100 books like AI 2041

This book picks up where Evening in the Palace of Reason leaves off, with Bach composing the Musical Offering on a horrible theme from King Frederick.

It explains canons and fugues, and thus helps you understand Bach’s work better, but it then goes on a safari through the intellectual landscape of ideas related to fugues–strange loops, self-similarity, recursion, and of course the guys in the title. It’s not for everyone, but if you like any two of logic, philosophy, or music, give this a try.

A primary reason to love math is because of its usefulness. This book shows two sides of math’s applicability, since it is so ubiquitously used in various algorithms.

On the one hand, such usage can be good, because statistical inferences can make our life easier and enrich it. On the other, when these are not properly designed or monitored, it can lead to catastrophic consequences. Mathematics is a powerful force, as powerful as wind or fire, and needs to be harnessed just as carefully.

Cathy O’Neil’s message in this book spoke deeply to me, reminding me that I need to be always vigilant about the subject I love not being deployed carelessly.  

The first comprehensive book on new tech and its impacts, following big steps made in AI progress in the early 2010s. The authors bring home the point that we are undergoing a watershed moment as tools no longer substitute merely for physical labor encroach on mental tasks – hence the book’s title.

After centuries of fleeing blue-collar jobs to take refuge in cerebral work, we are being left with nowhere to run. Not only that, but past technology would automate a given task, whereas the looming Artificial Intelligence is bound to intervene in many, many tasks currently handled by humans.

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.

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.

This book is as close as you can get to making sense of intelligence in a way that enriches our understanding of AI. And it opens the door with a bang: Starting from human intelligence, it is highlighted that how a brain made of simple cells creates intelligence remains a mystery.

I appreciate the strength of the book which does not surrender in front of the immense obstacle of figuring out the most complex system in the known universe, our brain, but it moves on and eloquently expresses the ultimate goal of thousands of scientists: to understand the mechanics of the human mind.

This proposed theory of intelligence allowed me to lay the foundation of comparing human and machine intelligence in a meaningful manner.

If ever a subject deserved the sweeping hand of a highly skilled journalist/historian, it’s generative AI and machine learning. The field is shaped by its founders’ idiosyncratic and fascinating personalities.

NYTimes reporter Cade Metz observed many events first-hand. We read about Go Grandmaster Lee Sedol recovering from losing to Google’s AI by mastering the machine’s logic. We see Geoffrey Hinton flying supine because of his back problems, and the origins of Joy Buolamwini’s famous Gender Shades project.

We get the backstory to the most serious issues: like how well can AI developers be trusted to manage risk? As a journalist-historian myself, I deeply appreciate being immersed in contemporary history. 

This is the book I suggest to people who worry that AI will take their jobs or control the world.

These U of Toronto economists make a case for AI as a disruptor of systems and power structures – not on their own, but because of the decision makers who control them. Those companies won’t necessarily be Alphabet, Amazon, or Meta. Their competitive advantage – access to data – will now be available cheaply.

It’s judgment that’s at a premium now. After reading this, I feel pretty trusting of AI. I’m just not so sure about people.   

Another classic, which influenced my book. Ron is the founder of RiskThinking AI, which focuses on the financial effects of climate change.

His fascinating stories include one of the first fatalities from self-driving cars, when it struck a woman with a bicycle running to cross the road. Any human driver would have seen an uncertain image and slowed down, playing out a group of possible scenarios. But AI hasn’t learned that kind of humility.

Eventually, when it does, the machines and people will learn how to manage risk together, and that will lead to more courage. The best part of this book is his insight into how the use of new technology changes human behavior.  

Diamandis’ book is one of hope, sort of like applying Kurzweil’s futurism to pure business. And like his friend Kurzweil, the author’s enthusiasm is contagious: one emerges from this book ready to march forth and change the world.

Peter insists that while we may look back at the successes of Zuckerberg or Musk, the best is yet to come; that looking back a few decades from now, people will think: “this was a formidable time to set out and start a business”.

Indeed that was the case at the first stages of every industrial revolution, and the 4th should bear no different. Unless entrepreneurship is suffocated by Big Tech incumbents and overly cautious regulators.