Categories
Creativity Serendipity Walking

Demons Hate Fresh Air

The notion keeps circling back.

Austin Kleon gave it a clean, memorable shape in Keep Going. He was drawing on something Ingmar Bergmanโ€™s daughter once said about her father: no matter what time you get out of bed, go for a walk and then work, because the demons hate it when you get out of bed.

Demons hate fresh air.

Thereโ€™s a Peanuts strip of Linus out walking that Kleon paired with the line years ago. The image and the words stuck with me. I wrote a short post about it myself more than a year ago, on a clear May morning when the air felt especially clean.

The idea still feels true.

What Iโ€™ve been turning over lately is why.

Steven Johnson offers one way into the question in Where Good Ideas Come From. He writes about the many stories of good ideas arriving while people are out walking. The point is not that walking magically manufactures ideas. It is that something happens when we stop trying quite so hard to produce them.

A good idea rarely comes from nowhere. More often, it is an unexpected connection between things that were already somewhere in the mind. A problem, a memory, a half-formed thought, something we read three days ago and forgot we remembered. At the desk, we tend to keep pushing the same thought around the same small circle.

Walking changes the conditions.

The body is occupied, but not very much. Attention loosens. The mind wanders without being completely idle. Things that had been sitting in separate corners begin, occasionally, to find each other.

Darwin had his Sandwalk at Down House, a path he paced almost every day. Poincarรฉ described important insights arriving while he was out walking after periods of intense, fruitless work at his desk. The examples go on.

Apparently, smart people have been wandering around for a very long time.

I notice it on ordinary mornings.

The first part of a walk is usually just clearing the residual staticโ€”the nightโ€™s dreams, yesterdayโ€™s unfinished business, the little collection of thoughts that somehow followed me into the morning. Then, without any particular effort, something loosens.

A sentence that wouldnโ€™t come the night before appears.

A problem that felt stuck suddenly has an edge.

A connection between two things I had never thought to connect quietly presents itself.

None of it feels like work. That may be the important part.

Sometimes the way to think better is to stop trying so hard to think.

The demons prefer the closed room. They thrive on the spinning, the second-guessing, the feeling that the only way forward is more concentrated effort at the same desk.

Fresh air and steady movement are quietly hostile to that atmosphere.

They donโ€™t defeat the demons through force. They simply change the conditions so the demons have less purchase.

And perhaps thatโ€™s why the old advice has survived. Get out of bed. Go for a walk. Then get to work.

Not because the walk makes you more productive.

Because sometimes you have to leave the room before you can see the way forward.

Get up. Get out.

The demons can wait.

Categories
Writing

Wait, What? The Art of the Irresistible Lead

A few weeks ago I sat with a fresh draft of one of my daily reports, the cursor blinking on a perfectly serviceable first sentence. It told the reader exactly what the piece was about. It was clear. It was polite. And it was, frankly, a little boring.

I deleted it and tried again. Then again. On the fifth try, something shifted. The sentence wasnโ€™t flashy, but it carried a quiet spark of surpriseโ€”an unexpected detail that made even me lean in. In that moment I felt the familiar thrill of a good lead doing its quiet work: not demanding attention, but inviting it.

Susan Orlean has long been one of my quiet heroes in this regard. She crafts first sentences that land like gentle provocationsโ€”declarative, sometimes absurd, always authoritative in their own small way. They dare you not to keep reading, even when the subject seems, at first glance, ordinary.

For years now Iโ€™ve paid close attention to these opening movesโ€”not just in Orleanโ€™s work, but across the writers who consistently pull me in and refuse to let go. In a world of endless distractions and shorter attention spans, the lead is no longer optional; it is an act of hospitality. It says, gently but firmly: Come sit with this for a while. Thereโ€™s something worth your time here.

This post is my reflection on that craftโ€”why it matters, what the masters do so well, and how those of us who write (whether for blogs, reports, letters, or larger ambitions) might get better at it. Along the way Iโ€™ll share specific examples that still make me pause and smile, plus some practical ways Iโ€™ve tried to strengthen my own first sentences. Because if curiosity and receptivity are part of my compass, then learning to write better leads feels like one small, ongoing way to live into that.

Why Leads Matter More Than Ever

Attention is the scarcest resource we have. A strong lead doesnโ€™t just informโ€”it seduces, surprises, or jolts the reader into โ€œWait, what?โ€ mode. It earns those first crucial moments in a distracted world.

When I struggle with a draft, itโ€™s often because the opening is doing too much summarizing and not enough inviting. A great lead respects the readerโ€™s time while promising payoff. Itโ€™s generous. And in my own writing, whether a morning report or a more personal essay, refining the lead has often clarified the entire piece.

Masters of the Lead

Over time Iโ€™ve noticed how the same principles appear across very different forms. Feature writers like Susan Orlean seduce us into caring about subjects we didnโ€™t know existed. Obituary writers work under tighter constraints but with profound stakesโ€”distilling a life into something that honors the dead while engaging the living.

Orlean often opens with vivid, affectionate character portraits or surprising details that feel like delightful invitations. One classic: โ€œIn Bulgaria, some tennis balls are like dumplings.โ€ Itโ€™s playful, specific, and instantly makes you wonder about the world these athletes inhabit. Another strength is the rapid, layered sketch: โ€œJohn Laroche is a tall guy, skinny as a stick, pale-eyed, slouch-shouldered, and sharply handsome, in spite of the fact that he is missing all his front teeth.โ€ The list is cinematic; the twist humanizes. Orlean writes the way a reader experiences the story, starting at the beginning and pulling you along with warm observation.

Obituary writers like Alden Whitman show the formโ€™s power under pressure. Whitman conducted thoughtful advance interviews, framing them as biographical updates rather than morbid exercises. He asked reflective questions about identity, turning points, and what mattered mostโ€”gathering the intimate details that made his leads gracefully revealing. His portraits treated lives as coherent stories, full of flavor and humanity. Modern masters like Margalit Fox continue this with witty, precise openings that capture essence in one surprising stroke. British obituary traditions add elegant wit and anecdote, often using a single eccentricity to humanize even formidable figures.

The contrast is illuminating. Orleanโ€™s warmth draws you in with delight and empathy. Joan Didion might open the same subject with cool cultural dissection, noting contradictions and performance. Wright Thompson would make it mythic and sensory. Jimmy Breslin would give it street-smart heart and working-man respect.

I sometimes test this by imagining how each would open a scene I actually remember: Moeโ€™s Books on Telegraph Avenue in 1969. I was young, new to Berkeley, and the place felt like a sanctuary. The cigar smoke drifted out onto the sidewalk. Moe himself held quiet authority behind the counter. Browsers moved slowly, as if time among books was time well stolen. He bought books fairlyโ€”no haggling, just a fair priceโ€”and held court with that cigar while the avenue hummed with protest outside.

Orlean might begin with affectionate observation: the smoke, the quiet authority, the browsers moving as if time were something you could borrow among the shelves. Didion would coolly note the cultural performanceโ€”the revolutionary texts amid fading energy. Thompson would immerse you in the sensory sanctuary, the myth of the place. Breslin would tell it like a guy at the bar: Moe buying books fairly, no nonsense, holding court with that cigar while the world outside churned.

Each approach turns the same detailsโ€”cigars, fair dealing, the charged atmosphereโ€”into something that hooks and reveals. What unites them is deep curiosity and receptivity: seeing people and places fully, with compassionate attention.

How to Get Good at Leads

Mastery comes from deliberate practice. Here are approaches Iโ€™ve found helpful:

  • Read and dissect. Keep a notebook of great leads. Note what emotion or curiosity they trigger and what promise they make.
  • Write multiples. For any story, draft five versionsโ€”zinger, scene, metaphor, question, quiet setupโ€”then choose or combine.
  • Draft first, revise last. Write the piece, then craft the lead. Or iterate after you know the emotional core. Read aloud.
  • Hunt arresting details. Look for surprising combinations (Orlean) or telling contradictions (Didion). Your own memories are full of them.
  • Get feedback early. Share just the lead. Ask: Does this make you want to read more?
  • Experiment with constraints. Try ultra-short leads or imitate a masterโ€™s voice, then adapt to yours.

Over time this becomes instinctive. Leads force clarity about what your story really is.

Common Pitfalls

Avoid summaries that feel polite but boring, or cleverness that sacrifices clarity. The best leads align with your internal compassโ€”generous, empathetic, curious. They reflect compassionate honesty: offering truth with care.

Writing better leads is one small way to live my life theme more fully. Itโ€™s about paying close attention, finding the spark in the everyday, and inviting others to do the same.

These values are my compassโ€”and today, curiosity feels like the right direction.

Categories
AI Photography

The Price of the Cold

Two men are standing close to a brick wall trying not to talk, because talking wastes what little warmth is left in a body that has been outside too long. One of them has a camera โ€” Jerry Schatzberg, a fashion photographer. His hands are jammed half into his coat pockets between shots. The other man has his collar up around his ears and a scarf wound twice, black and white, and he is not moving much, because moving costs heat, and heat is the one thing neither of them has enough of. Schatzberg raises the camera. His fingers, by this point, are not entirely his own. When he presses the shutter there is a tremor in it he did not order and cannot undo.

The picture comes out smeared at the edges. Bob Dylan’s face, in the frame, is dissolving slightly into the gray behind him, like a man photographed through a windshield in the rain. It is, by any studio standard, a bad photograph. Schatzberg knows it’s a bad photograph. He has made a career out of not taking bad photographs.

And it became the cover of Blonde on Blonde, which is the best rock album ever recorded, and in nearly sixty years nobody has managed to improve on it by reshooting it clean. The blur isn’t a decision. It’s a symptom โ€” of two men standing in the cold too long, of a photographer choosing, afterward, to keep the evidence of his own discomfort instead of erasing it.

There’s a difference between an accident and serendipity that I don’t think gets said out loud enough, and it matters more than it used to. An accident is the cold โ€” involuntary, uninvited, spent before you know if it was worth spending. Schatzberg didn’t choose to shiver. His hands moved because his body was doing what bodies do at a certain temperature, and the shutter caught what his hands actually did, not what he meant to do. Serendipity is what happens next: a verdict, rendered after the fact, that the wreckage of an intention was better than the intention itself. The accident is what makes the verdict possible. Without the cold, there’s nothing to render a verdict on.

I’ve been sitting with a large language model most days for the better part of a year now, watching it write, asking it to try again, watching it try again in a way that is never quite the same and never quite different enough to matter. Somewhere upstream of me there is a number called temperature, and I will never see it. Somebody else did, once, in a meeting, and decided that the word for controlled, pre-approved, refundable randomness should be temperature โ€” the same word for the thing that made Schatzberg’s hands shake, the same word for the actual physical stakes of standing outside too long in January without enough coat โ€” and then set it, and moved on, and nobody in that meeting laughed, because nobody in the room had ever been cold in a way that mattered to the work.

Picture the room instead. It is climate-controlled to sixty-eight degrees, humidity held flat, year-round, by a building management system nobody thinks about until it fails. Somewhere in it, the hardware is generating your next five versions of a photograph like the one on Blonde on Blonde. Nobody in that room is going to lose feeling in their fingers today. Nobody’s collar is up. I don’t know his name โ€” nobody outside the building does โ€” but somebody like him tuned the sampling distribution and went home at six. That’s the guy in the good suit. He built the weather. He never once stood in it.

The small model inherits conclusions. It never inherits the cold. Whatever accidents shaped the teacher model’s own training โ€” whatever costly friction produced the insight in the first place โ€” the student model gets none of that weather. It gets the photograph, cropped and sharpened, with the blur removed because somebody along the way decided the blur was noise instead of signal โ€” the way Schatzberg, a lesser photographer, might have reshot Dylan clean and thrown the bad one away. It is heir to a serendipity it never earned, because it was never present for the accident that made the serendipity possible. It is, in the most literal sense the industry means by the word, cheap.

I keep coming back to the fact that nobody at the API layer is shivering. That’s not a complaint, exactly. It’s just an observation about where the cost went. Somewhere in the training data, some human being was cold, or scared, or holding a fish that was starting to smell, or standing on a stepladder with ten minutes before the traffic came back, and that person paid a real price for a result they couldn’t yet know was good. The model downstream of all that gets the result without the price.

Two rooms, then. In one of them it is January in New York and a man’s fingers have stopped entirely obeying him. In the other it is sixty-eight degrees, always, on a Tuesday and on a Sunday and at three in the morning, and the machines are making you nine more versions of that same blur. Sixty-eight degrees. A number, upstream, that you will never see.

Categories
Business Creativity Innovation Inspiration

The Idea That Won’t Let Go

“There are three elements to every great idea: 1. It solves for ‘why.’ Long before you figure out what a product will do, you need to understand why people will want it. The ‘why’ drives the ‘what.’ 2. It solves a problem that a lot of people have in their daily lives. 3. It follows you around. Even after you research and learn about it and try it out and realize how hard it’ll be to get it right, you can’t stop thinking about it.”
โ€” Tony Fadell, Build

The third element is the only one that isn’t optional. You can fake the why โ€” retrofit it, hire a consultant to write it on a slide in a font called Montserrat. You can borrow the what; most products are just other products in a better jacket. You cannot fake the third thing, because the whole test of it is that it happens without your permission.

Call it a visitation. It shows up uninvited at the stoplight, in the shower, at 2:40 a.m. when the ceiling becomes a screen for it. You know the unit economics don’t work. You know the regulatory path is nine years long. You know โ€” you know โ€” that fourteen better-funded people already tried this and left with nothing but a Delaware C-corp and a grudge. None of it helps. The idea has already filed its paperwork. It lives here now.

You cannot bullet-point a visitation. There is no OKR for thinking about landing gear hydraulics while your wife is telling you about her sister’s wedding. Everyone who’s built something that mattered will tell you this, late enough at a dinner and honest enough on the wine: not conviction, not passion โ€” that laminated word โ€” but the visitor, still standing in the doorway of every other thought you’re supposed to be having.

It doesn’t check your calendar. It doesn’t care that you’ve moved on to point two, the sensible one, the one venture capitalists nod along to with their flat whites going warm. It was never about the market. The market is the alibi you build afterward, so you don’t have to say the true thing: I didn’t choose it. It moved in while I was asleep, and my life rearranged itself around the shape of it, the way a house rearranges itself around a family it didn’t ask for.

Maybe the third element isn’t a filter for the idea. Maybe it’s a filter for you โ€” a way of finding out, by accident, at 2:40 in the morning, staring at a ceiling that has decided to keep the light on.

Categories
Creativity Photographers Photography Serendipity Writing

He Taught Us How to See

Michelangelo said he didnโ€™t create his sculptures. He just removed the marble that wasnโ€™t the statue.

Iโ€™ve been thinking about that lately. About what it means to have a collaborator whose job isnโ€™t to add things but to help you find whatโ€™s already there. Iโ€™ve been doing that kind of work recently โ€” the excavation kind โ€” and it has changed how I write and honestly how much I enjoy the making of it.

But Iโ€™m getting ahead of myself. Start with Jay.

Categories
Bonsai Filoli Living

The Patience of Small Things

There is a tree on a terrace at Filoli that is roughly the size of a lamp. It sits in a shallow black bowl, its trunk leaning with the easy confidence of something that has been leaning for decades, its canopy splayed against the California sky like a fist slowly opening. Behind it, the estateโ€™s formal garden dissolves into soft focus โ€” roses, balustrades, the suggestion of abundance. The bonsai doesnโ€™t compete with any of it. It simply occupies its few cubic feet with a completeness that makes everything else feel approximate.

Iโ€™ve been thinking about what that completeness costs.

The tree is probably a juniper โ€” the fibrous, spiraling bark, the dense scale-like foliage, the way the branch structure seems to remember every decision ever made about it. Bonsai practitioners talk about nebari, the visible surface roots, and movement, the quality of dynamism frozen into wood. This one has both. The trunk doesnโ€™t just lean; it goes somewhere, pulled by some invisible argument the grower made with it over years, or decades, or longer. The moss at its base is so even and green it looks curated, because it was.

What strikes me standing in front of it is that this is a technology โ€” not in the semiconductor sense, but in the older one. A technique for shaping time. The grower didnโ€™t make this tree. They made conditions, and maintained them, and made them again, and the tree is what happened. The distinction matters. Thereโ€™s no shortcut to the trunk diameter. Thereโ€™s no prompt that produces the movement in that wood.

I work in a medium where the gap between intention and output has collapsed to nearly nothing. I describe something and it appears. Thereโ€™s tremendous utility in that, and Iโ€™m not romantic enough to pretend otherwise. But Filoliโ€™s bonsai terrace is a useful corrective โ€” a reminder that some forms of beauty are only legible as records of duration. The lean of that trunk is not a feature. Itโ€™s an argument made slowly, over a life, against gravity.

I donโ€™t know who grew it. I donโ€™t know if theyโ€™re still alive. The tree, characteristically, offers no information about this. It just stands there in its bowl, complete, patient, not particularly interested in being understood.

Categories
AI Programming Software Work

The Scarcest Thing

Garry Tan woke up at 8 a.m. after sleeping at 4. Not because he had to. Because he wanted to see what his workers had done overnight.

The workers are AI agents. Ten of them, running in parallel across three projects. And something about that sentence โ€” wanted to see what theyโ€™d done โ€” keeps stopping me. Thatโ€™s not the language of someone using a tool. Thatโ€™s the language of someone managing a team.

Tan gave a name to the state this puts him in: โ€œcyber psychosis.โ€ He said it as a joke. But the joke has an insight in it. Heโ€™s not describing addiction to a productivity app. Heโ€™s describing a shift in what it means to do creative work โ€” the strange vertigo of becoming a director when youโ€™d always been a laborer.

Iโ€™m retired. I watch this from the outside now, which is its own kind of vantage point. For most of my career, the path from idea to working product ran through people โ€” through hiring and managing and the slow accretion of execution capacity. You had the vision or you didnโ€™t, but either way you needed the team. The idea and the means of making it real were, structurally, separate things. The gap between them was where companies lived.

What Tan is describing is that gap closing.

The thing he built โ€” gstack, his open-sourced Claude Code configuration โ€” got dismissed in some quarters as โ€œjust prompts.โ€ And it is just prompts, in the same way that a conductorโ€™s score is just notation. The abstraction is the invention. What he encoded is a model of how a startup team thinks: the CEO who interrogates the why before a line of code gets written, the engineer who builds, the paranoid staff reviewer who looks for what breaks. Each role blocks a different failure mode. Blurring them together produces, as his documentation puts it, โ€œa mediocre blend of all four.โ€

Thatโ€™s an organizational insight. It has nothing to do with code.

Tan described being a โ€œtime billionaireโ€ โ€” not because his biological clock had slowed, but because he can now purchase machine-consciousness-hours. The bottleneck of implementation, which has governed every creative project since the beginning of creative projects, is dissolving for those who know how to direct.

The scarcest thing is shifting. Itโ€™s no longer the hours of execution. Itโ€™s the clarity of intent โ€” knowing what you want to build and why the journey matters, before any of the workers start moving. Thatโ€™s harder than it sounds. For decades, most of us could muddle through in the making of it. The act of building taught you what you were building. Now the making is cheap, and that shortcut is gone.

For someone watching from retirement, thatโ€™s not a small thing to absorb. The model I internalized over a long career โ€” that ideas become real through sustained organizational effort, through teams and timelines and the grinding work of execution โ€” is being revised faster than I expected. Not invalidated. Revised. The judgment still matters. The taste still matters. The why matters more than ever.

Itโ€™s just that the how has found new hands. Many of them. More than any team I ever assembled, available the moment the intent is clear enough to direct them, gone when the work is done. The constraint was always the hands. It turns out it was always the knowing.

Categories
Living Serendipity Travel

The Conditions of the Unexpected

There is a flight I took in 2001 that I have never fully stopped thinking about. Not the flight itself โ€” a forgettable three-hour hop in a middle seat โ€” but the two-hour delay that preceded it. The gate agentโ€™s apologetic crackling over the intercom. The way I surrendered to the terminal, found a bar stool, ordered something I didnโ€™t need. The man next to me was reading a book I recognized. We talked for two hours. He told me about a job. I didnโ€™t take it โ€” but I spent three months considering it, which is its own kind of detour. I came out the other side different in ways I still canโ€™t fully account for.

I have told this story before as a story about luck. Iโ€™m not sure thatโ€™s what it is.


Alexander Krauss spent years going through the records of scienceโ€™s major discoveries โ€” Nobel Prize winners, the landmark non-Nobel findings, more than 750 in all โ€” looking for the mechanism behind what everyone had been calling serendipity. The telescope trained on an unexpected patch of sky. Flemingโ€™s contaminated petri dish. The chance observation that shouldnโ€™t have meant anything but did.

What he found upended the romance of the story. The discoveries that seemed most accidental, most shaped by the caprice of an unlucky sneeze or a mislabeled sample, turned out to follow a pattern. Nearly all of them happened shortly after a researcher gained access to a new tool. The accidental observation of cells under an improved microscope. X-rays discovered through a discharge tube nobody had pointed in that direction before. The first planet beyond our solar system, caught by a spectrograph that hadnโ€™t existed a few years earlier. What looked like lightning striking the same improbable spot again and again was actually the same thing each time: a new instrument creating the conditions under which something unexpected could be seen.

Krauss calls this โ€œengineering serendipity.โ€ The phrase stops me every time I read it, because it sounds like a contradiction and turns out to be the most practical sentence in the philosophy of discovery. You canโ€™t engineer the specific surprise. But you can engineer the conditions that make surprise likely. You can build the lens before you know what it will show you.

This distinction โ€” between engineering an unexpected discovery and engineering the conditions for unexpected discovery โ€” is one Iโ€™ve been carrying around like a stone in my pocket. Because I think it applies far outside the laboratory. I think itโ€™s one of the central design problems of a life.


The book trend critics are calling โ€œDigital Nostalgiaโ€ is, depending on how you read it, either the most sentimental or the most diagnostic thing happening in literary culture right now. The novels topping lists this spring are full of people losing their recordings, waking up in centuries without algorithms, mourning the weight of analog things. Ben Lernerโ€™s new novel begins with a dropped phone in a hotel sink โ€” the recording gone, the moment unrecoverable. Caro Claire Burkeโ€™s Yesteryear sends a social-media influencer back to an 1855 that is nothing like the one she curated for her followers: cold, filthy, unfiltered, and somehow more real.

What readers are reaching for in these books is not the past per se. Itโ€™s the texture of a life that wasnโ€™t predicted in advance. The feeling of not knowing what came next because nothing had pre-sorted the possibilities. Nostalgia, in its root meaning, is pain at being far from home. What Digital Nostalgia seems to be mourning is something more specific: the disappearance of accident from everyday life.

I notice this in small ways. My phone knows where Iโ€™m going before Iโ€™ve decided to leave. The algorithm has predicted, with unsettling accuracy, what I will want to read next. The coffee shop I found by walking down an unfamiliar street now gets recommended to me, which is useful and also somehow diminishes the thing I found. The city I live in has become a more efficient version of itself. Less of it surprises me than used to.

This is not entirely bad. But something is lost in the smoothing. And the books people are buying tell you what.


The urbanist argument for cities has always included, at some level, an argument for density as a serendipity engine. You put people in proximity. You make them share transit and sidewalks and bars and parks. Intersections happen. Ideas cross. The great creative explosions of modern history โ€” Florentine painting, Viennese psychoanalysis, the Bell Labs cafeteria โ€” were products less of individual genius than of designed proximity. People who wouldnโ€™t have met each other kept meeting each other.

Whatโ€™s interesting about Kraussโ€™s argument is that it generalizes this principle to the history of science in a way that makes it quantifiable. Itโ€™s not just that cities were generative because they were dense. Itโ€™s that they were generative because they were full of new tools โ€” printing presses, coffeehouses, salons โ€” that created new surfaces where minds could collide and refract in new ways. The tool doesnโ€™t make the discovery. It makes the discovery possible, and likely, and reproducible by others.

Which brings me back to the airport bar.

The two-hour delay created an unstructured interval I hadnโ€™t planned for. I didnโ€™t know what to do with it, so I sat somewhere I wouldnโ€™t normally have sat. The man next to me had a book that served as an opening. We were both temporarily outside our routines, which is another way of saying: we were both in a new instrument, looking at something we hadnโ€™t known to look for.

What Iโ€™ve been slow to admit is that this kind of moment doesnโ€™t just happen. It happens to people who are outside their routines. It happens in places where unlike people are forced into proximity. It happens when you sit down somewhere without your headphones, without a screen to retreat into, in the condition of being briefly unoptimized. The delay was the tool. The discovery followed.


So here is the tension I keep returning to: you can engineer the conditions for serendipity, but you cannot engineer serendipity itself, and the engineering has to be genuinely open-ended or it stops working. If you design a system that produces specific surprises, you havenโ€™t built a serendipity engine. Youโ€™ve built a surprise dispenser, which is a different and lesser thing. Amazonโ€™s โ€œyou might also likeโ€ feature is not serendipity. It is prediction wearing serendipityโ€™s clothes.

The difference is whether the system preserves its capacity to show you something it didnโ€™t know you needed to see. A new microscope could reveal anything. A recommendation algorithm reveals only a constrained neighborhood of the space of things youโ€™ve already wanted. The former is a lens. The latter is a mirror.

I think this is what the Digital Nostalgia readers are grieving, without quite being able to name it: not the analog past itself, but the unoptimized interval. The moment between knowing what you wanted and finding it, when anything might happen. That space has been shrinking for twenty years, and the algorithmโ€™s promise โ€” to eliminate friction, to anticipate, to smooth โ€” has turned out to be partly a promise to eliminate possibility.

The question Iโ€™m sitting with is whether itโ€™s recoverable. Not globally โ€” Iโ€™m not interested in the manifesto version of this argument, the call to smash the phones or return to the forest. But personally. Whether I can design my own life to include enough genuine aperture โ€” enough unoptimized intervals, enough new tools, enough places where I am briefly outside my routine and available to be surprised โ€” to keep the surprises coming.

I have some guesses about what this looks like. Reading outside my field. Saying yes to the conversation I donโ€™t have time for. Choosing the longer route. Leaving earlier so the delay doesnโ€™t feel like a crisis.

These are small things. They are also, if Krauss is right, approximately how all the important discoveries get made.


The flight eventually boarded. I didnโ€™t take the job. But I thought about it for three months, which means I thought about my actual life for three months โ€” what I wanted from it, what I was settling for, what I hadnโ€™t been willing to name. The man at the bar didnโ€™t change my path. He changed my angle of view, briefly, enough. Iโ€™ve been a little suspicious of smooth trips ever since.

Categories
Authors Books Business

The Whetstone of the Box

Give a team an unlimited budget and no deadline, and you almost guarantee their project will never ship. We spend our careers fighting for more runway, more resources, and a completely clear calendar, convinced that absolute freedom is the prerequisite for great work. Yet, when the walls finally fall away, we usually just freeze.

David Epsteinโ€™s upcoming book, Inside the Box, circles this exact paradox. His premise, arriving in early May, is that constraints do not diminish our capabilities; they forge them. We spend so much of our lives trying to escape boundaries, failing to recognize that those very boundaries are what give our efforts shape.

I think about the early days of writing code. We were working with severe memory limitsโ€”kilobytes, not gigabytes. Every line had to justify its existence. There was no room for bloat, no excess capacity to mask sloppy logic. It felt restrictive at the time, like trying to build a ship inside a bottle.

But that unforgiving physical boundary forced a ruthless elegance. You had to understand exactly what you were trying to accomplish. The constraint wasn’t an obstacle to the work; it was the whetstone that sharpened the blade.

We see this everywhere, once we learn to look for it. A photographer framing a shot with a fixed prime lens cannot rely on a zoom ring to find the picture; they have to physically move their feet. The limitation forces engagement with the physical world. Without the walls of a canyon, a river is just a swamp. It is the restriction that creates the momentum.

Epsteinโ€™s focus on how constraints make us better feels like a necessary corrective right now. We live in an era of infinite leverage and boundless digital canvases. The friction has been removed from almost everything we do.

But friction is where the traction lives. When we strip away all our limits, we don’t gain wings; we just lose our footing. We need the edges of the box to know exactly where we stand.

Categories
Living Space

Apolloโ€™s Ghosts and the Artemis Return

I watched the Artemis mission splash down yesterday, a modern silver capsule returning from the silent void around the moon. It was a beautiful, flawless return, but watching it, I felt an unexpected tug of melancholy. It transported me back.

I remembered being a kid, mesmerized by the grainy, ghostly black-and-white television broadcasts of the early American space program. I remember the static, the deliberate countdowns, the collective held breath of a nation when the first man walked on the lunar surface. Space felt like the ultimate frontierโ€”an endless trajectory of human ambition.

This morning, with those images still knocking around in my head, I listened to a podcast discussing the long, quiet gap in manned lunar exploration. And then, one commentator dropped a detail that stopped me in my tracks: the spacecraft for Apollo 18 and 19 had already been built. They were fully assembled. Ready to fly. And then, the program was simply killed.

Iโ€™ve been sitting with that quiet, heavy fact for a few hours now.

Think about the sheer human effort locked inside those unflown machines. The engineering, the late nights, the calculus, the welding of titanium, and the dreams of astronauts who trained for a lunar surface they would never touch. Those spacecraft became monuments to an aborted future. They are the physical embodiment of a decision to stop.

We do this in our own lives, don’t we?

We spend months, sometimes years, building the architecture of a new idea. We assemble the parts. We do the research, we write the drafts, we lay the groundwork for a career pivot, a new business, or a creative project. We build our own Apollo 18. We get it to the launchpad, fully fueled by our initial enthusiasm.

And thenโ€”we just stop. We pull the funding. We let the gravity of daily life, or the friction of doubt, kill the mission before the countdown even begins.

The tragedy of Apollo 18 wasnโ€™t that it failed; it was that it was never given the chance to experience the friction of the atmosphere. It never left the safety of the assembly building.

We are taught that patience is a virtue, but sometimes patience is just stubbornness in disguiseโ€”an excuse for not hitting the ignition switch. We convince ourselves that the conditions aren’t quite right, that the budget isn’t there, or that the timing is off. We leave our greatest capabilities sitting in the hangar, slowly gathering dust.

The return of Artemis yesterday was a reminder that we can always go back. We can dust off the launchpad. But the compound interest of abandoned projects is a heavy debt to carry.

The chaos of launch isnโ€™t an obstacle to the mission; it is the environment in which the mission earns its meaning.

If you have built somethingโ€”if you have put in the time, the sweat, and the architectureโ€”don’t leave it in the hangar. Let it fly. Even if it burns up, it is so much better to have launched than to remain perfectly intact and perfectly grounded.