An interesting dive into the world of biological and artificial intelligence. Life 3.0 by Max Tegmark is a fascinating read exploring societal challenges and opportunities related to AI. The book was published in 2018 and you can tell that some things feel a little outdated with the rapid development of AI models. That said I believe the book does a good job of showcasing the importance for humanity to regulate the development of artificial intelligence in a responsible manner. We should strive to create solutions for potential problems with AI in the future now, instead of waiting until the issues arise.
I read this book as a part of my weekly book club with my friends. It made for interesting discussions on topics like eternal life, equality between humans and machines, the future of work, and what makes for a fulfilling life. This was a great book to discuss as the different perspectives and discussions were incredibly helpful in improving my understanding and creating interesting thoughts.
⏳The Book in 3 Sentences
- The way AI is being developed, it is on the path to widening the gap between the poor and the wealthy, but it has the potential to instead bridge the gap if we put the right structure in place.
- Humanity needs to ensure we align human goals and the goals of AI. This will be an important component of AI having a positive impact and to do this all of humanity needs to align their goals too.
- Most AI researchers believe the creation of superintelligent AI to be inevitable. Although it is uncertain when this will happen, we should start preparing humanity for this event.
The book explains how both artificial and biological intelligence works and how this relates to the development of AI. Max Tegmark is good at explaining concepts in a manner that makes it easier to understand the technology behind these things. With that said the concepts he explores sometimes require deeper technical knowledge to understand and even though I have studied many of the topics the book covers at a university level I struggled to follow at times.
The book took many topics surrounding AI that to me had been abstract before and made them more concrete. I feel as though I have a better overview of the development of AI and the challenges it poses for humanity and society. You will not be an AI expert after reading this book, but you will be a more educated citizen and probably understand more of the debate surrounding AI going on in society. This is something that I believe is valuable for all of us.
📖Who Should Read It?
Have you read about the rise of AI and how ChatGPT will replace your job in the next few years only to feel like this all seems like a black box of things you don’t understand? Then I believe this could be a great book to pick up to gain a better understanding of what these models are doing. You will gain a basic understanding of ML, neural networks, and the future development of AI.
Some of the concepts in the book however might be complicated if this is the first time you are learning about AI and ML research, but that is fine. It was hard for me to understand some of the concepts in the book but I still felt like I could take away a lot of lessons. If you are interested in the topic of AI and the future I believe this is a great book to read. It feels like a good foundation to enable you to continue learning more from other resources.
👩🏫Lessons I Have Learned
How my life / behavior / thoughts / ideas have changed as a result of reading the book.
- I have realized the importance of taking a proactive instead of reactive stance on AI development. Even if you think AI is a long time away from human-level intelligence it is more beneficial to set the rules and safety parameters now than when a problem occurs in the future.
- AI and automation are going to replace a lot of jobs in the future. Max Tegmark’s tips for his children on their careers was to focus on areas that include three components: First of all jobs that require interacting with other people and social skills. Secondly, jobs that demand creativity and solving complex problems, and finally jobs that take place in an unpredictable environment.
- Ever since reading the book I am more aware of the big role AI and machine learning plays in my everyday life. Algorithms and AI models govern a lot of modern life in a way that is fascinating, impressive, and sometimes a little scary.
📝Summary + Notes
Max Tegmark is a Swedish-American physicist, cosmologist, and machine learning researcher. In his book Life 3.0, he shows what life might be like when AI reaches or surpasses human-level intelligence. The biggest call to action in the book is for people to get involved in AI development and help ensure a positive outcome.
Tegmark explains how AI has the potential to either lead to a more fair and just society or one that increases the gaps even more and makes the wealthy even wealthier. This book serves as an introduction to the challenges and opportunities AI presents and aims to leave you wanting to learn more!
1. Technology drives inequality in three different ways according to Andrew McAfee and Erik Brynjolfsson:
- Educated > Uneducated - Old jobs are replaced by new jobs requiring higher skill levels. This gives educated labor a bigger slice of the growing pie compared to uneducated labor.
- Capital > Labor - With almost zero marginal cost in the digital economy more revenue is going to the investors than to the workers. This imbalance means that those earning “money from money” accrue larger amounts of the value than before.
- Superstars take a larger portion of the pie - Digitalization and globalization have increased competition and enabled access for more people to the “best” in different fields. These superstars accrue more of the wealth as people don’t want to pay for the tenth best when the best is available. This means a widening gap between average performers and the superstars
2. Technology does not progress linearly, instead it compounds and progresses exponentially
The progress of technology has been exponential throughout history. In computing, this has been described by Moore's law which says that every two years the number of transistors on an integrated circuit would double. This means computing power gets both more powerful and cheaper over time. This is not a universal law, but the trend has been similar over the decades since Gordon Moore made the prediction in the 1960s. These improvements have compounded and today computers are multiple times more powerful.
In terms of AI development, Max Tegmark presents the case that AI improvements compound too. As better and more powerful AI models are built they can be used to improve upon the next generation. This creates a compounding effect and eventually leads to superintelligent AI according to Tegmark. Humans are generally bad at projecting exponential growth rates and we often underestimate the growth. This is important to remember in all parts of life!
3. One of the most fascinating aspects of human (general) intelligence is the ability to learn
As humans, we are able to learn a ton throughout our lives. We learn how to walk, talk, solve math equations, and cook food. All of these are things we learn to do after we are born. This ability is a big contributor to how humans have come to thrive and dominate our planet.
For a long time, this has also been something that we are much better at than computers. Machines have been better than humans at specific knowledge like calculating numbers for a long time. A calculator is a lot quicker at calculating big numbers than I am. This was however things that could be programmed ahead of time, like when a chess computer is able to compute the best move by computing ahead. The difference with the more advanced AI models of today is that they are actively learning by practicing with themselves. They no longer rely on computing ahead of time, instead, they have a ton of "experience" from billions of simulated games.
4. The Universe does not give meaning to our lives, it is conscious beings that give meaning to our Universe
Without consciousness, the Universe is just space. Objects and matter floating around. This shows us that our lives are not given meaning life by the Universe. Instead, what creates meaning in the Universe is conscious beings creating it. Without consciousness, there is no happiness, beauty, or purpose. For this reason, we should enable consciousness to survive and thrive, be it human or artificial according to Max Tegmark.
5. "Work keeps at bay three great evils: boredom, vice, and need" - Voltaire
Our jobs often provide us with more meaning than only providing income and monetary benefits. For many people, their work can give them purpose, allow them to meet new people, and learn new skills. This means that providing people with income is not enough to guarantee that they live good lives. It is a part of the equation but does not solve it entirely.
I found this an important insight to bear in mind for the future in general. I have seen many people that rely on their careers for a purpose in life and self-image. When these people eventually retire, their lives can sometimes seem empty. Work does not have to be your identity but it often is a big part of your life and it is worth spending time finding things outside of work that give you meaning, allow you to meet new people, and find other valuable things in the human experience.
6. Keeping an open mind and establishing relations with the newer generation will help you stay young at heart and in terms of new ideas and solutions
This idea comes from Max Tegmark telling us how Freeman Dyson, a world-renowned physicist famous for the Dyson sphere, would eat lunch with the young post-docs and colleagues. At the time Dyson was 93 but he did not let that stop him from having bold new ideas and challenging the paradigm. Dyson did not let normal social customs dictate who he had lunch with instead he followed his interest and curiosity and talked to the younger researchers at lunch.
7. "Bigger = Slower" is often true
This principle is not only true in biology but also for future cosmic life. If information can only travel at the speed of light there will be restrictions to how far communication can spread. A hypothetical AI that spreads out across the universe would only then be able to send information at the speed of light and over long distances this could cause delays. This might require a decentralized flow of information.
I feel this is often true in organizations and businesses too. When an organization gets bigger it also becomes slower. In my experience in a larger organization, more people need to evaluate and confirm every decision leading to slower bureaucratic processes. This is correlated with large organizations often being more risk averse, they have more to lose so they often end up avoiding risks at all costs.