100 books like The Second Machine Age

Egan is an Australian science fiction writer.

To my mind, he’s written better about AI than any other science fiction writer, because he takes it seriously. He recognizes it represents enormous change.

Permutation City is about a time in history when uploading becomes possible and very rich people can upload themselves into machines that operate quickly and in real time.

Poorer people have to upload themselves into machines that process very slowly and so they live very slow versions of life. 

I'm not sure when I have learned more about humanity than with the books of Yuval Harari.

I recommend this book as it is the first of the series, and I could read it over and over and still not have captured everything that Yuval Harari explores and teaches us.

A great historian who uses history to explore our future, Yuval Harari is one whose books I read every chance I have.

This is the now classic work on why “advanced” civilization developed in some places and not others in human history. It remains a controversial issue.

A psychologist, ecologist, and geographer with a background in field study in New Guinea, Diamond makes a strong argument that there are environmental reasons for these differences. Ranging across all the continents and thousands of years of human history, I found it hard to put down and even harder to understand how Diamond can work in so many fields at once!

Some do not like this daring book. But nobody has surpassed it yet. 

I hate the way people toss around the term, disruption, to describe everything under the sun, neutering the value of the term in describing why disruption matters. Christensen’s book relies on empirical research, not hyperbole, to describe what makes innovations disruptive and why many companies fail to respond to disruptive innovations. I use the book and a series of Harvard Business Review articles co-authored by Christensen in one of my classes as a way to help my students understand the unique challenges of marketing disruptive innovations. Inevitably, the students who resist the concepts the most are the ones who write several years after graduation about how they are seeing Christensen’s concepts playing out in their markets. 

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.

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!

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.

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.

With recent advances in large language models such as GPT-4, it is predicted that AI capabilities in terms of general decision making and problem solving may exceed that of humans even in less than a decade. Is this good or bad news?

This book is a must-read for anyone who wants to understand and navigate this difficult topic. Of particular interest are Bostrom’s two groundbreaking observations: the orthogonality thesis (any level of intelligence can be combined with any final goal) and the instrumental convergence thesis (any sufficiently non-trivial final goal will also create instrumental goals of self-preservation, efficiency, creativity, and unbounded resource acquisition).

A top pick for anyone who wants to figure out the prospects for the human civilization in the face of superhuman artificial general intelligence.

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.