Here are 100 books that A Hacker's Mind fans have personally recommended if you like
A Hacker's Mind.
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I am a business and technology journalist with a particular interest in mobility startups. I penned my book after purchasing an EV from startup Better Place, only to discover the company was nearly bankrupt. How did I miss that? I’m supposed to be able to do due diligence! I started writing about cars as a reporter for the Advanced Interactive Media Group. I’m a regular contributor to The Jerusalem Post and Israel21c and have also ghostwritten four business books. Before I wrote about tech, I was starting companies: My own Internet publishing startup, Neta4, raised $3.2 million in 1998. I received my B.A. in Creative Writing from Oberlin College.
I had to include this book in the list. It’s not a business book, per se—this is hard science fiction—but the Earth’s response to a far-off alien invasion leads to all kinds of business and technological innovation, from “hibernation chambers” to the development of spacecraft that can travel at close to light-speed.
I then went on to watch the Netflix series, but the book is the real deal. I’m a slow reader, which meant I spent at least a year reading through all three books—but it was so worth it!
Read the award-winning, critically acclaimed, multi-million-copy-selling science-fiction phenomenon - soon to be a Netflix Original Series from the creators of Game of Thrones.
1967: Ye Wenjie witnesses Red Guards beat her father to death during China's Cultural Revolution. This singular event will shape not only the rest of her life but also the future of mankind.
Four decades later, Beijing police ask nanotech engineer Wang Miao to infiltrate a secretive cabal of scientists after a spate of inexplicable suicides. Wang's investigation will lead him to a mysterious online game and immerse him in a virtual world ruled by the intractable…
I’m a New Zealand philosopher who’s written a lot about the human enhancement debate. Philosophers are well known for their willingness to defend unpopular conclusions against all critics. Sometimes they engage in what I call “philosophical shit-stirring". You may think that’s a profanity but it’s actually a technical term. I’ve advocated some deliberately unpopular shit-stirring conclusions in the past. One of these is liberal eugenics - the idea that you can turn an evil like eugenics into something good by prefacing it with the feel-good term “liberal”. These dialogues are the beginning of a philosophical stock-take on what we should or might become.
There’s a lot of thoughtless talk by techno-optimistic philosophers about futures in which we all get to become superintelligent and live for thousands of years if we can apply the right tech to ourselves.
Sykes describes fascinating research on the Neanderthals, beings who were almost, but not quite, us. Reading her book, I wondered what it might have been like to grow up as the child of a union between a Homo sapiens and a Neanderthal. I found this especially useful when we consider future relationships between people determined to remain human and others who want tech to make them posthuman ASAP.
There’s so much information to gleen from Sykes to help us guess at how posthumans might treat beings whom they view as different and possibly inferior.
** WINNER OF THE PEN HESSELL-TILTMAN PRIZE 2021 **
'Beautiful, evocative, authoritative.' Professor Brian Cox
'Important reading not just for anyone interested in these ancient cousins of ours, but also for anyone interested in humanity.' Yuval Noah Harari
Kindred is the definitive guide to the Neanderthals. Since their discovery more than 160 years ago, Neanderthals have metamorphosed from the losers of the human family tree to A-list hominins.
Rebecca Wragg Sykes uses her experience at the cutting-edge of Palaeolithic research to share our new understanding of Neanderthals, shoving aside cliches of rag-clad brutes in an icy wasteland. She reveals them…
I’m a New Zealand philosopher who’s written a lot about the human enhancement debate. Philosophers are well known for their willingness to defend unpopular conclusions against all critics. Sometimes they engage in what I call “philosophical shit-stirring". You may think that’s a profanity but it’s actually a technical term. I’ve advocated some deliberately unpopular shit-stirring conclusions in the past. One of these is liberal eugenics - the idea that you can turn an evil like eugenics into something good by prefacing it with the feel-good term “liberal”. These dialogues are the beginning of a philosophical stock-take on what we should or might become.
This final work in Banks’ Culture sci-fi series is all about technologically advanced species making the decision to sublime – to depart the “real world” to reside in “higher dimensions”.
As I read the book I found my philosopher’s brain bullied to understand what subliming could possibly be. When techno-enthusiasts propose radical human enhancement are they effectively suggesting that we should sublime? When the aspiring trillionaires of AI are asked about the future in which they make AIs much smarter than us, they get vague about the details.
The throwaway line of OpenAI’s Sam Altman and Microsoft’s Satya Nadella is “all bets are off” after they achieve their stated goal of artificial superintelligence. Should we approach the future gifts of AI much in the way that Banks’s characters approach the offer of subliming?
The tenth Culture book from the awesome imagination of Iain M. Banks, a modern master of science fiction.
The Scavenger species are circling. It is, truly, the End Days for the Gzilt civilisation.
An ancient people, organised on military principles and yet almost perversely peaceful, the Gzilt helped set up the Culture ten thousand years earlier and were very nearly one of its founding societies, deciding not to join only at the last moment. Now they've made the collective decision to follow the well-trodden path of millions of other civilisations: they are going to Sublime, elevating themselves to a new…
I’m a New Zealand philosopher who’s written a lot about the human enhancement debate. Philosophers are well known for their willingness to defend unpopular conclusions against all critics. Sometimes they engage in what I call “philosophical shit-stirring". You may think that’s a profanity but it’s actually a technical term. I’ve advocated some deliberately unpopular shit-stirring conclusions in the past. One of these is liberal eugenics - the idea that you can turn an evil like eugenics into something good by prefacing it with the feel-good term “liberal”. These dialogues are the beginning of a philosophical stock-take on what we should or might become.
What can you do if you’re gloomy about the state of the world? Rushkoff’s is a book in which the rich have largely given up on the all-in-it-together ideology of earlier times.
If the system is crumbing, can you get rich enough to escape before its final collapse? Reading Rushkoff’s book I wondered if the replacement of earlier times’ get-rich-quick schemes by today’s get-super-rich-super-quick offers explained how so many people were gulled by the fraudulent offers of Sam Bankman-Fried’s FTX crypto hedge fund.
Suppose you do manage to quit these schemes with sufficient money before they crash. Where can you flee? New Zealand, Mars…? During the Pandemic we in New Zealand heard much about people who wanted to shelter in Jacinda Ardern’s Aotearoa. If rich escape fantasists Google “New Zealand” and “climate change” they might want to hold out for Mars.
Five mysterious billionaires summoned Douglas Rushkoff to a desert resort for a private talk. The subject? How to survive the "Event": the societal collapse they know is coming. Rushkoff argues that these men were under the influence of The Mindset, a Silicon Valley-style certainty that they and their cohort can escape a disaster of their own making-as long as they have enough money and the right technology.
Rushkoff traces the origins of The Mindset in science and technology through its current expression in missions to Mars, island bunkers, AI futurism, and the metaverse. Through fascinating characters-master programmers who want to…
I’ve devoted my career to helping people achieve their potential and improve their wellbeing. One of the greatest challenges we’re all facing today is the highly unnatural world of work in which we all must perform. I’ve been fortunate both to lead large teams in this environment and to guide the Fortune 1000 on how to help their people thrive in its midst. Achieving sustainable peak performance requires that we understand what we are up against. This book list is a great place to start!
Kai-Fu Lee, once himself an AI pioneer, wrote AI Superpowers to help non-technical readers understand how and why AI is changing our world, with an emphasis on how it’s reshaping work. Lee breaks down which types of jobs are most vs. least likely to be replaced by AI, and offers wisdom on which skills it makes sense for all of us to lean into given those shifts. He also offers clear-eyed predictions about the potential for AI innovations to reshape global politics.
I enjoyed this book from page one. Lee’s prose is crisp and his points sharp. I appreciated his occasional meanderings into humanistic realms. This also feels like a personal book, given how much Lee himself has done to accelerate the AI revolution.
THE NEW YORK TIMES, USA TODAY, AND WALL STREET JOURNAL BESTSELLER
"Kai-Fu Lee believes China will be the next tech-innovation superpower and in AI Superpowers: China, Silicon Valley, and the New World Order, he explains why. Taiwan-born Lee is perfectly positioned for the task."-New York Magazine
In this thought-provoking book, Lee argues powerfully that because of the unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come…
Everyone uses technology, but few stop to think about where these technologies come from and what this trajectory means to humanity. During my professional career, I have dedicated myself to public service focused on security and defense as a U.S. Army officer, senior government civilian, and in think tanks, industry, and academia. My journey has taken me to over 60 countries where I have witnessed humankind's best and worst. The difference is often in how our technologies are used—to build cities, feed populations, and develop life-saving vaccines or to oppress peoples or as tools of war.
This book speaks to the opportunities and challenges for the participants in today’s Artificial Intelligence (AI) competition. It highlights the barriers to entry in this tech war—high costs, advanced hardware such as semiconductors and high-performance computing, and perhaps most importantly, access to human capital.
This book provides a roadmap for thinking about the current AI tech competition. It also highlights what is at stake if the United States does not lead in this space. The idea of AI development led by an authoritarian regime or a nation that does not place humanity first could arrive at solutions that are unfriendly and perhaps even hostile to humanity.
We like to think that we are in control of the future of "artificial" intelligence. The reality, though, is that we--the everyday people whose data powers AI--aren't actually in control of anything. When, for example, we speak with Alexa, we contribute that data to a system we can't see and have no input into--one largely free from regulation or oversight. The big nine corporations--Amazon, Google, Facebook, Tencent, Baidu, Alibaba, Microsoft, IBM and Apple--are the new gods of AI and are short-changing our futures to reap immediate financial gain.
In this book, Amy Webb reveals the pervasive, invisible ways in which…
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’m an assistant professor in the School of Information and Communication Studies at University College Dublin. I’m interested in automation because discussions about it often tend towards ridiculous hyperbole or acritical boosterism. Whether it’s killer robots that terminate humanity or “ethical” AI which raises all boats, discussions about the social implications of contemporary machines often neglect to include the critical analysis of the capitalist mode of production. I don’t think the two can be studied in isolation from one another.
This book, unlike the others, is less about theory and more about the contemporary reality of automation. It thus functions as an interesting test piece for the theoretical works preceding this one. Gray and Suri show that automation is not simply a progressive replacement of human by machine, but rather that each new automation application tends to generate a need for new kinds of labour which cannot (yet) be automated. The empirical work done here is a prime example of understanding what automation really is.
In the spirit of Nickel and Dimed, a necessary and revelatory expose of the invisible human workforce that powers the web—and that foreshadows the true future of work.
Hidden beneath the surface of the web, lost in our wrong-headed debates about AI, a new menace is looming. Anthropologist Mary L. Gray and computer scientist Siddharth Suri team up to unveil how services delivered by companies like Amazon, Google, Microsoft, and Uber can only function smoothly thanks to the judgment and experience of a vast, invisible human labor force. These people doing "ghost work" make the internet seem smart. They perform…
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…
I’m a Swiss researcher and university professor who applies mathematics and psychology to build quantitative models for financial decision-making. Most of my scientific contributions belong to a field of research called behavioral finance, that is, the study of how psychology affects financial decisions. I love mathematics, and I am fascinated by its ability to describe complex mechanisms, including those that generate human behavior.
From this book, I learned that cognitive errors and human misbehaviours are not necessarily in contradiction to rationality.
It taught me that the generally negative perspective on psychological mechanisms provided by behavioural economics is limited. By contrast, a deeper understanding of what rationality means is needed. This book enriched my own way of analyzing how psychological factors impact daily decisions.
For a long time, economists have assumed that we were cold, self-centred, rational decision makers - so-called Homo economicus; the last few decades have shattered this view. The world we live in and the situations we face are of course rich and complex, revealing puzzling aspects of our behaviour. Optimally Irrational argues that our improved understanding of human behaviour shows that apparent 'biases' are good solutions to practical problems - that many of the 'flaws' identified by behavioural economics are actually adaptive solutions. Page delivers an ambitious overview of the literature in behavioural economics and, through the exposition of these…
