The greatest scholarly and popular-science books that both pros and amateurs can enjoy

This is actually not one book but a five-volume (!) series of books which contains some of the best writing on classical music I’ve ever come across.

Taruskin, who passed away recently, was a legendary musicologist. In his writings, he managed to combine analytic writing that addresses his colleagues with unbelievably sharp and insightful writing that I, as a classical music fan who is not a pro, enjoy tremendously.

Taruskin loved picking intellectual fights, and this sort of combative energy is gripping. In this series, there are major story arcs like the interplay between “oral” and “literate” traditions or the role of nationalism in 19th-century music. I liked how Tarsukin switches smoothly between a close analysis of a piece and a discussion of how it relates to the wider culture.

In the ongoing debates over artificial general intelligence (AGI), Judea Pearl is taking a firm stand: He argues that an intelligent robot should be able to reason about causality and that the currently fashionable approaches to AI miss this aspect.

A celebrated AI researcher and a Turing Prize laureate, Pearl has developed an amazingly original approach to this problem. This book is a high-end popular exposition of his approach.

But it’s so much more than that. It’s a history of statistics and its conflicted attitude to causality. It’s a story of heroes (or villains?) in this history. And it’s a scientific autobiography that describes Pearl’s journey. Pearl likes picking fights with the AI community, statisticians, or economists. He’s boastful, provocative, extremely intelligent, and knows how to tell a story.

I am an academic economist, but even more interested in intellectual debates. I discovered this book when I was a PhD student, and it has remained a favorite of mine.

In the 1970s, macroeconomics (not my field) underwent a revolution. The old guard was “Keynesian,” the new Turks were “new classical”. This book is a series of conversations from the early 1980s with the protagonists of this epic period, many future Nobel laureates.

The interviewer, Arjo Klamer, was interested in the rhetoric and culture of economics, and he constructed the interviews in a way that nicely brought out these elements. The interlocutors are brilliant, acerbic, and funny. If you think economics is dry or boring, you won’t think so after seeing how passionate these people are.

Although I am a classical music fan, 19th-century romanticism isn’t generally my cup of tea. And yet, I couldn’t stop reading Charles Rosen’s book about the romantic composers in 1830-1850.

While Richard Taruskin was an academic scholar with a side gig as a performer, with Charles Rosen, the situation was reversed. His identity as a professional pianist is quite palpable in this book. However, as with Taruskin, I enjoyed how Rosen was able to move back and forth between analyses of musical scores and discussions of the wider European culture in the 19th century.

This book helped me become a huge fan of Schumann’s piano music. What more can one ask from a book on music?

A simple (not perfect) test of whether you’re going to love this book: Just check out the author’s blog, called “shtetl-optimized”. The style is similar: sharp, funny, mixing professional theoretical Computer Science with broader takes.

I am still in the middle of the book, and nevertheless, I’m happy to recommend it. As an amateur with superficial CS knowledge, I am enjoying this introduction to classical complexity theory and the basic theory of quantum computation.

Aaronson’s distinctive style makes the ride all the more enjoyable. It’s neither a “real” textbook nor a pop-science book. It’s in a weird space somewhere in between, and I love it!