検索キーワード： 制作 "--Tyson Hanks" テクノロジー・社会

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3章　会社の仕組み

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?

ック系のインタビューアーとしても有名な大谷和利氏が、プロフェッショナルなプログラマとして活躍する、中野洋一氏と落合徹氏のお二人をゲストに迎えて、様々な側面からプログラミングのススメを語り合います。

In 2023, hundreds of AI luminaries signed an open letter warning that artificial intelligence poses a serious risk of human extinction. Since then, the AI race has only intensified. Companies and countries are rushing to build machines that will be smarter than any person. And the world is devastatingly unprepared for what would come next.

The scramble to create superhuman AI has put us on the path to extinction – but it's not too late to change course. Companies and countries are in a race to build machines that will be smarter than any person, and the world is devastatingly unprepared for what will come next. How could a machine superintelligence wipe out our entire species? Will it want to? Will it want anything at all?

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1章　なぜいま、日本の会社はリストラをするのか

New technologies are offering companies, politicians, and others unprecedented opportunity to manipulate us. Sometimes we are given the illusion of power—of freedom—through choice, yet the game is rigged, pushing us in specific directions that lead to less wealth, worse health, and weaker democracy.

今後5年で世界のあらゆるものが動画化する―。

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

スマホを“悪者”にするのは親の無知「プログラミング教室」だけが正解ではないITアレルギーの保護者必読!家庭でできる、デジタル社会で群を抜いて活躍する子の育て方

ドローン「ファントム」のＤＪＩ。スマホや通信機器のファーウェイ。

In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments.

Minimalism is the art of knowing how much is just enough. Digital minimalism applies this idea to our personal technology. It's the key to living a focused life in an increasingly noisy world. In this timely and enlightening book, the best-selling author of Deep Work introduces a philosophy for technology use that has already improved countless lives.

In How Progress Ends, Carl Benedikt Frey challenges the conventional belief that economic and technological progress is inevitable. For most of human history, stagnation was the norm, and even today progress and prosperity in the world's largest, most advanced economies—the United States and China—have fallen short of expectations. To appreciate why we cannot depend on any AI-fueled great leap forward, Frey offers a remarkable and fascinating journey across the globe, spanning the past 1,000 years, to explain why some societies flourish and others fail in the wake of rapid technological change

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.

Moonshot Moments is a marriage of science, philosophy, history, and futurism. Bestselling author Milan Kordestani chronicles his journey to thrilling and unforeseen frontiers in our understanding of consciousness, the self, and humanity's cosmic destiny. His exploration moves beyond the growing anxiety over rapid AI development to offer a unifying, transhumanist vision for the future of humankind. He delves into the biohacking of human consciousness, exploring how, amid a world offering both suffering and joy, we can cultivate presence and discover meaning in our lives.

いま半導体産業には第３のビジネスモデルが誕生しつつある。

Over the past two centuries, economic growth has freed billions from poverty and made our lives far healthier and longer. As a result, the unfettered pursuit of growth defines economic life around the world. Yet this prosperity has come at an enormous price. At this time of uncertainty about growth and its value, award-winning economist Daniel Susskind provides an essential reckoning. In a sweeping analysis full of historical insight, he argues that we cannot abandon growth but shows instead how we must redirect it, making it better reflect what we truly value.

We are about to cross a critical threshold in the history of our species. Everything is about to change. Soon we will live surrounded by AIs. They will carry out complex tasks-operating businesses, producing unlimited digital content, running core government services and maintaining infrastructure. This will be a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy. It represents nothing less than a step change in human capability. We are not prepared.

It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills - and maybe an advanced degree or two. These days, high-level tasks are increasingly being handled by algorithms that can do precise work not only with speed but also with nuance. These "bots" started with human programming and logic, but now their reach extends beyond what their creators ever expected.