Here are 100 books that The Second Machine Age fans have personally recommended if you like
The Second Machine Age.
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I discovered mind uploading in 1997 via a nonfiction book by Earl and Cox. That book literally changed my life, opening my eyes to concepts I had never previously considered. I joined groups and organizations that advocate for and advance research toward eventual mind-uploading technology. My enthusiasm for the topic ultimately culminated in my 2014 nonfiction book and then again in my 2024 novel, Contemplating Oblivion. The novel presents my philosophy concerning the purpose of existence and the universe, offering an answer that is closely tied to our destiny to one day computerize the brain, upload humanity, and populate the galaxy.
I specifically recall the scene in which a mind-uploaded character is being subjected to interesting psychological experiments, such as having his neural processing slowed, sped up, and even completely halted without feeling any awareness of those changes.
This book is a fascinating philosophical deep dive into the relationship between functionalism and consciousness. The other thing I was personally drawn to was the story’s use of cellular automata and artificial life since these areas of computer science have been passions of mine even longer than mind uploading.
"Egan is determined to make sense of everything - to understand the whole world as an intelligible, rational, material (and finally manipulable) realm - even if it means abandoning comfortable and comforting illusions. This is fundamental to the whole project of SF and it's why Egan's Best - and his Rest - is worth any number of looks. -Locus
What happens when your digital self overpowers your physical self?
A life in Permutation City is unlike any life to which you're accustomed. You have Eternal Life, the power to live forever. Immortality is a real thing, just not the thing…
I have for 28 years helped organizations around the world scale their business. I'm a dedicated innovator and thought leader in artificial intelligence and digital commerce. My passion for innovation thrives in exploring how AI can transform businesses and improve lives. I've authored 10 books and shared my insights as a professional speaker to educate, inspire, and motivate others. I love delving into the future of AI and innovation, which drives me to constantly learn and share knowledge. This list reflects the books that have significantly influenced my journey. My life is about pushing forward, always looking for alternatives to understand where those paths might lead us.
Yuval Noah Harari connects the dots between our past and the future, providing insights into how we've shaped and been shaped by innovation.
This book inspired me to think about the broader implications of AI and technology on our species. It fuels my passion for leveraging innovation to make a positive impact on society.
100,000 years ago, at least six human species inhabited the earth. Today there is just one. Us. Homo sapiens. How did our species succeed in the battle for dominance? Why did our foraging ancestors come together to create cities and kingdoms? How did we come to believe in gods, nations and human rights; to trust money, books and laws; and to be enslaved by bureaucracy, timetables and consumerism? And what will our world be like in the millennia to come?
In Sapiens, Dr Yuval Noah Harari spans the whole of human history, from the very first humans to walk the…
I am an unusual scientist in the sense that I have doctorates in both biology and anthropology, so I am very interested in the dichotomy between what our bodies truly want (biology) and how we are supposed to behave, or tell others to behave, in our cultural settings (cultural anthropology). Amazingly, studies show that we spend more time and attention in our lives living for others for what they think of us, than doing what we truly want, and that we often regret that, when we are close to dying. These books make us reconsider that way of living, so we can change this before it is too late.
This book was written by a biologist with a profound knowledge of the natural world, including our species. It is one of the best books written by a scientist. It combines biology, anthropology, and history to explain a lot about where we came from and why some countries are wealthier than others, rooting such discussions on biology.
Why did Eurasians conquer, displace, or decimate Native Americans, Australians, and Africans, instead of the reverse? In this "artful, informative, and delightful" (William H. McNeill, New York Review of Books) book, a classic of our time, evolutionary biologist Jared Diamond dismantles racist theories of human history by revealing the environmental factors actually responsible for its broadest patterns.
The story begins 13,000 years ago, when Stone Age hunter-gatherers constituted the entire human population. Around that time, the developmental paths of human societies on different continents began to diverge greatly. Early domestication of wild plants and animals in the Fertile Crescent, China,…
How many people have had a great idea and just needed to gain support within a large organization to move ahead? I have, over and over again, along with very accomplished teams. It’s often hard work to create something new. It requires both art and science. When people understand how it works, they elevate their craft and achieve more while lifting others up. Some of them even change the world. I’ve found great wisdom and amazing stories of courage and adventure from people who have already been there, done that, and written about their experiences. I hope these book recommendations broaden your perspective and inspire your imagination!
This is perhaps the best-known book on innovation inside large companies. When discussing technological change, people have mentioned it to me more than any other book—by a large margin! It includes examples from industries ranging from hard disks to excavators and even offers an earlier look at the prospects for electric vehicles.
It is especially interesting to see how past success can lead to complacency that hinders sustained growth and financial health. In the process, Christensen underscores how important it is for companies to continue innovating within—even when business is going well and even when acquisitions seem alluring and less difficult. This is a must-read because it establishes foundational knowledge on the importance of continued investment to sustain success.
Named one of 100 Leadership & Success Books to Read in a Lifetime by Amazon Editors A Wall Street Journal and Businessweek bestseller. Named by Fast Company as one of the most influential leadership books in its Leadership Hall of Fame. An innovation classic. From Steve Jobs to Jeff Bezos, Clay Christensen's work continues to underpin today's most innovative leaders and organizations. The bestselling classic on disruptive innovation, by renowned author Clayton M. Christensen. His work is cited by the world's best-known thought leaders, from Steve Jobs to Malcolm Gladwell. In this classic bestseller--one of the most influential business books…
I’m an economics professor, but I also have a column in Australia’s leading financial newspaper so I really appreciate authors who can tackle complex topics in an accessible manner. I’m also both extremely interested in and do academic research on topics to do with technologies like two-sided platforms, cryptocurrencies, blockchain, and artificial intelligence. All these books made me think harder about the big issues in these areas, and how to combine rigorous research with what is actually happening—often at breakneck speed—in the real-world digital economy.
This book helped me understand why advances in artificial intelligence are going to have a big impact on productivity and economic growth. I loved the analogies to old technologies like electrification of factories, and newer examples like how Team New Zealand used simulations to change racing tactics and boat design.
The book has an important, big idea at its heart. That idea is that AI helps organizations make better predications, and those better predictions allow organizations to be fundamentally redesigned to take advantage of this. This is where the AI productivity revolution comes from.
"What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.
But in Prediction Machines, three eminent economists recast the rise of AI…
I build and use emerging technological innovations in business, and I also teach others how they might too! I’m a serial entrepreneur and a Professor at the Wharton School of the University of Pennsylvania. As an entrepreneur, I co-founded and developed the core IP for Yodle Inc, a venture-backed firm that was acquired by Web.com. I’m now the founder of Jumpcut Media – a startup using data and Web3 technologies to democratize opportunities in Film and TV. In all this work, I'm often trying to assess how emerging technologies may affect business and society in the long run and how I can apply them to create new products and services.
This book by Steven Blank is a bible for anyone trying to understand how to build lean startups. The classic mistake that most entrepreneurs make is to go build a product soon after they develop a hypothesis about what customers want. By building products before customer discovery (i.e. verify customer needs and a scalable sales model), many products miss the mark and fail. The book explains how a lean start-up can figure out what customers want before proceeding to build products. This emphasis on a customer-centered approach rather than a product-centered approach can be the difference when it comes to finding product-market fit. A must-read for any founder!
The bestselling classic that launched 10,000 startups and new corporate ventures - The Four Steps to the Epiphany is one of the most influential and practical business books of all time. The Four Steps to the Epiphany launched the Lean Startup approach to new ventures. It was the first book to offer that startups are not smaller versions of large companies and that new ventures are different than existing ones. Startups search for business models while existing companies execute them.
The book offers the practical and proven four-step Customer Development process for search and offers insight into what makes some…
I build and use emerging technological innovations in business, and I also teach others how they might too! I’m a serial entrepreneur and a Professor at the Wharton School of the University of Pennsylvania. As an entrepreneur, I co-founded and developed the core IP for Yodle Inc, a venture-backed firm that was acquired by Web.com. I’m now the founder of Jumpcut Media – a startup using data and Web3 technologies to democratize opportunities in Film and TV. In all this work, I'm often trying to assess how emerging technologies may affect business and society in the long run and how I can apply them to create new products and services.
This book provides an excellent description of the various kinds of machine learning approaches and asks the question of whether there will be a Master Algorithm, one single (universal) algorithm that learns all kinds of tasks from data. The author, Pedro Domingos, introduces the different approaches to building intelligence and the research tribes exploring them – Symbolists (with its foundations in Philosophy and Logic), Connectionists (foundations in Neuro/Cognitive Science), Evolutionaries (foundations in Evolutionary Biology), Bayesians (statistical foundations), and Analogizers (Psychology). He also introduces some of his own ideas on what the master machine learning algorithm might look like. It’s a really useful primer for those who are not deeply immersed in machine learning but it’s written for readers with at least a basic engineering and computer science background.
Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new drugs. More and more, these algorithms work by learning from the trails of data we leave in our newly digital world. Like curious children, they observe us, imitate, and experiment. And 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.Machine learning is the automation of discovery,the scientific method on steroids,that enables intelligent robots and…
I am a classicist (Greek and Latin) and a serious student of history. Modernity has obsessed me for the last 10 years, how it unfolds, what its implications are, whether it generates more gains than losses, whether it’s changing us profoundly and whether we can dodge it or not. Because of this interest (which I lecture on often) I am fascinated to see modernity’s gleanings in earlier times and always curious to see what other critics make of it. Because its effects will only grow down the road, the task of understanding its mechanisms and outcomes is one of extreme urgency, as these books illustrate in different ways.
This book is one of the nuttiest I’ve read in its imaginings of a modern world on steroids. The part that teases most is that its predictions might come true.
I know our smartphones and laptops have changed our world, but cures that would extend longevity ad infinitum? Neural interfaces that would connect us directly to the internet? Nanobots that would reduce the cost of goods to zero?
Because the topic of modernity has come to engross me so, the big question always is, “How far will it carry us?” The answer to which (according to Kurzweil) is much farther than you can possibly imagine and much sooner than you think. One should have one’s mind blown every couple of years, and Kurzweil does exactly that.
"Startling in scope and bravado." -Janet Maslin, The New York Times
"Artfully envisions a breathtakingly better world." -Los Angeles Times
"Elaborate, smart and persuasive." -The Boston Globe
"A pleasure to read." -The Wall Street Journal
One of CBS News's Best Fall Books of 2005 * Among St Louis Post-Dispatch's Best Nonfiction Books of 2005 * One of Amazon.com's Best Science Books of 2005
A radical and optimistic view of the future course of human development from the bestselling author of How to Create a Mind and The Singularity is Nearer who Bill Gates calls "the best person I know at…
My passion for generative AI first ignited in 2016 when I spoke about it at a conference, and ever since then, I can’t stop! I've created an online course, a newsletter and even wrote a book to spread knowledge on this groundbreaking technology. As an instructor, I empower others to explore the boundless potential of generative AI applications. Day in day out, I assist clients in crafting their own generative AI solutions, tailoring them to their unique needs.
I absolutely love Nick Bostrom's book because it dives deep into the fascinating yet daunting future of artificial intelligence, a topic that resonates with my own work. Bostrom's exploration of how superintelligent AI could emerge and the profound risks it poses is both thought-provoking and essential reading for anyone curious about technology's trajectory.
His insights on the challenges of control and alignment really struck a chord with me, as they highlight the importance of designing AI systems that prioritize human values. This book not only raises critical questions but also inspires a sense of urgency to navigate the future responsibly, making it a personal favorite and a vital resource for anyone interested in the intersection of AI and ethics.
The human brain has some capabilities that the brains of other animals lack. It is to these distinctive capabilities that our species owes its dominant position. Other animals have stronger muscles or sharper claws, but we have cleverer brains.
If machine brains one day come to surpass human brains in general intelligence, then this new superintelligence could become very powerful. As the fate of the gorillas now depends more on us humans than on the gorillas themselves, so the fate of our species then would come to depend on the actions of the machine superintelligence.
I have over 2 decades of finance control and general management experience spanning the manufacturing and retail sectors, in big names like LVMH. A finance controller’s job is all about efficiency and involves learning every new tool available that can help to achieve that goal. Through this work, I realized how many people are not ready for the tidal wave of disruption about to hit employees with AI and other technological changes. I was utterly shocked at not being able to find a single sensible guidebook with solutions actionable by workers.
A wakeup call for many. Martin made the case of how tech is accelerating and impacting work, bringing the threat of massive unemployment to the public scene, and insisting that it’s not only blue-collar jobs that are concerned.
Critics noted a narrow stance that fails to account for factors like shifting demographics and trends like gigging. And massive unemployment has not yet materialized, though to his defense less than a decade has passed since. The only remedy from Martin – Universal Basic Income – is not a miracle solution applicable worldwide.
The book’s focus is more on convincing audiences of the upcoming problems than working on solutions. Setting aside these critics, Rise of the Robots remains an undeniable classic for anyone curious about tech’s impact on work.
Winner of the 2015 FT & McKinsey Business Book of the Year Award A New York Times Bestseller Top Business Book of 2015 at Forbes One of NBCNews.com 12 Notable Science and Technology Books of 2015What are the jobs of the future? How many will there be? And who will have them? As technology continues to accelerate and machines begin taking care of themselves, fewer people will be necessary. Artificial intelligence is already well on its way to making good jobs" obsolete: many paralegals, journalists, office workers, and even computer programmers are poised to be replaced by robots and smart…
