to develop and implement this game-changing technology and dominate the future.

各地・各学校でのIT機器（主にタブレット）の導入について、筆者なりの「現場への導入はどうあるべきか」「どういう条件を大切にすべきか」という意見を述べてみたい。 ■管理はどうするのか 学校でIT機器を使うということは、児童・生徒だけでなく、教師も含め「不慣れな人の山の中で使う」ことである。まあ、すばらしくよくわかっている先生・生徒がいる場合もかなりの割合で想定できるのだが、そうした人々には依存しないように全体戦略を立てるのが望ましい。 そういう意味で考えると、「管理」は2つの観点で成り立っている。(本文より)小寺・西田の「金曜ランチビュッフェ　はこちらから→http://yakan-hiko.com/kode-nishi.html

Artificial intelligence surrounds us. More and more of the systems and services you interact with every day are based on AI technology. Most AI is narrowly specific; that is, it can only do a single thing, in a single context. Human intelligence is different. We can solve a variety of tasks, including those we have not seen before. In Artificial General Intelligence, Julian Togelius explores technical approaches to developing more general artificial intelligence and asks what general AI would mean for human civilization.

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, 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.

For years, consumers have been promised a simple, carefree digital future. We could live, work, learn, and play from the comforts of our homes, and have whatever we desire brought to our door with the flick of a finger. Instant communication would bring us together. Technological convenience would give us more time to focus on what really mattered. When the pandemic hit, that future transformed into the present, almost overnight. And the reviews aren't great.

Artificial intelligence is revolutionizing the modern world. It is ubiquitous-in our homes and offices, in the present and most certainly in the future. Today, we encounter AI as our distant ancestors once encountered fire. If we manage AI well, it will become a force for good, lighting the way to many transformative inventions. If we deploy it thoughtlessly, it will advance beyond our control. As AI policy experts Ben Buchanan and Andrew Imbrie show in The New Fire, few choices are more urgent—or more fascinating—than how we harness this technology and for what purpose.

Douglas Rushkoff is widely considered to be one of most cutting-edge thinkers of our time. In his book Program or Be Programmed, Rushkoff asks the question: Do we direct technology, or do we let ourselves be directed by it and those who have mastered it? BetterListen! is delighted to make a available a talk Rushkoff gave on his fascinating new book.

In 1979, Elizabeth Eisenstein provided the first full-scale treatment of the 15th-century printing revolution in the West in her monumental two-volume work, The Printing Press as an Agent of Change. This abridged edition, after summarizing the initial changes introduced by the establishment of printing shops, goes on to discuss how printing challenged traditional institutions and affected three major cultural movements: the Renaissance, the Reformation, and the rise of modern science.

コロナ禍の2020年、高木利弘氏と大谷和利氏の対談もいつものスタジオではなく、各自の自宅からZoomで打合せをしつつ、二人の手元のレコーダーで対談の音声を収録するというリモート収録で実施しました。

In this groundbreaking work, pioneering technology thinker and economist W. Brian Arthur sets forth a boldly original way of thinking about technology. The Nature of Technology is an elegant and powerful theory of technology's origins and evolution. It achieves for the progress of technology what Thomas Kuhn's The Structure of Scientific Revolutions did for scientific progress.

Two leading data scientists offer an up-close and user-friendly look at artificial intelligence: what it is, how it works, where it came from and how to harness its power for a better world. Dozens of times per day, we all interact with intelligent machines that are constantly learning from the wealth of data now available to them. These machines, from smartphones to talking robots to self-driving cars, are remaking the world in the 21st century in the same way that the Industrial Revolution remade the world in the 19th.

コンピュータメディア、デジタルメディアは従来のメディアとまったく違う次元のメディアであり、その本質は触覚の伝送にあります。次世代メディア成功の鍵はまさしくここにあり、すでにiPad現象の出現などでそれが証明されつつあります。触覚メディアとは何か。そしてそれを手中にする方法は。長年ラジオ、テレビ、新聞、出版、音楽、映像、ゲームなどのメディアで経験を積んだ筆者が、印刷機、映画・テレビに続く第三のメディア、触覚メディアを解説する本邦唯一の手引書です。(C)2010 iJockey

現在の日本経済を覆っているデフレは、たんなる景気循環による不景気ではない。かつての驚異的な高度成長のベースにあった産業資本主義が形を変え、ポスト産業資本主義に変質しつつある大転換に、日本の「会社」がうまく対応できないために起こっているのだ。日本が二十一世紀を生き抜くためには、産業資本主義時代のまま生き残っている個々の「会社」の仕組みを根本から洗い直し、新しい資本主義にふさわしい形にしていかなければならない。本書は、会社の仕組みを基礎の基礎からやさしく説き起こし、経営者、サラリーマン、そして、これから就職する学生諸氏が、新しい資本主義にふさわしい会社のあり方、新しい働き方を考えるヒントを提供する。第2章　会社という不思議な存在

現在の日本経済を覆っているデフレは、たんなる景気循環による不景気ではない。かつての驚異的な高度成長のベースにあった産業資本主義が形を変え、ポスト産業資本主義に変質しつつある大転換に、日本の「会社」がうまく対応できないために起こっているのだ。日本が二十一世紀を生き抜くためには、産業資本主義時代のまま生き残っている個々の「会社」の仕組みを根本から洗い直し、新しい資本主義にふさわしい形にしていかなければならない。本書は、会社の仕組みを基礎の基礎からやさしく説き起こし、経営者、サラリーマン、そして、これから就職する学生諸氏が、新しい資本主義にふさわしい会社のあり方、新しい働き方を考えるヒントを提供する。第6章　日本型資本主義の起源

Because Internet is for anyone who's ever puzzled over how to punctuate a text message or wondered where memes come from. It's the perfect book for understanding how the internet is changing the English language, why that's a good thing, and what our online interactions reveal about who we are. Language is humanity's most spectacular open-source project, and the internet is making our language change faster and in more interesting ways than ever before.

Artificial intelligence powers Google's search engine, enables Facebook to target advertising, and allows Alexa and Siri to do their jobs. AI is also behind self-driving cars, predictive policing, and autonomous weapons that can kill without human intervention. These and other AI applications raise complex ethical issues that are the subject of ongoing debate. This volume in the MIT Press Essential Knowledge series offers an accessible synthesis of these issues.

How we can get more joy from our machines by telling them what our hearts desire. In this informative, accessible, and very funny book, Michael L. Littman inspires listeners to learn how to tell machines what to do for us. Rather than give in to the fear that computers will steal our jobs, spy on us and control what we buy and whom we vote for, we can improve our relationship with them just by learning basic programming skills. Our devices will help us, Littman writes, if we can say what we want in a way they can understand.

In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent - really - are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant methods of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought that led to recent achievements.