Tag: personal

  • 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
  • What I Learned in 2024

    Asimov Press, the publishing company that I run with Xander Balwit, has only been around for about a year. I really love the job because it lets me work with all kinds of writers and scientists who have compelling ideas. I get to hang out with them, help shape their ideas from “nebulous thoughts” into more crystalline prose, and then share those ideas with the world. It’s a dream job.

    I was reflecting on some of the things I’ve learned over the last year, and decided to wrap everything together into a list (as one does during the holidays.) This is remarkably overdone and derivative, but I’ve done my best to choose interesting things that I haven’t seen covered elsewhere. Maybe you’ll get a kick out of this. Note that these are not necessarily things that happened this year; they are just things that I learned this year.

    Micropipette Origins

    In 1957, a 32-year-old German postdoctoral researcher named Heinrich Schnitger invented the micropipette in just three days. He did it, apparently, because he was using mouth pipettes to work with toxic molecules and hated his day-to-day work. Eppendorf, a German company, licensed his invention almost immediately and commercialized it in the 1960s. Schnitger drowned in a Bavarian mountain lake in 1964.

    Schnitger was not the first person to make a micropipette, though; his was simply the first model to catch on. (“…his design had ‘all the essential features of the modern pipette,’ according to a close witness of the invention, including a spring-loaded piston, a second spring to shoot out residual liquid, and a plastic tip.”) Two Americans, James W. Brown and Robert L. Weintraub, filed a patent for an adjustable pipette with a removable tip in 1953. Their device dispensed tiny drops of liquid via the spinning of a wheel on one end, and it could be used with one hand — but modern micropipettes do not use wheels to dispense liquids! (Source)

    Patents on Living Things

    General Electric was performing research on engineered Pseudomonas microbes to clean up oil spills in the 1970s. They filed the first patent on a genetically modified organism, and the case ultimately went all the way to the Supreme Court, which decided the case in 1980. Before then, patent clerks rejected any applications for living organisms because of a doctrine dating back to 1889, called Ex parte Latimer, which dealt with “the patentability of a fiber extracted from needles of a pine tree.” As Rhea Purohit writes for Asimov Press:

    …the U.S. Patent Office rejected [General Electric’s] application because the subject matter was a ‘natural product.’ Benton J. Hall, a lawyer-politician from Iowa and Commissioner of Patents at the time, opined that the composition of trees was ‘not a patentable invention, recognized by statute, any more than to find a new gem or jewel in the earth would entitle the discoverer to patent all gems which should be subsequently found.’

    After publishing this story, Rich Pell — founder of the Center for PostNatural History — told me that Louis Pasteur was actually the first person to patent a living organism. In 1873, Pasteur petitioned for a patent called “Improvement in the Manufacture of Beer and Yeast,” outlining methods to kill bacteria by heating beer and also disclosing his Brewer’s yeast strain. (Source)

    Single Cells Anticipate Seasons

    The best paper I read all year is “Bacteria can anticipate the seasons: Photoperiodism in cyanobacteria,” published in Science in September. It is a masterpiece. Or, as I wrote in an article, “In just six wonderfully lucid pages, researchers from Vanderbilt University in Nashville show that cyanobacteria can ‘sense’ shortening days and change the molecular compositions of their cell membranes to prepare for cold weather.”

    I continued to explain the experiment, writing:

    Cyanobacterial cells were divided into three groups. Each group grew at the same temperature — a steady 30°C. But each group was exposed to a different amount of light each day. One group was exposed to 16 hours of lightness and 8 hours of darkness each day; another to 12 hours of light and 12 hours of darkness, or ‘equinox’; and the third to 8 hours of light and 16 hours of dark.

    After eight days, Jabbur dunked each group of cells into ice-cold water and measured how many lived through the ordeal. Cells exposed to less light (8 hours light, 16 hours dark) were two-to three-times more likely to survive compared to the other two groups. The effect was also linearly correlated. Cells exposed to 20 hours of darkness per day were more likely to survive the cold water compared to cells exposed to 18 hours, and so on.

    I’m still blown away by the sheer simplicity and elegance of this paper. You should read it! (Source)

    Plague Deaths

    Nobody knows how many people died during the Black Death. This “simple” statement was something I hadn’t really considered prior to this year. But, as Saloni Dattani has written:

    Direct records of mortality are sparse and mostly relate to deaths among the nobility. Researchers have compiled information from tax and rent registers, parish records, court documents, guild records, and archaeological remains from many localities across Europe. However, even those who have carefully combed over this data have not reached a consensus about the overall death toll.

    For example, in 2005, statistician George Christakos and his colleagues compiled data from over a hundred European cities. Using their data, the economists Jedwab, Johnson, and Koyama estimated in 2019 that 38.75 percent of Western Europe’s population had died on average. In contrast, the historians John Aberth (2021) and Ole Benedictow (2021) have estimated that 51–58 percent or upwards of 60 percent of Europe’s population died, respectively.

    Even today, many countries do not have formal institutions to tabulate deaths. In many cases, we simply don’t know how many people die from various diseases. Dattani continues:

    Since cause-of-death registries have been limited or dysfunctional in many countries in Africa and South Asia, some researchers have conducted national ‘verbal autopsies’ to fill the gap. In these studies, millions of families were interviewed about recently deceased relatives and their diseases and symptoms before death. Doctors then used their answers to estimate their cause of death.

    The results suggest that we had greatly underestimated the death toll of diseases such as tuberculosis and venomous snakebites. Revised international estimates suggest that they kill over 1 million and 100,000 people, respectively, each year. (Source)

    Mendel Mouse Hoax

    Gregor Mendel, the Augustinian friar who founded genetics, worked with garden peas. He meticulously crossed his peas and tabulated the “phenotypes” that appeared to unravel the laws of inheritance. But nobody knows, even today, why exactlyhe decided to do these experiments. What was his inspiration?

    In the absence of historical certainty, many writers and scholars have felt free to speculate. For example, Robin Henig, author of the book The Monk in the Garden, wrote that:

    [Mendel] kept [mice] in cages in his two-room flat, where they gave off a distinctive stench of cedar chips, fur, and rodent droppings. He was trying to breed wild-type mice with albinos to see what color coats the hybrids would have. [The bishop] seemed to find it inappropriate, and perhaps titillating, for a priest who had taken vows of chastity and celibacy to be encouraging — and watching — rodent sex.

    After the bishop banned mice from the monastery, Henig claims, Mendel took to garden peas instead. A similar tale has appeared in many academic and news articles (including in Asimov Press), but it’s likely apocryphal.

    Daniel J. Fairbanks, a Mendel scholar in Utah, says in his own book that there is no evidence for it. Although Mendel published work with insect pests, and even became a renowned beekeeper late in life, banning mice would have been peculiar because the monastery’s abbot regularly bred sheep and other agricultural animals.

    Synthetic Biology’s Discouraging Start

    The field of synthetic biology began, “officially,” in the year 2000 when two papers — published back-to-back in the journal Nature — reported the first synthetic gene circuits; assemblies of DNA that “programmed” living cells to act in desired ways. These early synthetic gene circuits (called the repressilator and toggle switch) suggested that engineers could recreate some of the complex networks within living cells and then manipulate them to carry out entirely new functions. In other words, they could “program biology.”

    The repressilator was made by Michael Elowitz and Stanislas Leibler, two physicists at Princeton University. I interviewed Elowitz earlier this year, and was surprised when he told me about some of his early doubts surrounding the project:

    I definitely had no idea whether it was going to work. When I asked people what they thought of the project, which I did incessantly, I got very different answers. A few well-known biologists would say, ‘No, it’ll never work that way. It just won’t work.’

    And I’d ask them, ‘Why won’t it work?’ And they’d say, ‘Biology just doesn’t really work that way. You can’t predict what’s going to happen.’ Other people thought it sounded fun. So it was a mix of positive and negative feedback. It’s funny to think about that in hindsight. At the time, I was really excited about the project. I told lots of people about it, but then I’d swear them to secrecy. It was all very silly. (Source)

    No More Dead Chicks

    In ovo sexing is one of the most exciting technologies that I had never heard of. The gist is that we can now figure out the sex of a baby chick while it is still inside the egg; before it hatches. This enables farmers to discard chicks before they are born and, thus, before they can feel pain. That’s a huge deal because something like 6 to 7 billion one-day-old male chicks are killed each year. Egg farms kill male chicks because, well, they don’t lay eggs. So instead, they put them on a conveyer belt and drop them into a macerator that rips into their flesh. It’s absolutely brutal. You can find videos online, if so inclined.

    But this is a cause area that biotechnology can make a huge impact on. And there is good news. The number of male chicks killed in European egg farms has fallen by about 20 percent in recent years. In ovo sexing is now used in about 20 percent of the European market. And this technology is — for the first time — making its way to the United States. A few weeks ago, “a US hatchery shared that it has installed the nation’s first in-ovo sexing system.” (Source)

    Making Eggs Without Ovaries

    In just a few years’ time, scientists may figure out how to make viable eggs (or even sperm) directly from stem cells. The technology is called in vitro oogenesis, and Metacelsus published a deep explainer on it earlier this year:

    Such an approach would take cells from an adult — such as skin or blood — and reprogram them into induced pluripotent stem cells, or iPSCs. Much like embryonic stem cells, iPSCs have the ability to form any cell in the adult body; eggs included. Although generating human iPSCs is now routine, coaxing iPSCs to form eggs in a process known as in vitro oogenesis has only been successful on cells taken from mice.

    If this technology pans out, it will likely cost (initially) between $150,000-$250,000 dollars, just to make the actual eggs (so not including implanting those eggs and so on). It will:

    …expand the kinds of people who are able to have biological children. First, growing eggs from ovarian biopsy samples will allow women to obtain eggs even when their ovarian reserve is diminished. This could extend the age of fertility into the mid-40s. Furthermore, this technology would allow younger women to grow large numbers of eggs from tissue samples. By enabling women to freeze more eggs, they would have a better chance of having babies later. (Source)

  • Brick Technology Addictions

    There’s a YouTube channel I like called Brick Technology. The videos are simple: a machine made from LEGOs must conquer an obstacle, like a wall, moat, or soapy ramp. When the machine inevitably fails, an engineer (always offscreen) modifies it to overcome the obstacle. Then, the obstacle gets bigger, and the engineering must continue. This happens again and again. The walls get bigger, the moats get wider, and the machines keep evolving in iterative loops. It is addicting to watch.

    In one video, a LEGO car is engineered to scale a wall. At first, the wall is only two bricks high; the car climbs it easily. Then the wall goes up to 25 bricks, and the car is affixed to a ladder. Using an electronic motor, it throws this ladder against the wall and pulls itself up the rungs. Then the wall goes to 50 bricks (or 55, or 60; too many to count on-screen) and even the ladder now falls short. The engineer mounts a propeller on top of the car, but the battery can’t generate enough lift. So they add a grappling hook instead. This LEGO car, now mounted with cannon, shoots the hook up and over the wall. The hook sticks, and the car pulls itself up at a 90 degree angle. All of this happens in the span of nine minutes.

    Why LEGOs? My guess is because they are easy to move around, to assemble and disassemble. Bricks can be snapped, changed, replaced. It’s much faster to iterate with plastic bricks than metal pieces, and faster still to iterate with metal than, say, a living organism. (Everything I write is ultimately about biology, isn’t it? Surely you didn’t think this was actually about LEGOs…)

    This YouTube channel got me thinking about fast iterations and the sense of accomplishment we feel upon finding solutions to a difficult problem. The feeling is addicting, not only for scientists but for little kids, too. At the start of any given Brick Technology video, it’s hard to imagine how a little machine, so humble at first, could possibly be modified to scale a towering wall. And yet, by video’s end, it has. Each iteration, every change, every solution is recorded and made visible. The fast cycles of trial and error are mesmerizing. The car scales the wall.

    Kids seem to like LEGOs and computers because these things move quickly. The kids can iterate upon ideas, try stuff that doesn’t work, and learn from failures in a few minutes. But in biology, everything takes too long. Cloning a single gene takes about a week, and we rarely disclose our failures and iterations; papers merely report the final solutions. Everything in biology is portrayed as a clear “story,” with all five figures neatly planned out months in advance (and no failed experiments, of course.)

    Just because biology is slow and opaque, though, doesn’t mean we can’t emulate faster fields; if not in practice, then at least in educational terms. I’d like to see a YouTube channel that recreates Brick Technology for biology. After all, this YouTube channel is the encapsulation of what biology research actually is! All a bioengineer is really doing is asking a question and seeking a solution. We start with a goal, like “engineer a gene circuit to make cells flash in oscillating patterns of green and red,” and begin building towards it. Most experiments end in failure: the cells don’t flash at all, or they only flash green, or everything is dead. But I think it’d be wonderful to watch a video where a scientist sets such a challenge, tries and fails to solve it, records everything, and explains how each iteration is made. Imagine how good it would feel, as a viewer, to see those engineered cells at the end, beautifully flashing. It would be addicting as hell to watch, too; a vision of the future made tangible, approachable, common.

  • Moving to the Bay

    I moved to the Bay Area to join Astera Institute as an independent fellow.

    This job has no requirements. I will spend all my time writing, reading, and researching my own interests. I’ll host dinners, start a podcast, and finish my first book. I’ll talk to people, travel back to China, and build out my biotechnology manifesto. 

    I’ll obsess over big problems, like how to cure all infectious diseases; how to make life multiplanetary; how to safeguard life here on Earth; how to lower the cost and increase the speed of experiments; how to understand a single organism such that we can accurately simulate it; how to tell better stories. 

    I’ll write up my findings and share them freely. And when I spot problems that feel particularly important yet tractable, I’ll try to raise money and give it to scientists trying to solve them.

    Astera seems like a good fit for this work because they are broadly funding many different things in bio- and neurotech. I’ve enjoyed getting to know people like Michael Nielsen, Eli Dourado, and Prachee Avasthi over the years. And, being situated in the Bay Area, it feels like a good “hub” from which to instigate and build teams around big, important problems.

    Asimov Press will continue. We have articles finished and scheduled through May. We are also 80% done with our third book, Making the Modern Laboratory, which tells the story of why research laboratories look the way they do and how they could be better.

    Running Asimov Press is the most important thing I’ve done, and it wasn’t an easy decision to let it go, even if only for awhile.

    I still remember that first COVID summer, when I moved from Los Angeles to New York to become a writer. I enrolled in NYU’s science journalism program and rented a small apartment around the corner from Katz’s Deli, at 188 Orchard St, for $2650 per month. 

    As a young journalist, I had idealistic notions about writing and reporting; about making a career as a “pure” writer telling unapologetic stories. Holding these lofty dreams in my mind wasn’t easy, though.

    First-year journalism students were told to lower their expectations, both in terms of impact and career. Professors told me not to expect my published articles to have tangible impacts. Many pieces have been written about pollution in the Hudson, they said, but few have led politicians to actually act.

    The job market was also bad and scary. Staff positions were elusive even then, and are moreso today. Healthcare and benefits? Absolute luxury! Dreams of becoming an editor? Maybe in five years! Starting your own media company? Fuggedaboutit.

    That Asimov funded me to start a small media company just two years out of journalism school, then, feels insane. Here was a for-profit company that gave me the reins to their name — and reputation — without ever dictating the stories I publish. I’ll always feel grateful to Alec Nielsen, the company’s CEO, for believing in me more than anybody had before. 

    As I quickly discovered, though, running even a small media group — with just two full-time employees — takes a lot of time. We constantly have about 20 articles in the publishing pipeline. Every piece needed to be written, edited (usually 4-5 rounds of feedback), fact-checked, and copyedited. We also make artwork for each piece, record voiceovers, mix the audio, scour the web for images (or make our own) and publish. Writers must be paid; freelancers must be commissioned; social media posts must be written. 

    It is not easy to manage all these little pieces while trying to write my own things; especially a big book project. It is also difficult to hew to a grand ambition or “path” when you’re balancing opinions from lots of readers and teammates. I’m proud of Asimov Press, but do think we steered too much toward history and not enough toward pieces that shape discourse. Moving to Astera is a chance for me to rectify this.

    The Bay area will also be a nice change. I’ve spent the last year-and-a-half living in Kansas, on the border line where suburbs meet farmland. I’ve tried all the restaurants in a five-mile radius at least three times. I’ve shipped thousands of books out of my garage. I’ve enjoyed hundreds of quiet afternoons listening to the birds or flapping wings of bats, which flock through the air at night. And yet, I’ve been socially starved, aching for face-to-face meetings and candlelit dinners and monthly Poker tournaments. If you’re reading this, let’s meet up:  My email is nsmccarty3@gmail.com.

    I’m not entirely sure what the future holds, but I have recently found inspiration in Stewart Brand. At the bottom of Brand’s website he writes: “What do I usually do? I find things and I found things.”

    “Things I find include tools, ideas, books, and people, which I blend and purvey.  Things I’ve founded and co-founded include the Trips Festival (1966), Whole Earth Catalog (1968), Hackers Conference (1984), The WELL (1984), Global Business Network (1988), and The Long Now Foundation (1996).”

    It was Brand who brought The Grateful Dead to San Francisco and mentored Kevin Kelly, the former executive editor of WIRED magazine. Brand has also written many books; about The MIT Media Lab, about Maintenance, and even about architecture and buildings (something he apparently knew little about when he began, but mastered over time). 

    In other words, Brand seems to be comfortable being uncomfortable; in moving around and trying new things. His ethos, of finding and founding, seems to describe a life well lived.