Tag: writing

  • Writing Moats

    Good writers should not fear AI. Many types of writing that people enjoy reading cannot easily be replicated by machines. Also, writing is a good way to think and you shouldn’t let machines think for you. Instead of trying to compete directly with AI models, then, the best writers will instead adapt and double down on the parts of writing that celebrate their humanness.

    Unfortunately, I know many good writers who fear AI models. These writers think that a data center in the desert will soon make their career plans infeasible. Many of these writers are already quitting their blogs to focus on building companies in the physical world. Thousands of journalists have lost their jobs in recent years, in part because publishers think AIs can replace humans. This is true for some types of writing, but almost certainly false for other types of writing.

    If you are a writer who fears AI models, you should keep writing anyway. After all, writing is the best way to think, and , the world will soon be divided into the “Writes and Write-Nots,” as Paul Graham has written. The “writes” are those people who can write, and therefore think. The “write-nots” are people who cannot write, and therefore cannot think clearly enough. If you’d like to be a deep thinker in science, at work, or anywhere else, then you should keep writing, even if you never publish that writing online.

    Another reason to write is to influence the models, as Gwern has suggested. Most humans will soon use AIs to complete a majority of their cognitive tasks, because outsourcing thoughts to a data center is easier than actually thinking. But if you write a lot on a subject, then your views will be incorporated into training data, fed into AI models, and regurgitated to billions of people. Your views can therefore shape the future in strong ways, a bit like how Julius Caesar wrote his own memoirs to mask the fact that he was an egotistical psychopath. Modern writers with strong opinions will be immortalized in the models, even if the things they write don’t reflect their real beliefs or behaviors!

    There are other reasons to write, too. But lots of people, including Tyler Cowen, have already described them. I’ve seen far less discussion about how to write to stand out from AIs, though. And so I emailed three bloggers—Ruxandra TesloianuAbhishaike Mahajan, and Eryney Marrogi—with the same question: “What kinds of writing do you think are defensible in the age of AI?” All three responded (thank you). All three had good ideas (nice). With their permission, I’ve sifted through those ideas to arrive at an answer. (And yes, before you say it, this does mean that I outsourced part of my thinking to others.)

    One of the best ways to stand out, we all agreed, is to make things that only human hands, or the human mind, can make.

    When the camera was invented, artists feared that it would commoditize their work. The artists feared cameras would make it possible for even amateurs to create “art.” That was true, to an extent (look at Instagram), but what actually happened is that the arts were revitalized. A large swath of people began placing a premium on handmade paintings. And instead of merely painting what they saw, painters began to question realism and turn to the abstract instead. Art became an expression of individuality and taste, rather than a one-to-one mapping of reality. The same will come to pass in writing, says Adam Mastroianni:

    “It used to be that our only competitors were made of carbon. Now some of our competitors are made out of silicon. New competition should make us better at competing—this is our chance to be more thoughtful about writing than we’ve ever been before. No system can optimize for everything, so what are our minds optimized for, and how can I double down on that? How can I go even deeper into the territory where the machines fear to tread, territories that I only notice because they’re treacherous for machines?”

    Another way to stand out is to publish things that nobody else has. Maybe this seems obvious. Whereas many AI agents can search the Internet, they don’t yet have corporeal bodies to meet people face-to-face, in the same sensory environment. But there is a lot of alpha in having real conversations with real people in real places! On-the-ground reporting will retain its value for a long time for this reason. ProPublica’s investigative reporters should not fear for their jobs.

    Finding “new things” to write about doesn’t require traveling, either. A lot of information is never captured and published, even if that information seems obvious. Many powerful ideas exist only in the minds of a few people, or are only raised in a single conversation in one bar at a particular moment. Most researchers never publish failed experiments. Most people never think to write about what they did on a particular day, or how normal people reacted when the Internet was first introduced, or what people wore to Woodstock in the 1960s. But even a seemingly simple observation can become an important part of the historical record.

    Other writers will stand out because they are experts on a particular issue. Readers crave authority, and this will remain true for some time. Many people read the Wall Street Journal to get an economist’s opinion, in part so they can recite that opinion to people at a party later that evening. Many readers “hang their hats,” so to speak, on the opinions of experts.

    Brian Potter, the writer behind Construction Physics,is one example. His writing is often raised in online discussion boards because it includes original context that is otherwise missing from the public record. People see him as an expert, and rightly so. Potter reads many books (some of them obscure and out-of-print) while writing his essays, but also speaks with people in the field to gather context that nobody else has. He is uniquely equipped to say, “Y’know, this story in The New York Times says such-and-such, but I met a CEO last week who said that it’s not true for these reasons.” A large language model can’t do that.

    These “writing moats” may make the creative process feel like a painful ordeal. Perhaps it seems like the only people who will make it as writers are those who travel to war zones or go to lots of parties or spend years of their life studying a single field. But that’s not true! Most of my favorite essays have the same format: A person describes their experience with something, and then reflects on that something to arrive at a beautiful lesson. A machine can write prose that appears to reflect on an experience, but the lived nature of that experience belongs solely to the human author.

    Looking for Alice” is, ostensibly, an essay about dating. But its actual power stems from the personal stories and anecdotes scattered throughout—all of which are based on experiences common to all people. “Always Bet on Text” is evocative because the writer takes a strong stance for a thing—text—that they think other people don’t value enough. This essay works because the writer is clearly passionate about the subject, and because they express strong opinions with examples. “I Should Have Loved Biology” does both of these things well. It takes a strong stance, but also incorporates anecdotes and personal stories to drive the argument home; namely, that biology is beautiful, but textbooks teach it in all the wrong ways.

    There is absolutely nothing in these essays that is unique to any one individual, or that only experts could understand. None of these essays required on-the-ground reporting. All of these writers simply took personal observations, reflected on them, and distilled the lessons into a singular and poetic message. I love these pieces and yearn, every day, to read more of them.

    The ultimate moat, then, is individuality. “In many ways, this is the last moat of everything,” Abhi told me. It’s “people consuming something made by a human purely because they like the vibes of that human.” This is similar to the idea of taste; people consume Scott Alexander’s monthly roundups because they feature esoteric but interesting articles that are rarely mentioned anywhere else.

    As I was writing this essay, I began to reflect on my own writing career. I thought about my first staff job at a neuroscience magazine in New York, and how my editor told me which articles to write and whom I ought to interview to write them. I didn’t have much independence at that job, and I was never allowed to express a personal opinion in my articles. So after a year, I moved to work at a small nonprofit in Boston.

    My job at that nonprofit was to write blogs about science. I could write about anything, and my boss encouraged me to express strong opinions. But when I filed my first story, he merely skimmed the text, turned his head to look at me, and said, “This is so boring. Why do you write like this?”

    The truth is that my past slew of academic and corporate jobs had neutered my ability to write evocatively and creatively. Up until that point, I had never really stood up for anything in public. Perhaps I was afraid that people would attack me, or that my former mentors would be disappointed in my decision to publish argumentative or opinionated pieces. But that single sentence, uttered by my boss, shook me up. I started writing with fewer self-imposed restrictions. I stopped fearing the reactions of others. I decided to just be myself—to be uniquely human, and not give a damn.


    Thanks to Eryney Marrogi, Xander Balwit, and Alec Nielsen for feedback.

    1 Like Tyler Cowen, I don’t use AI to generate text for my essays because I don’t want to write in the style of the AI. But I do often use AIs as a reading companion, to ask questions, to do research, to find ideas more quickly than Google search, and so on. If your brain struggles against the yearning, aching feeling to take an easy way out—then fight that feeling!

    2 And it will become easier to get to the frontier of an issue, and therefore become an expert in a particular domain, because of AI.

    3 If original information becomes more valuable to the writing process, then I’d also assume that a writer’s physical place in the world will matter more, too. Deep conversations rarely happen over the Internet or on the phone (in my experience). In-person interactions have a lot of value. If you want to write deeply about biology, for example, then it’s probably best to live in San Francisco or Boston.

  • The Art of Emails

    Emails are underrated. Many people view them as purely functional — as just another part of the job. But they can be much more than that. Emails are a useful way not only to advance your career, but to actually become a better writer.

    First, consider the power of a “cold” email. Learning to reach out to strangers with a specific ask is one of the best ways to meet people you admire and to further your career. Nearly every job I’ve ever held began with a cold email, or through a connection with someone who I had cold emailed. Cold emails will set you apart because so few people send them. They show initiative and a heartfelt desire to speak with someone. They are genuine precisely because they are “cold;” they exist outside of a job’s duties, and thus indicate a true desire to connect with another human.

    But I think that writing cold emails is even more important for an entirely different reason. Namely, it will teach you to be a better writer, without you even realizing it.

    Consider Paul Graham’s essays. Many of them have titles like: “Putting Ideas into Words,” “Write Simply,” “How to Write Usefully,” and so on. These essays are filled with useful writing advice: “The easier something is to read, the more deeply readers will engage with it.” Or, “It’s not just having to commit your ideas to specific words that makes writing so exacting. The real test is reading what you’ve written. You have to pretend to be a neutral reader who knows nothing of what’s in your head, only what you wrote. When he reads what you wrote, does it seem correct? Does it seem complete?” And: “Just as inviting people over forces you to clean up your apartment, writing something that other people will read forces you to think well. So it does matter to have an audience. The things I’ve written just for myself are no good.”

    All of this advice applies to the cold email. A great email is tailored to a specific audience, a single person who is likely to read the thing you’ve written. If you want this person to reply, then your email must be thoughtful and clear. You should re-read and re-write the cold email until you’re convinced that the email will serve its goal: time, attention, money, a meeting, a chance, whatever. The email must be simple, logical, and engaging. A great email forces you to read your own words from their perspective, and then ask: “Would I be convinced of this?” Graham refers to this as getting ideas “past the stranger.”

    The next time you are struggling to write an essay, then, just think of it as an email. This simple exercise will force you to hold a specific audience in your mind. You’ll naturally ask: What do I want to say, and how will I convince them it’s true? The words will also flow more easily. I often find it’s difficult to sit down and write an essay, compared to an email, because my audience for the essay is fuzzy and I fear people will not like what I’ve written. These concerns go away when I imagine I’m writing for an audience of one.

    So open up a browser or a notepad, and start typing. Don’t worry about the structure. Just focus on saying what you want to say, as clearly as possible, for this one person. Then refine what you’ve written until the stranger is satisfied.

  • Underrated Science Books

    It’s generally a bad idea to write a book.

    First, it takes time away from other things you could be writing. And second, it freezes your ideas in time, such that you can’t easily take them back or tell readers, “Wait, no! I’ve changed my mind!” later on. Even worse, as Gwern wrote in a recent essay, is that:

    “A book commits you to a single task, one which will devour your time for years to come, cutting you off from readers and from opportunity; in the time that you are laboring over the book, which usually you can’t talk much about with readers or enjoy the feedback, you may be driving yourself into depression.”

    And what happens when a writer finally finishes their book? Well, that’s when their true task begins, for they must pray and plead with people to buy it. Despite a writer’s best efforts, however, odds are that very few people will read it.

    About 90 percent of books sell fewer than 1,000 copies. Half of all published books sell less than one dozen copies. Most best-selling books are written by celebrities and politicians (or their ghost writers) and existing authors with large, established audiences — Michelle Obama, Brandon Sanderson, Stephen King…that kind of thing.

    Just because a book sells poorly, or goes out of print shortly after it’s published, does not mean it’s not a good book. The market does not always have good taste! I suspect there will always be an eager audience for books by Nick Lane and Ed Yong, but many other excellent writers fly ‘under the radar.’

    I’d like to remedy this situation — just a bit! — by sharing some of my favorite ‘underrated’ science books. I selected these books simply because I enjoyed reading them and have never heard others bring them up in conversation. Note that this is not a ranked list, because people don’t seem to like those.

    Please share your own underrated book recommendations in the comments below.

    • 40 Years of Evolution, by Peter & Rosemary Grant. This is my favorite book in the bunch. It is written by two Princeton scientists — a husband and wife duo — who spent several months on Daphne Major, an island in the Galápagos, every year for forty years. While there, they captured finches and measured their beaks, observing evolution in real-time. It’s absolutely brilliant and highly underrated.
    • Ben Franklin Stilled the Waves, by Charles Tanford. This book recounts the story of Benjamin Franklin’s experiments with oil on water (I wrote about it here). The gist is that he dropped some oil on a pond in Clapham Common, London, and noted how it “stilled the waves.” In the late 1800s, Lord Rayleigh repeated Franklin’s experiments and made more precise measurements. By dividing the volume of oil by the area it covered upon the water’s surface, Rayleigh was able to calculate the oil’s thickness and, in doing so, estimate the length of a single molecule. His estimates were off by just 2 percent. I love this book because it shows how simple experiments and mathematics can, together, reveal the invisible by measuring the visible.
    • Invisible Frontiers, by Stephen S. Hall. This is the most readable book I’ve found about biotechnology’s formative years. It covers the invention of recombinant DNA and the race between academic scientists in Massachusetts, California, and a startup company called Genentech to create human insulin using engineered microbes.
    • Life’s Ratchet, by Peter M. Hoffmann. This book is subtitled, “How molecular machines extract order from chaos.” Hoffmann does a brilliant job explaining how proteins convert electrical voltage into motion, or how ‘tiny ratchets’ transform random motion into ordered outcomes. This is an accessible introduction to biophysics, and is filled with incredible statements. For example, while describing a protein that carries cargo through a cell, Hoffmann explains that 1021 of them would generate as much power as a typical car engine…Yet, this number of molecular machines barely fills a teaspoon—a teaspoon that could generate 130 horsepower!
    • Projections, by Karl Deisseroth. A brilliant modern take on neuroscience, written by one of its foremost practitioners. Deisseroth is a co-inventor of optogenetics, a technique that uses pulses of light to trigger action potentials in the brain. In this book, he explains how the method works and how it’s being used to map neural circuits. Deisseroth also draws from his experiences as a physician, using patient stories to illustrate how neurodegenerative and psychiatric diseases operate at a mechanistic level. A worthy successor to Oliver Sacks.
    • Where the Sea Breaks Its Back, by Corey Ford. First published in 1966, this is an adventure book first and a science book second. It chronicles the expedition of naturalist Georg Steller and Vitus Bering in the 18th century. Despite preparing to set sail for Alaska over a ten-year period, Steller spent just ten hours in Alaska. The crew later shipwrecked on an island for about a year and many men died. Throughout the voyage, Steller writes about sea otters near the Aleutian islands (their populations later collapsed) and gives detailed anatomical descriptions of sea-cows, which were later named after him. This book is reminiscent of Endurance, about Shackleton’s escape from Antarctica, but is more scientifically-driven.
    • The Life of Isaac Newton, by Richard Westfall. An accessible portrait of Newton, covering his contributions to optics and mathematics, but also his lesser-known pursuits in alchemy and theology. This is really the first book that made me appreciate Newton’s genius; all the others seem to overcomplicate the subject.
    • Magnificent Principia, by Colin Pask. The only book that actually helped me understand Newton’s Principia Mathematica. Divided into seven parts, Pask first describes Newton’s background and character, then dives into his scientific approach and explains what classical mechanics says about the world around us. Notably, there are lessons in here about the ‘risk-averse’ nature of modern science as opposed to the freewheeling methods that often governed discoveries in Newton’s day.
    • How Economics Shapes Science, by Paula Stephan. This book paints a detailed picture of science funding in the United States. It is so detailed, in fact, that it became outdated shortly after its publication in 2012. Still, I think this book is an essential read for scientists because Stephan exposes how funding, incentives, and economic pressures influence the direction and nature of scientific inquiry. This is the first book where I really felt like I understood how science works at a meta-level, and how we might be able to make it better (shortly after reading it, I went to work at New Science.)

    Other great books not on this list:

    • Mutants by Armand Marie Leroi
    • King Solomon’s Ring by Konrad Lorenz
    • Gödel, Escher, Bach by Douglas Hofstadter
    • The Demon Under the Microscope by Thomas Hager
    • The Vital Question by Nick Lane
    • Gene Machine by Venki Ramakrishnan
    • Edison by Edmund Morris
    • Tesla: Inventor of the Electrical Age by W. Bernard Carlson
    • The Invention of Nature by Andrea Wulf
    • The Billion-Dollar Molecule by Barry Werth
    • Stories of Your Life and Others (sci-fi) by Ted Chiang
    • The Wizard and the Prophet by Charles C. Mann
    • Laws of the Game by Manfred Eigen
    • The Lives of a Cell by Lewis Thomas
    • The Genesis Machine by Amy Webb & Andrew Hessel

    Book recommendations from Twitter:

    • How Life Works by Philip Ball
    • The Eighth Day of Creation by Horace Freeland Judson
    • Power, Sex, Suicide by Nick Lane
    • Cathedrals of Science by Patrick Coffey
    • Longitude by Dava Sobel
    • Beyond the Hundredth Meridian by Wallace Stegner
    • Trilobite by Richard Fortey
    • Altered Fates by Jeff Lyon and Peter Gorner
    • Gene Dreams by Teitelman
    • Breath from Salt by Bijal P. Trivedi
    • Alchemy of Air by Thomas Hager
  • Why I Write

    In the summer of 1946, shortly after the close of World War II, George Orwell published a short essay entitled “Why I Write.” He had already released Coming Up for AirKeep the Aspidistra Flying (my favorite Orwell novel), and Animal Farm — the last of which, published in 1945, launched Orwell to immense fame for the first time in his life. His essay on writing didn’t reach nearly as large an audience as his books, but it landed at a decisive moment, when people were deeply skeptical of propaganda and the lines between facts and political agendas had blurred in the aftermath of global conflict.

    I’m certainly no Orwell, but I do often feel as if I’m living through a momentous era of human history. This year alone, dozens of major news outlets have cut staff — usually by 10 percent or more — partly because of “fears” surrounding AI. CNN, the Los Angeles TimesThe Wall Street JournalBustleBuzzFeedTechCrunchInsider, and even NowThis (that company that makes TikTok videos etc.) have all downsized. Science sections have been hit especially hard.

    Writing as a career is on a downhill trajectory, and yet many writers are acting as if there’s nothing to worry about. A recent Science article, for example, reports that AI writers are improving but remain “stochastic parrots” lacking true originality, merely mixing and matching ideas to produce derivative works. But then again, that’s what many human writers do, too. Most science coverage merely mixes and matches quotes from press releases and papers, condensing them into readable and bite-sized forms. Every artist, in some sense, builds on what came before; they copy, adapt, remix, and do their best to add something new.

    So yes, I often question my selected career. Even if my writing is “better” than future AIs, or retains a “human touch” that can’t be replaced, I’ll still be competing with exponentially more creators. It will get harder and harder to attract human eyeballs, because the overall market share will dwindle. Why, then, am I resurrecting this blog and spending so much of my free time — and so many late nights — writing?

    I found answers in Orwell’s essay. Even though Why I Write is a post-World War II product, the reasons Orwell gives are eternal. He gives four reasons in all:

    1. Sheer egoism. The urge “to be talked about, to be remembered after death,” or a desire to appear clever. Orwell argues that writers share this trait with politicians, scientists, and CEOs.
    2. Aesthetic enthusiasm. An appreciation for the world’s beauty, or a pleasure “in words and their right arrangement.” In other words, writing purely for the joy of it; a “desire to share an experience which one feels is valuable and ought not to be missed.”
    3. Historical impulse. A drive to capture “true facts” and preserve them for the future.
    4. Political purpose. Interpreted as broadly as possible, this is just a writer’s ambition to guide society in a particular direction.

    I think all of these reasons for writing still apply. Let me explain.

    First, there is sheer egoism. This is my main reason for writing. I hit “publish” on articles — rather than keeping them confined to my hard drive — because I want people to read them. Anyone who publishes stuff online probably feels like they have important things to say, at least to some extent. Ego-driven writing will not become obsolete — but it will become more difficult to nurture.

    The things that feed a writer’s ego today — social media “likes” and comments, number of subscribers, and so on — will become harder and harder to collect over time. Even if a human writer’s output is better than an AI’s, that human is still competing with an exponential increase in creators. In a world where one writer can do the work of 100 writers (even mediocre ones), the writers who deeply care about their craft will still be widely read, but will have a far lower market share than they might otherwise. People will spend less time, overall, reading that human’s work.

    Second, aesthetic enthusiasm. This is the reason I care about least. I don’t often think about the beauty of my prose (though I do think a lot about the structure of an argument.) Sure, I still get some satisfaction when I write a clever sentence — or hear a particularly beautiful Bob Dylan or Don McLean lyric — but I rarely sit down to savor my sentences.

    This reason for writing also seems relatively AI proof. Many people will continue writing simply because they enjoy it, or because it helps them to deeply understand an idea. Turning a “nebulous thought” into a beautiful, logical essay is the most fundamental — yet difficult — part of writing — and this, too, is a form of aesthetics. If an essay seems vague or repetitive, it usually means the writer hasn’t fully grasped their own argument. If each sentence builds on the last and a piece feels logical, then the writer likely understands exactly what they want to say. This mental clarity can’t be supplanted by machines (barring some kind of neural interface.)

    Paul Graham predicts that in a future world, a few people will know how to write — and therefore think! — but most people will not:

    The result will be a world divided into writes and write-nots. There will still be some people who can write. Some of us like it. But the middle ground between those who are good at writing and those who can’t write at all will disappear. Instead of good writers, ok writers, and people who can’t write, there will just be good writers and people who can’t write.

    Graham continues:

    Is that so bad? Isn’t it common for skills to disappear when technology makes them obsolete? There aren’t many blacksmiths left, and it doesn’t seem to be a problem.

    Yes, it’s bad. The reason is something I mentioned earlier: writing is thinking. In fact there’s a kind of thinking that can only be done by writing. You can’t make this point better than Leslie Lamport did:

    If you’re thinking without writing, you only think you’re thinking.

    So a world divided into writes and write-nots is more dangerous than it sounds. It will be a world of thinks and think-nots. I know which half I want to be in, and I bet you do too.

    Writing to think, then, is an eternal reason to write. As is writing for the joy of writing.

    Third, historical impulse. Orwell referred to people who “desire to see things as they are… and store them up for use of posterity.” This phrase makes me think of investigative journalists and historians who seek out new information — by asking questions or digging through archives — that have never been put on the internet. The long-term career prospects for investigative reporters seems quite good, at least until robots become more proficient at navigating the real world.

    If you’re a writer who feels “threatened” by AI, then I think there’s a real argument to be made that you should stop remixing existing material (like writing about science papers and so on), and instead do original reporting and research. Go to your local library, talk to researchers, and publish information that has never been published before.

    And lastly, political purpose. Orwell used “political” in the widest possible sense: a desire to influence how people think about society, justice, or fairness. But I interpret this, even more broadly, as a desire to influence the world. In the decade or so that I’ve been writing, I’ve seen how a single blog post can alter the trajectory of a person’s life, or the movement of an entire field.

    In 2023, for example, I helped launch a writing fellowship called Ideas Matter. The first paragraph of our announcement gave several examples of how writing can shape people, startups, and scientific fields:

    Words are the best way to turn ideas to realities. Writing on the internet helped Dan Goodwin raise millions to launch a climate biotechnology nonprofit. One-off blogs have formed the ideological basis of startup companies. The Not Boring blog grew to 60,000 subscribers and then raised $8 million to launch a venture fund. An articlein STAT (which Sharon Begley spent more than a year reporting) about an “Alzheimer’s cabal” questioned, and then shifted, the priorities of a research field.

    So why should you write, and why am I pressing on with this blog, despite my worries about AI?

    For the same reasons that Orwell wrote. I’m writing to uncover new details about the world — ideas that have never been published on the Internet. I’m also writing to remain human, to seek legacy after death and, ultimately, to change your mind.

  • How to Find Writing Ideas

    Many writers have published advice about how to write better, myself included. But I recently went looking for advice about how to find writing ideas, and noticed a dearth of such essays for non-fiction writers. Here is my (brief) attempt to remedy that.

    1. Be a thoughtful consumer. Read an essay (or two) every day. Treat your reading list as a river, not a bucket. Give yourself time to think about what you’ve read; and I mean really thinkabout it. Diversify your news & blog sources.
    2. Treat idea discovery as a key part of the writing process. I have a bookmark folder on Safari with ~100 links to science journals, news websites, and blogs that I frequently read. I open all of these bookmarks three times each week and skim through them, which takes about 30 minutes each time. Paul Graham has said to look for ideas at the “frontiers of knowledge;” keeping up with papers in your field — and adjacent fields — is a good way to do that. And when you have ideas, write them down using Telegram (multi-platform, multi-medium) or other app. (h/t Ian Vanagas).
    3. Talk to lots of people. This is the most important thing. Very few ideas are truly original; all derive — consciously or not — from conversations with others.
      1. When I travel places, I always extend my trip by at least one day and pack in as many meetings as possible.
      2. Every day, I email someone and ask to talk. Sometimes I ask them about things I’m writing, and other times it’s just a free-flowing conversation. Lead the questioning and listen more than you speak.
    4. Write about what you bring up in conversation. If you keep talking about a topic with friends and they think it’s interesting, there’s a good chance others will find it interesting, too. This is true even if the topic is incredibly arcane, such as this article about the history of car phones.
    5. Follow-up on brief mentions and rhetorical questions. Essays and articles sometimes have a sentence or two that is incredibly intriguing, but that the author never flushed out because it was only tangentially related to their argument. Follow-up and pursue these ideas! Similarly, taking rhetorical questions literally might be a fruitful way to find ideas.
    6. Writing more makes you better at spotting good ideas. Write a lot; ideally at least a little bit every day. As you write more, you’ll begin to consciously “search” for ideas more. You’ll ask more probing questions during conversations, and immediately recognize when somebody’s off-handed comment should be expanded upon and made into a complete essay.
      1. I’ve had dozens of conversations (especially with busy people who don’t normally write down many of their ideas, like scientists and CEOs) where they say something and I’m like, “Woah, have you written that down? That’d be a great essay.”
    7. Share your ideas publicly. Don’t be stingy. I’ve never been in a situation where I shared an idea and another writer overtly stole it. (Except for that one time, when the Financial Timesripped off my reporting and never acknowledged it.) Post your ideas on Twitter or LinkedIn; if lots of people engage with it, that’s a good indication that a fuller essay might be worthwhile.
    8. Un-censor yourself. Most aspiring writers seem to kill their ideas before they give them a real chance and hit ‘publish.’ Don’t do that. Err on the side of publishing your idea, even if you think it’s unoriginal or not very good. If the idea/execution flops, at least you have a data point to learn from. If you don’t publish, it will take longer to learn about what other people find interesting.
      1. Many people think “timeliness” is the key to “interestingness,” and that if they wait too long to publish, their article will lose relevance. But I don’t think this is true. If you remember thinking, “This was really interesting to me when I first heard about it,” there’s a good chance that writing about that thing will still be interesting to others, even if it’s decades old.
    9. Ask “what if?” Speculative questioning can lead to novel ideas. What if the world was like this? How could we cut the cost of X by 10x? What if event Y never happened? This line questioning inspired an article I wrote with Julian Englert; we asked, “What if there were a technology that could print proteins on-demand?”

    Acknowledgments: This essay was directly inspired by Alexey Guzey’s Writing Advice.


    Advice from other writers:

    1. Tyler Cowen (Marginal Revolution): I get a lot of [my ideas] from talking to people, and then noticing both what they and I say.
    2. Alexey Guzey (Guzey): Usually, I try to talk to people a lot and when I notice that I’ve been talking about the same thing to people for a few weeks or have been asked the same question a bunch of times, that’s a good sign that there’s a blog post to write somewhere around.
    3. Brian Potter (Construction Physics): Almost all of my ideas come from reading. I read something and wonder, “Well, how does this thing work? Why did that happen the way it does?” And it’s almost always the case that I don’t understand it very well. There’s almost always an opportunity to understand how something works more deeply.
    4. Jason Crawford (Roots of Progress): Personally, I started with a Big Question. I wanted to understand human progress (link #1#2). I knew that in order to discover the roots of progress, I needed first to understand *what* progress even consisted of. What is there to be explained? I had only a vague idea of what the Industrial Revolution even consisted of: steam engines, steel, trains, I dunno, textile machines? What were those things? Why are they the things that mattered? What else was there? I started out trying to find a one-book overview or summary of the industrial age. I couldn’t find one. I found a summary of the Industrial Revolution but it was very episodic, a bunch of disconnected vignettes, not a unified overview/narrative. Still, it gave me several pieces of a puzzle, even if they weren’t all put together. So, I just started picking off topics that I knew were important. Steam? OK, read a history of the steam engine. Cotton? Read a history of cotton. Etc. And then I started writing about what I was learning. First just little notes and open questions, like “What is Charcoal?” Then one day I read a book that had enough of a coherent narrative that I could summarize it and make a nice longer post. People (my friends, who were my only audience at the time) liked that. So I decided to do more posts that told a whole story. Some of these, I had to do more than read one book, because the book wouldn’t answer my questions. I would read a book, then do extra research to create a narrative, then write a post. At a certain point I could start asking big questions. Later I would be able to give preliminary answers. Eventually I am philosophizing about the nature of progress—what I set out to understand ~seven years ago.
      1. So to more directly answer your question, once you have a Big Question, it’s easy to find lots of stuff to write about because there are so many specific sub-sub-questions you can investigate. Once I wanted to understand the history of technology and industry, every major invention or industrial process was something I could write about. Every chart on Our World in Data had a story behind it I could tell. Etc. And I didn’t feel that I had to master a topic before writing about it. I was OK to write about anything I learned about, once I had learned it, or to summarize things I had read and comment on them. So the whole learning process could become a series of posts, rather than the post coming *after* all the learning. If I could try to generalize this in a way that might be applicable to others, it’s something like:
        1. Find a big, burning question that you are dying to answer. Something very ambitious in scope is good. (If you don’t have this: read about and try all kinds of stuff until something catches you and you become obsessed.)
        2. Set out to become an expert in the topic, in order to answer your Big Question. Start bottom up, with the very basic, object-level questions. Be humble at first, know that you know nothing to start and have a ton to learn.
        3. As you learn, write about what you are learning. Any time you learn a cool thing that you’d like to tell people, just write it up. Any time you read a piece that taught you something or was worthwhile, summarize it and comment on it. (Book reviews make great posts.) Don’t feel you have to master the topic before you start writing; work in public (“with the garage door up”: https://notes.andymatuschak.org/Work_with_the_garage_door_up)
        4. Now you should have an endless supply of writing ideas. At first, you will just be writing about basic things and open questions, since that’s where you start. Over time, you will start to see patterns and trends. And you will start to have preliminary answers to the open questions. It is like putting together a puzzle where you receive one new piece a day: at first, all you have are disconnected pieces; then you start making links; then entire connected regions form; eventually you have the whole structure in outline and you are just filling in holes. Your writing will move up the hierarchy as your learning does.
        5. By the time you have the overview, maybe it’s time to write a book 😄
    5. Ruxandra Tesloianu (Substack Link): For better or worse, I was born with a little voice in my head that just debates whatever argument I hear from my surroundings, almost involuntarily. I often end up voicing these arguments, which does not win me many friends. On the flipside, I think it’s good for writing. Most of my pieces are born out of a desire to debate whatever it is that I hear – on a podcast, from a friend, on social media. For example, my piece: “Why haven’t biologists cured cancer?” was written because I had listened to an interview with Peter Thiel where he expressed an opinion I disagreed with. I then ended up going through the history of biology to flesh out my argument. Another popular series of mine was a string of articles on luxury beliefs. This was written, again, because I disagreed with how people used the concept. I would say I try a lot as a writer to not just be argumentative and combative, but actually provide new ideas and flesh out my own framework. But even then, the spark is almost always a deep need to argue.
    6. Jose Luis Ricón (Nintil): There’s a background level of interest I have in topics; something may be simmering for a while until it rises above some threshold where it merits some writing. Historically what tends to trigger that is the accumulation of puzzles to solve, or whether I see smart people disagreeing about a topic. When I wrote my Soviet Union series section on caloric consumption in the USSR, the puzzle there was the widespread perception that the Soviets were starving while simultaneously the UN FAO agency reporting that they were eating more calories than the US. What was going on, I wondered? In other cases, the motivation has been a hunch that someone is wrong on the internet; at first I may not know why they are wrong, but something in their writing bothered me and the writing is a means to clarify my own thinking. When I read A Vision for Metascience I was bothered by its hopeful optimism and wanted to write a more realistic take on the topic drawing on my own reading which had been ongoing for years at that point so I wrote Limits and Possibilities of Metascience. More recently, I’ve been wondering whether to write a response to Founder Mode from Paul Graham; as I think he doesn’t give the topic the justice he should given his experience at Y Combinator. More can be and should be said about Founder Mode, it seems to me, though I don’t know exactly what I will say. Sometimes there seems to be something I will say but when I get to writing there isn’t. That’s part of the process; learning that my disagreements were minor and not worth an essay.
    7. Xander Balwit (Asimov Press): Most of my best ideas emerge from participating in (or listening to) spirited conversations with smart people. Even better, is when these are people with different domain expertise and curiosities. This collision of perspectives is a fruitful place for ideation—almost like a fusion meal, with influences coming from multiple cultures. What does statistical modeling have to say about animal welfare? What does aesthetics teach us about politics? Beyond thinking about ways to synthesize and borrow between disciplines, I cannot stress enough the importance of reading widely; a throw-away sentence or speculation posed by another author can become a whole essay.

    If you have advice about how to find writing ideas, please send them to me (nsmccarty3@gmail.com) and I may update this article.