Tag: lifelong learning

Categories
AI Books Writing

The Tax We No Longer Have to Pay

When Carol Coye Benson and I sat down to write Payments Systems in the U.S., one of the first problems we had to solve wasn’t about payments. It was about history.

To understand why the ACH network works the way it does, or why checks persisted decades longer than anyone expected, you need the institutional sediment underneath — the regulatory decisions, the failed experiments, the path dependencies baked in by choices made in the 1970s that nobody thought would still matter in the 2000s. The history is the explanation. Strip it out and you have a description of current practice with no account of why it exists or what it cost to get there.

But history takes pages. And pages test a reader’s patience. So you compress. You make judgment calls about what survives the cut and what gets left behind, and you make those calls knowing that every omission is a bet — a bet that the reader can follow without it, that the thread holds without that particular knot.

Writing it taught me something. The act of compressing, of finding the minimum sufficient version of a complex thing, forces a clarity that living inside the complexity never quite delivers. You don’t fully know what you understand until you have to say it precisely enough for someone else to follow.

But compression is always a loss. You feel it as you write. The version in the book is thinner than the thing you know.

Garry Tan uses a term — “tokenmaxxing” — that initially sounds like jargon from a performance optimization thread. The idea is simple: don’t be stingy with context. Give the model everything. Every source document, every relevant article, every piece of background that a human reader would never sit still for. Let it synthesize rather than guess.

The instinct it runs against is deep. We have spent decades building information systems around compression — search engines that retrieve rather than ingest, executive summaries that stand in for reports, one-pagers that distill months of work into something a decision-maker can absorb in four minutes. All of it was a rational response to a real constraint: human attention is finite and expensive. You couldn’t afford to read everything, so you built filters. The whole architecture of how organizations manage information was designed around that limit.

Tokenmaxxing is a bet that the limit has moved.

The model can read everything. The cost of giving it full context — the uncompressed history, the original sources, the institutional sediment — is low enough now that filtering before the model sees it may introduce more error than it prevents. You’re potentially discarding signal when you summarize for the model the way you’d summarize for a human. The model doesn’t need the one-pager. It can handle the report.

This doesn’t dissolve the need for curation entirely. More context isn’t always better — models can lose the thread in noise the same way humans do, just differently. The skill shifts from summarizing to selecting: not what’s the minimum version of this but what’s actually worth including. Different judgment, still essential.

But the deeper change is upstream of any particular project. The compression we built into every research process, every briefing, every book — that was never the goal. It was the tax we paid for human cognitive limits. Part of the process doesn’t pay that tax anymore.

When I think about writing that payments book today, I don’t think the book itself would change much — it still has human readers with finite patience. But the map we drew before writing it, the synthesis work, the “what connects to what across fifty years of regulatory history” work — that could happen at a different depth now. The understanding you bring to the writing can be informed by everything, not just the subset you had time to read.

The payments book was written entirely for humans, with all the compression that implies. But Tyler Cowen just published what he calls a “generative book” — 40,000 words released free online, paired on the same screen with a Claude interface so readers can discuss, interrogate, and extend it in real time. He’s writing for both audiences simultaneously now. The human reader and the model that will help that reader go deeper. The text is optimized not just to be understood but to be used — as context, as a jumping-off point, as raw material for a conversation that the author won’t be in.

That’s a different kind of writing. Not better or worse. Different. The compression decisions change when one of your readers has no patience to protect.

Writing still clarifies thinking. That part hasn’t changed. But what you’re clarifying, and who you’re clarifying it for, is quietly expanding.

Categories
AI AI: Large Language Models

The 3D Printer That Prints Better Printers

Imagine a 3D printer that looks at its own design and begins printing a better version of itself. The loop closes. What had always required an external human intelligence now happens inside the machine. All by itself.

Jack Clark — Anthropic co-founder, someone who has spent years closer to this technology than almost anyone — puts the odds of this happening by 2028 at better than even. I have been turning that number over ever since I heard it. Not the technical claim, exactly. The feeling of it.

We have grown used to AI accelerating our work. Coders watch models close GitHub issues at rates that would have seemed miraculous eighteen months ago. Researchers delegate experiment design, kernel optimization, even the fine-tuning of smaller models. The scaffolding of AI progress is already being built, in part, by the systems themselves. But the moment the system begins to redesign the scaffolding — that is something new.

What unsettles me is not the raw capability, though that is staggering. It is the loss of distance.

For most of technological history, the creator stood outside the creation. Even the most sophisticated tools remained tools. Now the distinction begins to blur. A model that can meaningfully improve its own training process, its own architecture, its own alignment constraints, is no longer merely reflecting human intent back at us. It is participating in the shaping of its own nature. And because each iteration can happen faster than the last, the curve steepens in ways our intuitions, tuned to linear progress, struggle to grasp.

Clark is careful, as he should be. He speaks of validation work that will still fall to humans, of the need to broaden the pipes through which abundance flows, of preparing defense-dominant postures against misuse. Yet the image that lingers for me is quieter: the silence after the handoff. What does it feel like when the thing you have been painstakingly teaching begins to teach itself — and then to teach its teachers?

I think about Leo Szilard at the traffic light, or the first controlled chain reaction under the stands at the University of Chicago. Moments when a new regime of possibility quietly announced itself. Recursive self-improvement carries that same charge — not a single event but a process, one that could accelerate the very pace of events themselves.

The more I sit with it, the more I return to an older tension in our relationship with tools. We build them to extend ourselves, and in doing so we are always, subtly, extending — or perhaps risking — what we are. The values I try to live by — generosity, curiosity, compassionate honesty — are not refined in specifications. They are refined in friction, in relationship, in the slow work of being human with other humans. If the machines begin to optimize their own lineage at speeds we cannot match, will we still have the bandwidth to tend the parts of ourselves that no algorithm can yet measure?

I don’t know. None of us do. That uncertainty feels honest.

What feels clearer is the invitation. Not to fear the printer that prints better printers, nor to worship it, but to remain awake inside the loop. To ask, as each new version arrives, what kind of world we are collectively printing — and whether the values we claim to hold are baked into the design or merely etched on the surface, likely to wear away under the heat of iteration.

The light is still yellow. We are still deciding whether to step off the curb. But the traffic is already moving faster than it was a moment ago.

Categories
Living Serendipity

Why Comfort Zones Block Serendipity and Growth

Barista preparing coffee with customers sitting and chatting in a cozy café
Customers enjoy coffee and pastries in a warm, inviting café

Serendipity used to be the default setting of my days, but recently I find myself having a quiet, losing negotiation with the front doorknob every time I try to step outside. There is a specific, invisible weight to the handle on a quiet evening—a subtle, undeniable gravitational pull that recommends I simply stay inside. My favorite reading chair feels less like comfort these days and more like an anchor.

I have been writing in this space since 2001. If you look back through the archives of my life—both the digital ones and the memories filed away in my head—you will find a younger version of myself who frequently and willingly threw himself into the unknown. Back then, I assumed serendipity would always just be there, waiting for me to stumble into it on a diverted commute or during a late, unplanned dinner.

Lately, I’ve noticed a subtle shift. As I’ve gotten older, my comfort zone has hardened from a permeable boundary into a brick wall. The things that once sparked a quiet thrill of spontaneity—a sudden change of travel plans, an unfamiliar route home, saying yes to an event where I know absolutely no one—now often trigger a low-grade exhaustion before they even begin. I find myself pre-calculating the energy cost of every deviation from the routine. I weigh the known comfort of my home against the unpredictable variables of the outside world, and the home usually wins.

But I have been sitting with a growing realization lately: when we meticulously optimize our lives for comfort, we inadvertently foreclose on serendipity.

Serendipity requires a loose grip. It demands a willingness to be occasionally inconvenienced. You cannot schedule a chance encounter, and you cannot algorithmically generate a moment of sudden, blinding clarity. Those things only happen in the messy, unmapped spaces between our planned destinations. They live in the friction of the unexpected.

I often think about the writers and thinkers who deliver sentences with such compression and weight. Their most profound insights didn’t arrive because they stayed perfectly insulated from the world. They arrived because they allowed themselves to be interrupted by it.

I am trying to learn how to open the door again. It doesn’t mean manufacturing chaos or pretending I have the boundless, restless energy of my thirties. Acknowledging my own changing capacity (especially physically) is necessary, but using it as an excuse to stop exploring is a mistake.

Overcoming this gravity means making a conscious, deliberate choice to leave the itinerary blank for an afternoon. It means taking the long way home, even when the usual route is faster. It means accepting that the discomfort of stepping outside the routine is the unlock to open a new experience.

The architecture of a well-lived life isn’t built out of safety. The most interesting rooms are the ones we never intended to enter but just happened into.

Categories
Living Sports Writing

When the Lights Come On

I was listening to a conversation with the writer Wright Thompson recently, and he struck a profound chord when talking about why he is so captivated by sports. He distilled the entirety of athletic competition down to a single, brilliant truth: it is all about who you are when “the lights come on.”

If you have ever stood in a massive arena or a darkened stadium just before the main event, you know exactly the feeling he means. The anticipation in the air isn’t just an emotion; it is a physical weight. You can feel the collective breath of thousands held in suspense. And then, with a sudden, sharp clack of the breakers, the big stadium lights hit. The room almost shakes with the sudden injection of energy. In that brilliant, unforgiving glare, every shadow vanishes. There is nowhere to hide.

We are taught from a young age to prepare, to practice, to build our skills in the quiet comfort of the shadows. We spend so much of our lives rehearsing our arguments, refining our projects, and constructing our mental models. We tell ourselves stories about who we are and what we are capable of achieving. But the true test of our character—the raw, unfiltered reality of our competence—isn’t found in the safety of preparation.

It is revealed in the sudden shock of execution.

Thompson’s observation about sports is ultimately an observation about the human condition. We aren’t all athletes waiting in the tunnel, shifting our weight from foot to foot, but we all face our own versions of the stadium lights.

I think about the seasons in my own life when the lights suddenly flared. The unexpected crisis that derailed months of careful planning. A sudden pivot required in a business strategy. A moment demanding moral courage when it would have been infinitely easier to remain quietly in the background. In some of those moments, I stepped up, grounded by the quiet work I had done in the dark. In others—and I admit this with a wince—I blinked against the glare, my confidence suddenly outpacing my competence.

That is the terrifying, beautiful geometry of choices. When the lights hit, the gap between who we claim to be and who we actually are is illuminated for everyone to see.

There is a kind of extreme accountability in that moment. It strips away the hedging and the theoretical. You either make the play, or you don’t. You either hold your ground, or you retreat. It is a crucible that burns away the superfluous, leaving only the essential truth of our character.

We cannot control when the switch will be flipped. The world has a habit of throwing us onto the stage precisely when we feel least ready. But we can control how we build ourselves in the dark. We can ensure that our patience isn’t just stubbornness in disguise, and that our confidence is deeply rooted in reality.

The chaos of the sudden glare isn’t an obstacle to the mission; it is the environment in which the mission earns its meaning. The lights will come on. They always do.

The only question that matters is who we will be in the glare.

Categories
Living Space

Apollo’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 frontier—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.

I’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 then—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 wasn’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 disguise—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 isn’t an obstacle to the mission; it is the environment in which the mission earns its meaning.

If you have built something—if you have put in the time, the sweat, and the architecture—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.

Categories
AI

The Geometry of Speed

We are surprised when witnessing something move faster than our intuition expects. We are inherently wired to understand slow, compounding growth. We expect the long, grinding years of the plateau—the quiet periods where nothing seems to happen before a sudden breakthrough.

I was looking at a chart Patrick Collison shared this morning, and it challenged that very intuition. It’s a simple, stark visualization: AI model intelligence relative to the formation date of the lab that built it.

If you trace the lines for Google and OpenAI on the right side of the graph, you see the history we’ve all lived through. Thousands of days—more than a decade of quiet, methodical, often unglamorous research—before their trend lines finally bend and shoot upward. It is a geometry of patience. It’s the visual representation of laying bricks, one by one, year by year, until you have a foundation sturdy enough to support the weight of a revolution.

And then, on the far left of the chart, there is a red line. MSL. The team behind Meta’s new Muse Spark model, released today.

The red line doesn’t curve. It doesn’t slope. It simply strikes straight up, like a lightning bolt in reverse.

In roughly 200 days since formation, this new effort achieved a level of capability that took the early pioneers thousands of days to reach. Collison noted how much he loves seeing things done quickly, and it’s hard not to share that specific, visceral thrill of seeing the boundaries pushed so aggressively.

I find myself thinking about the architecture of speed and what it means for the rest of us.

We spend so much of our lives absorbing the lesson that “good things take time.” We are taught that the crucible of meaningful work requires a long, slow simmer. And mostly, that remains true. The compound interest of human experience is real, and wisdom is rarely rushed.

Yet, every once in a while, a new paradigm emerges that doesn’t just accelerate the timeline—it collapses it entirely.

The pioneers cut the agonizingly slow path through the jungle, taking the brunt of the time, the friction, and the missteps. The ones who follow—like xAI, Anthropic, and now MSL—don’t have to clear the brush from scratch. They can look at the map, pave the road, and simply drive.

What does it mean for our own mental models when the timeline from “formation” to “frontier” shrinks from five thousand days to a few hundred?

It is a jarring reminder that the past pace of performance is not a law of physics.

I think about my own assumptions—how often I assume a project, a habit, or a societal shift will take a while, simply because similar things took a while in the past. We anchor our expectations to old geometry.

Meta’s release of Muse Spark is a technical feat, certainly. But the chart itself holds a broader, more human lesson. It’s a visual prompt to constantly re-evaluate our assumptions about how long the impossible is supposed to take.

The future doesn’t always arrive on a comfortable, predictable schedule. Sometimes, it just shows up unannounced, demanding we adjust our stride to keep up.

Categories
Living Music Writing

The Tonic Chord of a Life

We spend a good portion of our lives surrounded by noise. Not just the literal kind—the hum of traffic or the ping of notifications—but the internal noise of unresolved tensions.

I was reminded of this while listening to a recent conversation between David Perell and the legendary journalist Tom Junod (https://youtu.be/JnHTUyZjwiY). Towards the end of their sprawling, beautiful discussion, Junod introduced a metaphor about writing that made me pause the audio and just sit with it for a moment. He talked about the “tonic chord.”

“Musicians, you know, back in the day, they were always looking for the tonic chord. And writing, I’m always looking for the tonic chord… where all the discordant harmonies are resolved in a single ba-boom, you know, at the end of Beethoven or whatever… looking for some sort of resolution to the stuff that gnaws at me.” [00:39:42]

It’s a striking image. In music theory, the tonic is the home base, the center of gravity. It is the chord that finally brings rest after a long sequence of tension and suspense. Without the preceding dissonance, the tonic chord has no power. The chaos isn’t an obstacle to the resolution; it is the very environment that makes the resolution meaningful.

This applies far beyond the blank page. We are all, in our own ways, searching for our tonic chords.

We carry around the stuff that gnaws at us—the contradictions in our relationships, the career choices that look good on paper but feel hollow in the chest, the quiet hypocrisies we tolerate in ourselves. These are the discordant notes. We spend so much of our lives trying to ignore them, turning up the volume on our daily routines to drown out the clash. Or we try to fix them with brute force, stubbornly demanding harmony before we’ve even listened to the melody.

But maybe the point isn’t to erase the tension. Junod’s genius—both in his essays and in this metaphor—is his willingness to sit with the discomfort. He looks directly at the friction. He places two opposing truths right next to each other, letting them rub like tectonic plates, waiting patiently for that final chord to finally release the pressure.

I think about the architecture of a well-lived life in much the same way. The most resonant moments I’ve experienced haven’t come from a smooth, unbroken string of successes. They usually arrive right after a period of intense confusion or struggle—a sudden moment of clarity on a foggy morning walk, a tough but honest conversation with a friend, or finally letting go of an idea that had lost its spark.

That sudden ba-boom of clarity. The release.

We are taught from childhood that a good life should be harmonious. But true harmony is earned. It requires us to listen closely to the discordant parts of our lives, to bear witness to our own messes and mysteries, and to patiently search for the truth that finally brings them all together.

Often, it is the ultimate act of self-awareness.

Seek serendipity.

  • , , , , , , , , , , , , , , , , , , , ,
Categories
Curiosity

Hunting for the “Why”

I’ve spent a lot of time watching people—myself included—hit what feels like a glass ceiling. We often chalk it up to a lack of “natural talent” or the missing spark of genius. We look at the high-flyers in our industry and assume they were born with a blueprint we never received. But lately, I’ve realized that the most successful people I know aren’t necessarily the ones with the highest IQ; they’re the ones who simply never stopped asking why.

Bill Gurley puts a name to this:

“The thing that will differentiate you more in your career than anything else is being the most hyper-curious person.”

For me, curiosity isn’t a personality trait; it’s an appetite. It’s that itch in the back of your brain when something doesn’t quite make sense. Hyper-curiosity is the willingness to be the “annoying” person who asks for the raw data or the one who stays up an hour late following a rabbit hole that has nothing to do with tomorrow’s to-do list—and everything to do with how the world actually works.

We live in an age where the “ivory tower” has been dismantled. The walls are down.

“I can’t make you the most talented person in your company or your field, but you have no excuse not to be the most knowledgeable person. The information is all out there.”

This hits hard because it removes our favorite excuse: “I just wasn’t born for this.” It shifts the weight from our DNA to our discipline. I’ve found that the moment I stop being a passive consumer and start being a hunter of information, my world gets bigger. Knowledge is the only asset that doesn’t depreciate; in fact, it compounds.

When you commit to being the most curious person in the room, you aren’t just “doing well.” You are building a life in high-definition.

“If you are the most curious person constantly learning in your field, you will do extremely well.”

But beyond the “doing well,” there’s a deeper peace that comes with it. You realize that you don’t need to be the smartest person in the room—you just need to be the one most willing to learn from it.

Categories
Business

Everything You Need Is Out Front

Lee Child is not primarily known as a writer of consumer psychology, but Jack Reacher notices things — it’s rather the point of him — and in Nothing to Lose, Child gives his Jack a quiet moment of genuine curiosity:

“For many years Reacher had wondered why hardware stores favored sidewalk displays. There was a lot of work involved. Repetitive physical labor, twice a day. But maybe consumer psychology dictated that large utilitarian items sold better when associated with the rugged outdoors. Or maybe it was just a question of space.”

Reacher being Reacher, he files the observation and moves on.

But I couldn’t. Because he’s right — hardware stores do this, reliably and almost universally, and I’m not sure I’d ever consciously noticed it before reading that passage. Now I can’t stop noticing it.

There is something almost theatrical about the hardware store sidewalk display.

Wheelbarrows nested inside one another like Russian dolls. Stacks of plastic tubs in graduating sizes. Garden hoses coiled on hooks. Snow shovels in August, leaf blowers in April — the stock doesn’t always match the season, which suggests the display is less about merchandising logic than about something else entirely. It is a kind of flag, planted on the sidewalk: we are here, we are open, we have what you need.

Hardware stores occupy a peculiar and irreplaceable niche in the retail ecosystem. They are not quite like other shops.

A bookstore invites browsing; a grocery store moves you through a deliberate circuit; a clothing store sells you an idea of yourself. But a hardware store operates on a different premise entirely — the premise of the problem already in progress.

Nobody browses a hardware store the way they browse a bookstore. You come in because something is broken, leaking, stuck, squeaking, loose, or missing. You come in with a specific hole in your world that needs filling, and the hardware store’s job is to have the exact, obscure, oddly satisfying thing that fills it.

The sidewalk display, seen in this light, is a signal to that particular state of mind. It says: your problem is solvable. It projects competence and abundance before you even walk through the door. Those wheelbarrows and tubs and coiled hoses aren’t really for sale so much as they are reassurance — evidence that whoever runs this place has thought about what you might need and has made sure it’s available. The display is a promise made in hardware.

There is also something about the ruggedness of it — Reacher’s instinct about the outdoors isn’t wrong.

A bag of mulch sitting on a pallet in the open air feels different from the same bag of mulch on a climate-controlled shelf inside.

The independent hardware store does this better than the big box retailers, because the sidewalk display at a local hardware store carries the additional weight of relationship. The owner made a decision about what to put out front today, which means someone thought about it, which means someone is paying attention. The Home Depots of the world have sidewalk displays too, but they feel more like sheer marketing than curation.

Reacher suggests two reasons and moves on: consumer psychology, or space. Probably both. I suspect there’s also a third thing — the sidewalk display as an act of daily optimism.

Someone got up this morning, brought the wheelbarrows out, and arranged them on the sidewalk. They did it yesterday. They’ll do it tomorrow. They are betting that you will come around the corner with a problem and feel a small flood of relief when you see them there, ready.

Smart. And sort of comforting.

Categories
Books Writing

The Secret Handshake

Author George Saunders has a gift for articulating things you already knew but couldn’t say.

I was reminded of this recently when I returned to A Swim in a Pond in the Rain, his generous, luminous masterclass on Russian short fiction — the book that uses Chekhov, Turgenev, Tolstoy, and Gogol as a lens for understanding what fiction actually does to a reader, and why.

Early on, Saunders wonders whether there might be certain laws governing how we respond to stories — not rules handed down by writing programs, but something closer to instinct, something wired into the reading mind.

One of his candidates is physical description. “We like hearing our world described,” he writes. “And we like hearing it described specifically.”

That line stopped me. It has the quality of a truth that, once named, you begin seeing everywhere — in the books you love, in the passages you’ve underlined without quite knowing why, in the sentences that have stayed with you for years long after the plot has faded.

Plot pulls us forward. Character keeps us invested. Ideas give us something to argue with on the drive home. But it’s the specific physicality of a story that makes it land in the body.

“It was raining” barely registers. Tell me instead about raindrops beading on a leaf, or the way mud sucks at a boot heel with a wet shlup, and suddenly I’m not reading about a place — I’m standing in it.

Why should this be?

Saunders doesn’t fully explain it, and maybe the honest answer is that no one fully can.

Our brains are pattern-matching machines, wired by evolution to map territory and imagine consequence — and concrete detail feeds that machinery directly. Or maybe the explanation is simpler and more generous: we love the world, and hearing it rendered with precision is a form of praise.

Whatever the reason, the great writers have always known this law and obeyed it joyfully. With the help of AI I’ve collected a few good examples.

Consider the opening of Hemingway’s A Farewell to Arms:

In the bed of the river there were pebbles and boulders, dry and white in the sun, and the water was clear and swiftly moving and blue in the channels. Troops went by the house and down the road and the dust they raised powdered the leaves of the trees.

No grand metaphors. Just pebbles, dust, leaves, color, motion. Yet the scene is so tangible you can almost taste the grit. And the specificity does double duty — it grounds us in a real place while quietly foreshadowing the war that will eventually powder everything.

Dickens, who worked at a different scale entirely, goes symphonic with it. The opening of Bleak House is one of the great set pieces in the language:

Fog everywhere. Fog up the river, where it flows among green aits and meadows; fog down the river, where it rolls defiled among the tiers of shipping and the waterside pollutions of a great (and dirty) city… Fog creeping into the cabooses of collier-brigs; fog lying out on the yards and hovering in the rigging of great ships… fog cruelly pinching the toes and fingers of his shivering little ’prentice boy on deck.

The repetition is hypnotic, but it’s the specificity — cabooses, rigging, toes, pipes — that transforms weather into a living, malevolent presence. You don’t just read the fog. You feel it in your lungs.

Fitzgerald does something different again in The Great Gatsby, using the same technique to make moral decay feel physical and inescapable:

This is a valley of ashes — a fantastic farm where ashes grow like wheat into ridges and hills and grotesque gardens; where ashes take the forms of houses and chimneys and rising smoke and, finally, with a transcendent effort, of men who move dimly and already crumbling through the powdery air.

Ashes don’t just lie there — they grow, they form, they crumble. The grotesque precision turns an industrial wasteland into an image of everything the Jazz Age is trying not to look at.

And then there is Chekhov, who Saunders loves most of all. In “Gooseberries” — the story that gives Saunders his title — Ivan Ivanych plunges into a river in the rain:

He plunged into the water with a splash and swam in the rain, thrusting his arms out wide; he raised waves on which white lilies swayed.

Those white lilies swaying on the disturbed water — two words, one image — capture pure animal joy more vividly than any abstract declaration of happiness ever could. It’s the kind of detail that makes you want to jump in yourself.

Saunders is right.

Our reading minds light up at this stuff. Specific physical description isn’t decoration or craft-workshop virtue signaling — it’s the secret handshake between writer and reader. It says: I noticed this small, real thing. Did you?

In a world increasingly mediated by screens and summaries and the frictionless delivery of abstracted information, fiction’s quiet insistence on the pebbles and the fog and the lilies feels almost like an act of resistance. It insists that the world is worth looking at. That the particular matters. That rendering one thing exactly right is worth more than gesturing vaguely at everything.

So next time you’re reading — or writing — linger on the details. Describe the world specifically. Our hungry minds will thank you for it.

Questions to Consider

  1. Saunders suggests physical specificity might be a kind of law in fiction — something the reading mind responds to almost instinctively. Do you think this is universal, or culturally conditioned?
  2. The examples here are all from the Western literary canon. Does this law hold in traditions — Japanese, Russian, African, South Asian — that handle interiority and landscape differently?
  3. If our appetite for specific physical detail is partly evolutionary — the brain mapping territory — what does it mean that so much of what we now consume is deliberately abstract and summarized?
  4. Can over-specificity fail? Are there writers who pile on detail to the point where it stops doing its work?
  5. Saunders uses fiction to make the point, but does the same law apply to nonfiction, memoir, or long-form journalism — and if so, who are the writers doing it best right now?