In 2025, I found plenty of time to listen to podcasts, but didn’t make enough time for more challenging reads. To resolve this imbalance, I purchased an Audible subscription and I have resolved to read (listen to) at least 26 books this year. After reading each book, I’ll log it here with a brief summary of my takeaways and some reflections.

I’m thinking of reading mostly non-fiction books this year, to balance out an emphasis on fiction in previous years and to make progress in building my understanding of the world.

A pattern that has emerged after the first few books is that I want to look out for things I learn in each book I read that are of relevance to my work in AI safety and alignment. Of course, I typically pick books that have some chance of relevance since both my work and my book choices are downstream of my broad interests, but often the specific connections I spot are unexpected.

Contents:

• 1. Deep Utopia by Nick Bostrom
• 2. Feline Philosophy by John Gray
• 3. Replacing Guilt by Nate Soares
• 4. What is Life? by Erwin Schrödinger
• 5. Why Greatness Cannot be Planned by Kenneth O. Stanley and Joel Lehman
• 6. The Art of Doing Science and Engineering by Richard Hamming
• 7. You Can Just Do Things by Cate Hall
• 8. Four Thousand Weeks by Oliver Burkeman
• 9. Mathematics: A Very Short Introduction by Timothy Gowers
• 10. Free Software, Free Society: Selected Essays of Richard M. Stallman
• Up next?
• Looking for recommendations

§1. Deep Utopia by Nick Bostrom

Audible audiobook. Listened (2.0x), Jan 23–31, 2026.

Bostrom is a futurist and philosopher, and Deep Utopia (2024) is his exploration of the potential and limitations of a realistic utopian future for humanity. I got a lot out of reading Superintelligence back in the day so I had been meaning to give this new book a try since it came out.

Channeling Plato, the book’s philosophical discussion is framed as a fictional series of lectures delivered by Bostrom, interleaved with dialogues between a group of friends auditing the class. Bostrom also splices in various technical readings, including some stories from alternative universes in which sentient animals or appliances strive towards their own utopian visions. I suspect there were some allegorical elements of the alternative universe stories and the hints at university (dis)function that went over my head, but I mostly came for the explicit philosophical discussion in the lectures, and I think I was able to follow most of that.

As with Superintelligence, the philosophical discussion revealed to me that concepts I had a folk understanding of were actually deeper than they appeared, or introduced useful concepts and distinctions that I think I will find useful in framing my thinking going forward. For example:

• Bostrom taxonomises various barriers humanity could face in implementing a utopia, beyond just physical limits and also including various ‘reachability’ constraints. I appreciated this broader and unified discussion of constraints.

• Bostrom had a habit of asking, for a given human value, why do we have that value? This is obviously of interest to me as an alignment researcher. He repeatedly appealed to a concept of ‘intrinsification,’ where instrumentally useful things over time come to seem instrinsically valuable to us.

I think these kinds of things are good examples of the value of reading good philosophy, and I am overall happy I read the book.

Also as with Superintelligence, I didn’t find all of the book’s discussion philosophically satisfying. For example:

• One recurring theme that stood out was that I generally felt that the topic of developing humans into the best versions of themselves was under-treated. Perhaps this is out of scope as Bostrom is specifically talking about a utopia for us, present humans. I think I might just have an intuitively broader notion of us that includes some of who we could be? I’m not sure, I would have liked to see how Bostrom would frame this. He does discuss some related issues of identity loss later in the series.

• A more pedantic complaint. At a couple of points Bostrom suggests creating isolated situations where humans limit their access to utopian technological affordances in order to achieve certain kinds of value that the affordances undermines. He explicitly says that one could consider these people to be leaving utopia, but he prefers to consider the isolated situations as still being part of utopia. I didn’t appreciate this being dismissed so readily.

I will say, I had a much longer list of incredulous margin notes in Superintelligence. It’s on my mind to re-read that some day and see how well my complaints hold up.

Overall, the book seemed incomplete to me. I would have liked to see more of the stories of Feodor the Fox and ThermoRex the space heater—it felt like there was more to develop in both. Moreover, the final lecture in the fictional series was also open to the public, and consequently dropped most of the prior motivation of discussing utopia in order to give Bostrom’s self-contained account of ‘the meaning of life.’ I was hoping there would be a final discussion that connected this account back to the discussion of utopia, explored how our search for meaning would play out in utopia.

Note: This was a long and dense book. I followed fine, but I don’t think I will retain most of it. Of course, I would ideally like to retain valuable things I read this year, so, going forward, I’m going start trying to take notes while reading and write a summary of the key ideas in each book as I see them at the end.

§2. Feline Philosophy by John Gray

Audible audiobook. Listened (2.0x), Feb 2–9, 2026.

Feline Philosophy (2020) is a short exploration of the contrast between the ways cats and humans orient to life. I learned a few cool things about cats. According to Gray:

• Domestic cats are very genetically similar to their wild ancestors, apart from having slightly shorter legs and more colourful fur.

• They also have smaller brains, but it’s particularly the parts of the brain responsible for ‘fight or flight’ response that has shrunk, presumably because their environment tends to be somewhat less hostile.

  Aside: It’s amazing how often I find things that seem relevant to AI alignment when reading random books!

• Cats have never been pack animals, they are independent. They are happy to live with humans, but they don’t think in terms of hierarchies of dominance. They will form groups of cats only out of convenience. They will love humans but not in a dependent way.

• Cats are “selfless egoists.” This sounds oxymoronic but he means they are egoists in that they think only of their own needs while also being selfless in the specific sense that they don’t concern themselves with their identity or self-image.

This leads Gray to claim that cats were never domesticated—rather, they domesticated humans. Fun line; it reminds me of Harari’s take on the agricultural revolution from the perspective of crops.

The book made general claims about cat behaviour, and drew examples mostly from cats in literature or biographies, so I’m not sure how carefully each of these claims has been studied. But they seem plausible.

Anyway, of course, the book was just as much, if not more, about humans as it was about cats. Here’s some things I learned about humanity.

• First of all, it’s striking that at one point it was totally normal for people to think cats were unworthy of moral consideration, or worse:

  • Descartes experimented on cats, managing to somehow prove in the process of torturing them that the cats had no souls. (I think he experimented on dogs in similar ways too.) Philosophy of mind is hard, I guess?

  • Western religious societies until relatively recently viewed cats as devils, sometimes ritually burning them alive. (Of course they also did this to women accused of witchcraft.)

  • Even scientists used to feel totally free to torture cats in order to study pain. (These days there are animal ethics guidelines that might stop this but I think I have met some scientists that would be sympathetic to it on utilitarian grounds.)

• On the other hand, animist civilisations like Egyptians saw cats as embodiments of gods. To me this shows that very many different civilisational world views are possible.

• According to Gray, cats teach us that the meaning of life is in the living of life and not in the questioning of why. From what I hear about his other writing, he views humans as more similar to animals than they like to think. Except, he points out, humans have self-awareness and accordingly self-consciousness and this leads to their problems.

  • Humans orient to the world by writing stories about their lives. However, this makes it difficult when the stories are disrupted, can lock them into unpleasant roles (such as when someone views their life as tragic, they can become unable to escape the tragedy), and prompts people to think ahead prematurely to their own death (the end of their story).

  • He links self awareness to the fall of man—once you know you are in paradise, you are no longer in paradise.

There was quite a lot more in the book. Stories of many historical philosophers who had written about similar topics, and several cats and their owners, friends, and foes. These were interesting but I didn’t focus as much on remembering the details.

I think I extracted the main message of the book, that we should live more in the moment. But the book was a bit meandering, so it wasn’t obvious what the hierarchy of ideas was meant to be. There is a nice list of ten principles at the end, and the book was short and sweet, so would be pretty easy to re-read.

§3. Replacing Guilt by Nate Soares

Podcast audiobook. Listened (1.5x), Feb 15–27, 2026.

Nick Marsh recommended I pick up this 2015–2016 sequence by Nate Soares. Apart from reading Rationality: from AI to Zombies, I haven’t engaged much with LessWrong sequences. Time to start working on that. Note that as part of my broad definition of “generalised readings,” I’m happy to count a thematic collection of essays towards my yearly goal. As it happens, this collection does have an overarching structure, and has technically been published as a book, and there is an official audio version by Gianluca Truda (this is the version I listened to).

This time, I experimented with taking much more detailed notes than for the previous readings. During and after each essay, I would try to summarise the structure of the argument in my own terms. This was a useful exercise and ultimately helped me get a lot more out of the book, to the point where I could afterwards synthesise the below detailed summary. However, the detailed note-taking made it less convenient to listen, for example it was hard to listen while doing housework, and a little dangerous to listen while walking down High Street typing notes into my phone. I don’t expect to be able to keep this up for all of the books I read going forward. By default, I probably want to revert to listening without feeling obligated to take detailed notes (unless I specifically want to study a particular book in this much detail). I might try listening more slowly than 2x speed by default, as a compromise.

Anyway, in this case, I took the detailed notes. I thought the ideas were valuable enough that it was worth spending the time to write myself a detailed summary attempting to synthesise into a coherent story what I saw as the key ideas in Replacing Guilt. I have published the result as a standalone post. Here, I will just give a brief summary and some reflections.

The brief summary is as follows. In my estimation, the book has two parts.

1. The first is the titular contribution: the thesis is that chronic guilt is an unnecessary component of an effective motivation system. Soares considers many situations in which one may feel guilt (failing to meet an external objective, failing to do something you stereotypically ‘should’ do, failing to do things that are actually psychologically impossible, and many others). In each case, he argues that the guilt can either be refined into guilt of another form, or can be dismissed because suffering it has no positive consequences. All remaining guilt must arise due to failing systematically to meet intrinsically-derived objectives. In this case, Soares completes the argument by showing that positive, intrinsic motivation and a mindset of scientific self-improvement are more effective than using chronic guilt as an expensive punishment for failing to meet these kinds of objectives.

2. That argument does not assume any particular individually-affirmed value system. However, the book spends an equal amount of time exploring Soares’ own intrinsic values, which centre around eliminating suffering and unwanted death in the long-run future. Soares points out that from the perspective of this value system, the current state of the world is extremely grim, presenting a challenge for intrinsic motivation of this kind. Therefore, he offers various strategies for rising to this challenge, including embracing the darkness as a source of resolve, avoiding resorting to despair, and a grab-bag of other rationalist strategies for being effective in the face of extreme challenge.

I should say that this decomposition of the book isn’t crisply reflected in the book itself. The book mostly discusses the dismantling of the guilt-based motivation near the beginning, and mostly advice for taking on the ‘dark world’ in the latter half, but the topics are coupled and both are discussed throughout the entirety of the book.

This is not to say I thought the book wasn’t well written. To the contrary, I found the writing and arguments extremely clear and the examples relatable and compelling. It’s natural for a sequence of essays written somewhat serially and then collected into a book to result in a somewhat non-linear story.

I don’t think I’m someone who struggles with chronic feelings of guilt to the extent of some of the examples Soares discusses. Nevertheless, I’ll gladly take on board the above framework for tapping into intrinsic motivation and coping with the darkness of our world. The advice seems sound to me, at least given the consequentialist/existentialist premises (I am tentatively on board with these, but would need to think more before fully endorsing them).

The book contains many examples, anecdotes, arguments, and detailed pieces of advice. Some I have recapitulated at the level of my detailed summary. Others didn’t end up being mentioned in my summary, though nevertheless I expect they will serve me well (particularly the essays “half-assing it with everything you’ve got,” “failing with abandon,” and “rest in motion”). The essay “the allegory of the stamp collector” contains the at-this-point-obligatory alignment-relevant material in the form of some good examples for agent foundations research—though this time it is not unexpected, given Soares’ position at MIRI.

I am happy to recommend people read the book themselves for a higher fidelity version of the whole collection of ideas. I’m certainly glad I picked it up. Thanks for the recommendation, Nick!

§4. What is Life? by Erwin Schrödinger

Audible audiobook. Listened (1.0x), Mar 8–16, 2026.

Every now and then, I hear about What is Life? The Physical Aspect of the Living Cell (1944) and I remember how awesome it sounds and how much I would like to read it. Though I’ve never had a copy on my bookshelf, I consider this a good example of one of the predictably deep books on my shelf I systematically haven’t read. Well, that was the old me. I resolved to be no longer afraid to throw myself into deep ends. When the book came up again recently, I took my chance and started listening immediately. It wasn’t long into the introduction before I knew I had made the right choice.

Read more…

(As with Replacing Guilt, I took detailed notes, and I’ve factored out my summary and reflections into a standalone post. I’m planning to keep factoring out lengthy reviews into their own posts going forward. However, for some books when I don’t have the spare time to take detailed notes or consolidate my thoughts into a full summary/review, I’ll keep it brief and keep it here.)

§5. Why Greatness Cannot be Planned by Kenneth O. Stanley and Joel Lehman

Home-made TTS audiobook. Listened (1.0–2.0x), Mar 16–30, 2026.

Lately, I’ve been thinking about what to focus on during my PhD research. I started going about this by listing ambitious open problems in my field, and then trying to brainstorm approaches to solving them. A couple of people pointed out that this approach is not necessarily going to work. Why Greatness Cannot be Planned (2015) is meant to be a book that describes the perils of an ‘objective-driven’ approach for solving ambitious problems and offers an alternative approach. So, I gave it a read.

This book is about the pursuit of greatness. By greatness, the authors mostly refer to great (big) innovations in science and technology or the arts, referring to examples like inventing computers or AGI, curing cancer, or defining a new genre of music or painting. Good, I think—this is similar to what I am after. Most of the technical examples are more about engineering inventions rather than breakthroughs in scientific understanding, which is more my goal, but the boundary between science and invention is sometimes fuzzy, and there might be enough overlap for lessons to transfer. We’re off to an OK start.

Unfortunately, from there, things become troubled. To my mind, the basic framework for thinking about objective-driven search is confused, the arguments against objective-driven search do not support the sweeping claims that the authors seem to want to make. I don’t think I’ve fundamentally misunderstood the book—I have the same kind of background as the authors (in classical AI and machine learning), and at each point the examples and claims make sense to me, it’s just that I think they are mostly ill-conceived, incorrect, or insufficient to support the argument.

Overall, I found the book extremely frustrating to read. Aside from seeming wrong, I found the structure frustratingly unsystematic and repetitive. Whenever I read work like this, I have a strong urge to clean up the mess the authors left, carefully tracing and untangling the logical structure of the argument supporting the thesis in order to discover what properly measured conclusions can actually be drawn. I don’t generally have time to write other peoples’ books for them, so I would like to take this opportunity to request that people stop publishing their intellectual contributions before they are fully baked.

Nevertheless, if I attempt to look past these issues, there is definitely some substance to the book—I will in the following attempt to piece together the argument before taking to it with a pickaxe aiming to find the seam of insights from within. After all, I really want to solve ambitious problems, and I am probably going to need all of the advice I can get.

More planned…

§6. The Art of Doing Science and Engineering by Richard Hamming

Audible audiobook. Listened (1.0x), Mar 30–, 2026.

I recently revisited Hamming’s “You and your research.” I had forgot that it has much more advice than just the famous Hamming questions. This book is a write-up of a course-length treatment of Hamming’s study of great scientists and engineers. Seems like I could still learn a lot from this.

Reading stalled…

§7. You Can Just Do Things by Cate Hall

Audible audiobook. Listened (2.0x), Aug 15, 2026

I hit a bit of a reading block after opening Hamming. But then I remembered, I can just read books. So I just read this one, immediately.

The book was really very excellent. It had a lot of useful motivational stories and helpful framings. It successfully smashed my reading block. I listened very fast and didn’t take detailed notes. I definitely need to read it again to get and reflect some more on the advice, write about it, and incorporate them into my life. I plan to just do that, hopefully soon.

I wouldn’t say I’m exactly the target audience for all of the book’s advice. A lot of the suggestions seem to be for people who have somewhat of a lack of ambition. I have plenty of ambition, at least in principle. I struggle more with having a surplus of exciting and ambitious things to do, and not being great at prioritising them in order to spend my time doing the most exciting and ambitious things. Well, I guess I should just do better at that, too.

§8. Four Thousand Weeks by Oliver Burkeman

Audible audiobook. Listened (1.0–1.5x), Aug 16–Sep 19, 2026

I knew immediately upon opening this book that it was not exactly what I expected. I also knew immediately that it was exactly what I needed to read.

Four Thousand Weeks (2024) is something like the opposite of a productivity guide. It’s more of a stirring polemic against the very idea of getting on top of one’s schedule. Burkeman really puts his finger on some problems I seem to be running into in my life.

I am actively digesting this book’s positions. I don’t know if I follow them all the way, but I definitely want to think more, and plan to write a detailed book review. Ironically, that will have to wait a bit, there is a lot of other stuff for me to do!

§9. Mathematics: A Very Short Introduction by Timothy Gowers

Second-hand copy (purchased at Alongside, Bath). Read Sep 11–12, 2026.

I find the Very Short Introductions books to be pretty hit-or-miss. I decided to give Mathematics (2002) a try though, and it was definitely a hit. Timothy Gowers gives a delightful tour of the philosophy behind modern mathematical research, with accessible examples. This was a pretty easy read for me because I have already got some experience with academic mathematics (though I wouldn’t exactly call myself a mathematician, I’ve spent enough time around them), but there’s still something satisfying about seeing the deep patterns you haven’t named put into words on the page in front of you.

As is customary, I also noted some ideas that seem relevant to understanding AI and its impact on society.

• There is a passage on what it means to be able to “visualise” something abstract and nonphysical like a four-dimensional cube. Gowers claims that visualisation is the adoption of a mental representation of a mathematical object that makes the answers to certain questions directly observable, rather than requiring one to stop and calculate. This is an object-specific skill that can be developed. I sometimes think about related general questions about the nature of cognition, which I think is pretty relevant to understanding AI and its future development. It’s nice to see that kind of pattern showing up in mathematics research.

• Gowers writes about the “twin processes of abstraction and generalisation” at play in mathematics. Mathematicians often find satisfying and useful generalisations of concepts by finding abstract properties associated with the concepts and then generalising those properties in a more obvious way. He gives many nice algebraic and geometrical examples of this process. The idea that identifying abstract properties allows you to generalise seems interesting from the perspective of understanding the generalisation capabilities of modern AIs. Previously, I thought about AI generalisation as driven by AIs identifying a modular decompositions of a computation, such that each module is specified by existing data, allowing new inputs to run through the system in a different way but along individually-well-trodden paths. This seems related, but not quite as general as the mathematician’s perspective of generalisation through “properties.” What is an abstract property? How is it related to modularity in computation?

• There’s a passage about where ideas come from and how they are collected within the mathematical community. Gowers claims that most ideas that mathematicians come up with have been thought of before, especially elementary arguments. When people have original ideas, they have to have come from somewhere. One plausible source is that the person has taken the time to study and develop a particularly unique perspective on a problem. Over generations, the mathematical community collects this progress and mathematicians work for years to reach the frontier of collective mathematical knowledge.

  Gowers explains that because of all of this, it’s rare for amateurs to be able to make original contributions. I am more interested in the implications for AI’s introduction to mathematical society—a microcosm for the disruption AI could bring to society proper. It seems that today’s AI has something like an expert-level understanding of the collective of mathematical knowledge, and is beginning to make original contributions. However, the traditional academic mathematical processes for collecting and distilling new contributions are at serious risk of being overwhelmed by these advances. While the community has rightfully rejected the participation of amateurs who circumvent established processes, this was made easier by the fact that the amateurs usually have nothing original to say. Modern AI changes that tradeoff, and it seems the academic community will soon be forced to adapt, or collapse.

I must say, on that note, Gowers impressed me with his brief section on how mathematicians use computers in their work. He explains that most mathematicians find computers of some limited use but ultimately don’t find them a source of useful mathematical ideas. However, Gowers speculates that this situation is temporary, and that computers will be able to automate progressively more of the job of the research mathematician, and eventually the entire job. In 2002, that claim was pretty bold, and recent events in the field appear to be proving it quite prescient. Gowers, it seems, had already come close enough to the spirit of mathematics to hear the clicking of its gears.

Speaking of whatever humanity there is to mathematics, the brief closing section touches on the topic of mathematical beauty. Gowers claims that there is a kind of aesthetic pleasure to be found in certain mathematical results. I certainly found the book a pleasure to read, however I am left wondering, there must be more to aesthetics than mere pleasure, at least if there is more to anything at all than that.

§10. Free Software, Free Society: Selected Essays of Richard M. Stallman

RMS-signed copy (FSF Auction, Oxford, Apr, 2025).

Join us now and share the software. You’ll be free, hackers, you’ll be free.

Reading in progress…

§Up next?

Here are some books on my reading list (no promises).

• Machine Agency by James Mattingly and Beba Cibralic.

• Ladies, We Need to Talk by Yumi Stynes and Claudine Ryan, on a recommendation from the most important lady in my life.

• The Fabric of Civilization: How Textiles Made the World by Virginia Postrel.

• Scale by Geoffrey West.

• The Sciences of the Artificial by Herbert A. Simon.

• Technics and Civilization by Lewis Mumford.

• Inventing Temperature: Measurement and Scientific Progress by Hasok Chang.

• I’ve Been Thinking by Daniel C. Dennett.

• The Origin of Consciousness in the Breakdown of the Bicameral Mind by Julian Jaynes.

• The Hero with a Thousand Faces by Joseph Campbell.

• The Precipice by Toby Ord, which I started once upon a time, but never finished.

• Reasons and Persons by Derek Parfit, I assume it will be difficult but I am keen to give it a shot.

I welcome further recommendations!

§Looking for recommendations

I’ve been looking for single-volume histories on various topics. Can you help?

• World history (to fill in gaps in my framework for understanding the past).

  • A Short History of the World by H. G. Wells.

  • A Little History of the World by E. H. Gombrich.

  • A World History by William H. McNeill.

  • The Outline of History by H. G. Wells.

• Overviews of western philosophy:

  • An Illustrated Brief History of Western Philosophy by Anthony Kenny, claims to be an improvement over Bertrand Russell’s.

• History of the industrial revolution (taking suggestions).

• History of nuclear technology (taking suggestions).

• History of science (taking suggestion).