Categories
AI

Hands He Can’t Feel

Note: a fictional story exploring how software development is changing in the world of Claude Code, Antigravity, etc.

The cursor blinks for maybe two seconds. Then the code appears, all of it, a function Pete Callahan had been turning over in his head for the better part of a morning, just there, complete and correct and formatted the way he would have formatted it himself. He reads it the way you read something you’re looking for an error in. There isn’t one. He leans back in his chair in a way that isn’t quite satisfaction and isn’t quite anything else he has a word for.

Bewildered, maybe.

Outside his window, Dayton is doing what Dayton does in February, which is endure. The city has always been good at that. The Wright Brothers built their first serious wind tunnel a few miles from here in a room above a bicycle shop, testing wing shapes that didn’t exist yet, failing in ways that taught them something. Pete grew up knowing that story the way you know the streets of the neighborhood you grew up in — not as history exactly, more as weather. Just a thing that was true about where you were from.

His father would have understood the wind tunnel. You build the thing to test the thing. You put in the hours. That’s how knowledge works.

Pete is no longer sure that’s how knowledge works.


His father, Ron Callahan, spent thirty-one years at Wright-Patterson keeping F-16s in the air. Not designing them, not flying them. Maintaining them. There is a difference and Ron has always understood it as a moral one. The pilot trusts you with his life in a way that is not metaphorical. You either know what you’re doing or you don’t. There is no almost.

He lives twenty minutes from Pete in a house that smells like coffee and WD-40, a combination Pete has never encountered anywhere else and that means, without his being able to say exactly why, that everything is okay. Ron is seventy-one now, still straight, still with the unhurried precision in his hands that Pete watched as a boy and tried to understand as a kind of language. On Sundays Pete drives over. They watch whatever game is on. Ron sets a mug in front of him without asking.

This particular Sunday Ron asks how work is going the way he always asks, with genuine interest and the slight remove of a man who has never quite been able to picture what his son actually does all day.

It’s great Dad. But it’s changing faster than ever before.

Ron nods. He has seen the F-4 give way to the F-16 give way to systems so sophisticated the maintenance manuals run to thousands of pages. He knows about change. You learn the new thing, he has always believed, or the new thing leaves you behind. Simple as that.

He hears his son’s sentence as a version of something he has said himself.

He’s not wrong, exactly. He’s just not quite right either.


Driving home Pete thinks about the kids he came up with, the ones from places like Dayton who found in code what the world didn’t always offer elsewhere — a domain where being right was demonstrable, where quality was real, where the machine didn’t care about your intentions. It had shaped him the way Dayton shaped him. Not as ideology. Just as weather.

He still believes that, mostly.

It’s just that the machine has changed its mind about what knowing means.


What Pete cannot explain, what he doesn’t have the language for yet, is that the change he is living through is not like learning a new aircraft. When the F-16 replaced the F-4, the mechanic’s relationship to the machine stayed intact. Hands on metal. Knowledge earned through repetition, through failure, through the slow accumulation of understanding what the thing wanted to do and what it didn’t. The new plane was more complex but the posture was the same. Man serving machine serving pilot. The chain held.

What is happening to Pete is something else. Something that doesn’t have a clean analogy in Ron’s world, or in the history of Dayton, or in the mythology of the American craftsman that Pete absorbed so completely he doesn’t even know he’s carrying it.

He is still building things. He is building better things, faster, than he ever has. But somewhere in the last eighteen months the relationship changed in a way he is still trying to locate. He used to be the one who knew. Now he is the one who directs something that knows, which sounds like a promotion and feels like something more complicated than that.

His father’s hands always knew what to do.

Pete is learning, at thirty-eight, to work with hands he can’t feel.


By ten o’clock the house has the particular quiet of a place that is usually fuller than this. Sarah’s coffee cup from this morning still on the counter. Her shoes by the door. The small evidence of a life that will resume at midnight when he hears her key in the lock, and until then it’s just Pete and the screen and whatever this is that he’s trying to figure out.

What he does, alone in the house on these nights, is push. He takes the thing further than the task requires. Asks harder questions. Builds something more complex than anyone asked for just to see where the edges are, just to understand what he’s actually working with. It is the same impulse that kept his father an extra hour on a Friday, checking something that had already been checked, because almost certain was not the same thing as certain and a pilot was going to trust this machine with his life.

The ethic transferred even when the medium changed.

Even now, when the medium is changing again.


He thinks about his father’s hands sometimes, late like this. The way they moved with that unhurried precision, never rushed, never uncertain, each motion the product of so much repetition it had passed through knowledge into something that lived below knowledge. Pete watched those hands as a boy the way you watch something you are trying to learn without knowing you are learning it.

He used to think he had built something like that himself. The ability to hold a system in his head, to feel where it wanted to go, to know. The hands that knew what to do.

What he is building now he cannot quite name yet. It is not that the knowledge is gone — if anything it matters more, sits heavier, earns its keep in ways it didn’t before. But the relationship is different in a way he is still trying to locate, still turning over on these quiet nights while Dayton endures outside the window and Sarah’s shoes wait by the door and the cursor blinks with the particular patience of something that does not need him to be ready.

He types. The code appears.

He reads it the way his father checked what had already been checked.

Not because he doesn’t trust it.

Because that’s what you do when it matters.

Categories
Living Norway Sports

The Norwegian Secret: Play Over Pressure

The Winter Olympics arrive, and like clockwork, a nation of just over five million people sits comfortably atop the global medal table. It defies traditional logic. You look at countries with massive populations, vast alpine resources, and infinitely deeper pockets, and yet, Norway outpaces them all. We naturally assume their secret is a spartan, rigorous system. We picture toddlers strapped to skis, enduring grueling regimens under the watchful eye of demanding coaches.

But the truth is far more subversive and, frankly, a little humbling. The Norwegian secret isn’t a hyper-competitive factory of future champions. It’s the radical, almost rebellious act of just letting kids play.

Watching a recent deep-dive into this phenomenon, the contrast is stark. In Norway, youth sports aren’t about building a resume or chasing a polished plastic trophy. In fact, until they reach their early teens, Norwegian kids don’t experience the manufactured pressure of scoreboards, rankings, or regional championships. The mandate is incredibly simple: do what you want, for as long as you want, as long as it remains interesting to you.

This runs entirely counter to the culture of early specialization and relentless achievement we are so accustomed to in the rest of the world. We are often told that if a child hasn’t picked their lane by age seven—if they aren’t on the elite travel team, practicing six days a week—they are already falling irrevocably behind. We apply the anxieties of adulthood to the playgrounds of childhood. We emphasize the grind, convinced that pressure is the only thing that creates diamonds.

Yet, the Norwegian model suggests that early pressure might just crush the joy right out of the endeavor. The athletes who eventually stand on the Olympic podium often share a surprisingly casual origin story. They didn’t burn out by age twelve because they were never forced to specialize.

“Yeah, I was a slalom skier until I was 14, and then I got bored and switched to the biathlon.”

The cross-training happened naturally. The athleticism was built not through forced repetition, but through sheer, unadulterated exploration. Because there was no pressure, they developed a deep, intrinsic love for the snow, the ice, and the movement itself.

There is a profound philosophical lesson here that extends far beyond winter sports. It’s about how we cultivate mastery in any domain of life. When we remove the external validations—the immediate rankings, the trophies, the fear of losing—we create space for genuine, intrinsic motivation to take root. We allow curiosity to be the engine of growth.

Think about our own careers, our hobbies, and our personal development. How often do we abandon something we might have eventually loved because we weren’t immediately “winning” at it? How much deeper could our skills run if we allowed ourselves the grace to be amateurs, to switch paths when our interests evolved, without feeling like we were falling behind on some imaginary scorecard?

Letting kids play isn’t just a strategy for hoarding gold medals; it’s a blueprint for sustainable success and resilience. It turns out that when the stakes are kept low, the ceiling for human potential is incredibly high. The best way to build a champion, it seems, is to forget about the championship entirely and just enjoy the snow.

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
AI Business Work

The Curator of Intent

I have always found a certain comfort in the “clatter” of a digital workday. It’s that specific, rhythmic hum of a mind in motion—the clicking of a mechanical keyboard, the invisible friction of parsing a difficult paragraph or balancing a complex budget. For years, we’ve treated this white-collar grind as our intellectual sanctuary.

But Mustafa Suleyman, now steering Microsoft AI, recently laid out a timeline that suggests the sanctuary walls are evaporating.

From an article in the Financial Times:

“White-collar work, where you’re sitting down at a computer, either being a lawyer or an accountant or a project manager or a marketing person — most of those tasks will be fully automated by an AI within the next 12 to 18 months,” Suleyman said.

This isn’t just about efficiency; it’s about a fundamental shift in the “professional grade.” We are entering the era of the autonomous agent—AI that doesn’t just wait for a prompt but “coordinates within workflows,” learns from its environment, and acts. Just ask any programmer that you know how AI is impacted their daily grind.

If Suleyman is correct, the “knowledge worker” is about to undergo a forced evolution. When the “doing” is handled by an agent that can learn and improve over time, what remains for the human? Will the models actually be able to learn from each of us in a personalized way – like an intern learns from her mentor?

“Creating a new model is going to be like creating a podcast or writing a blog,” he said. “It is going to be possible to design an AI that suits your requirements for every institutional organisation and person on the planet.”

It seems like our primary job description shifts from “Expert,” but “Curator of Intent.” We aren’t the ones finding the answers anymore; we are just the ones responsible for asking the right questions.

The next 18 months won’t just be a test of our technology, but a test of our egos. We have to learn to find our value not in the work we produce, but in the vision we hold and the questions we ask. We are shedding the “task” to save the “craft.” I just hope we remember the difference.


As we move toward this curated future, I’m left with a few questions I can’t quite shake. I’d love to hear your thoughts:

  1. The Wisdom Gap: Can you truly be a “Curator of Intent” without having ever been a “Doer of Tasks”? If we skip the apprenticeship of the mundane, where does our intuition come from?
  2. The Metric of Value: If output becomes “free,” how should we measure a human’s value in a professional setting?
  3. The Line in the Sand: Is there a part of your workflow you would refuse to automate, even if an AI could do it better?