Categories
History Living Telephones

The Coiled Tether

Do you remember the physical weight of a conversation? It lived in the coiled, plastic spring of a landline telephone cord. We would stretch it across the kitchen, pacing over linoleum floors, the coil twisting around our fingers as we talked into the evening.

That cord was a literal tether. It confined us to a specific radius, but in doing so, it anchored us to the present moment. When you were on the phone, you were nowhere else. You were anchored to the wall, and by extension, to the person on the other end of the line.

There was also the sheer tactile satisfaction of the device itself—the heavy, contoured plastic of the receiver that fit perfectly between shoulder and ear, and the definitive, emphatic slam of hanging up on someone, a punctuation mark that the gentle tap of a touchscreen will never quite replicate.

Then came the subtle, sharp click on the line. Call waiting.

“We traded deep, uninterrupted connection for the anxiety of possibility.”

It was our first taste of modern conversational fragmentation.

Before call waiting, a busy signal was a polite “do not disturb” sign hung on the door of an ongoing dialogue. It meant you were occupied, engaged, entirely spoken for.

The click changed everything. It introduced a sudden, silent geometry to our relationships. When that secondary tone sounded, you were forced into a split-second hierarchy: do I stay with the person I am talking to, or do I chase the mystery of the unknown caller? The phrase, “Can you hold for a second?” became a small, culturally accepted betrayal of the present moment.

We traded deep, uninterrupted connection for the anxiety of possibility.

Eventually, the mystery of the ringing phone was solved altogether by a small, rectangular box with a glowing LCD screen: Caller ID.

For decades, a ringing phone was an invitation to a blind date. You picked up the receiver with a mix of anticipation and vulnerability. It could be a best friend, a wrong number, a telemarketer, or the person you’d been hoping would call all week. You answered with a universal greeting—a neutral, expectant “Hello?”—because you had no idea who was stepping into your home through the wire.

Caller ID gave us the power of the gatekeeper. It allowed us to screen, to prepare, to decide if we had the emotional bandwidth for the name flashing in digital text. We gained control, but we lost serendipity. We lost the unfiltered, genuine surprise of hearing a familiar voice when we least expected it. We stopped opening the door blindly and started looking through the peephole.

Today, we are entirely untethered. There are no coiled cords tying us to the kitchen wall. We carry our communication in our pockets, capable of ignoring texts, sending calls to voicemail, and managing our availability with unprecedented precision. Yet, for all this freedom and control, it often feels as though we are more disconnected than ever.

The good old days weren’t necessarily better because the technology was superior; they were beautiful because the limitations of the technology forced us to be human. The cord forced us to stay put. The lack of caller ID forced us to be open. The absence of call waiting forced us to finish the conversation we started.

Sometimes, looking back, I miss the simple, undeniable commitment of answering a ringing phone, twisting the cord around my index finger, and just listening.

Categories
AI AI: Large Language Models Programming

The Era of the Synthesizer: How AI Is Liberating the Coder

For decades, being a programmer meant being a translator.

You stood in the gap between what someone wanted and what a machine could understand. You learned the syntax. You memorized the libraries. You once spent three hours hunting a missing semicolon that turned out to be hiding in line 847 of a file you were sure you’d already checked.

The New York Times Magazine recently ran a piece by Clive Thompson on what AI coding assistants — models like Claude and ChatGPT — are doing to that job. The anxiety in the piece is real. When you sit down with a modern AI assistant and watch it generate in seconds what used to take you days, it’s genuinely disorienting. Hard-won expertise suddenly feels less like a moat and more like a speed bump.

That reaction is honest. I’d be suspicious of anyone who didn’t feel it.

But here’s what I keep coming back to: what we’re losing is the translation layer. The boilerplate. The muscle memory of syntax. What we’re not losing is the part that was always the actual job — figuring out what to build and why it matters.

The soul of software was never in the code itself. The code was always just a means to an end.

Think about what happens when the mechanical friction of a craft disappears. Photographers stopped having to mix their own chemicals in the dark and started spending that time making better images. Musicians stopped having to hand-copy scores and started composing more. The freed-up capacity doesn’t evaporate — it gets redirected upward, toward the work that actually required a human all along.

The same shift is underway in software. When the AI handles the loops and the boilerplate and the database queries, what’s left is everything that required judgment in the first place. The architecture. The user experience. The question of whether this thing should exist at all, and in what form, and for whom.

We’re moving from the how to the why. That’s not a demotion.

It does ask something of us, though. The old identity — programmer as master of arcane syntax — has to be relinquished. And letting go of a hard-earned identity is genuinely hard, even when what’s replacing it is better. That quiet grief the Times piece captures is worth sitting with, not dismissing.

But after you sit with it for a minute: we are entering the era of the synthesizer.

The synthesizer’s job is to hold the vision, curate the logic, and direct the output toward something that actually resonates with another human being. Empathy. Intuition. The ability to sense when something is almost right and know which direction to push it. These aren’t soft skills. They’re the whole game now.

The clatter of keyboards is fading. But the music we’re about to make — with AI doing the heavy lifting on the mechanics — has a lot more room to breathe.

Categories
AI Creativity Programming Writing

We Are All Painters Now: The Era of Vibe Coding

For decades, the act of creating software was exactly that: writing. It was a distinctly left-brained, agonizingly precise discipline.

Programmers were typists of logic, translating human intent into a rigid, unforgiving syntax that a machine could understand. A single misplaced semicolon, an unclosed bracket, or a misspelled variable could bring an entire system crashing down.

Building software meant placing one brick after another, working meticulously from the ground up.

In this traditional paradigm, coders were the ultimate embodiment of Annie Dillard’s writer. As she noted in The Writing Life, “Writers… work from left to right. The discardable chapters are on the left.”

When you wrote code, your mistakes, your refactoring, and your discarded logic were all part of a linear, grueling journey. If a feature didn’t work, you had to physically wade back into the text, debugging, reading line by line, and rewriting the narrative of the application. The discarded chapters were the endless hours spent wrestling with a single broken dependency.

But recently, a profound paradigm shift has quietly taken over our screens. We are transitioning out of the era of writing software and into the era of “vibe coding.”

Vibe coding fundamentally changes our relationship with the machine. With the rise of advanced AI coding assistants, we are no longer placing the bricks ourselves; we have become the architects and the creative directors. You don’t write the loop or manually construct the database query. Instead, you describe the feeling, the function, and the outcome. You tell the AI, “Make this dashboard feel more modern,” or “The logic here is too clunky, make it flow faster and handle edge cases gracefully.” You are coding by intuition. You are steering by the “vibe” of the output rather than the mechanics of the input.

Suddenly, Dillard’s other metaphor takes center stage. In the age of vibe coding, we have become painters.

“A painting covers its tracks. Painters work from the ground up. The latest version of a painting overlays earlier versions, and obliterates them.”

When we vibe code, we ask an AI for a functional prototype, and it gives us a canvas. We look at it, test it, and sense whether it aligns with our vision. If it doesn’t quite hit the mark, we don’t necessarily rewrite the code from scratch. We simply prompt the AI to try again, adding a new layer of instruction. The AI paints a new layer of code directly over the old one. The awkward, underlying iterations—the messy attempts at styling, the inefficient logic of the first draft—are obliterated by the newest prompt.

The machine covers our tracks for us. We don’t need to know exactly how the underlying pixels were rearranged or how the syntax was refactored. The final application emerges as a stunning obliteration of its own clumsy past.

As someone who has spent time wrestling with the rigid demands of syntax, there is a strange, quiet grief in letting go of that left-to-right process. There is a deeply earned, tactile satisfaction in building something manually, understanding the precise weight and placement of every line of code. Relinquishing that control can feel like a loss of craftsmanship.

Yet, there is also a breathtaking liberation in this new medium. We are moving from a world of manual construction to a world of artistic curation. The barrier to entry is no longer fluency in a specific, arcane language; it is simply the clarity of your imagination and your ability to articulate your intent.

The next time you sit down to build something digital, notice the shift in your own posture. You no longer have to carry the heavy burden of the writer, agonizing over every word and leaving your discardable chapters on the left. You can step back, look at the whole canvas, and trust your intuition. Let the AI cover the tracks. Embrace the obliteration of the early drafts.

We are all painters now, coaxing the future into existence one brushstroke at a time.

Categories
Living

The Geometry of Chaos

“Just for a minute, imagine you’re standing on that aircraft carrier flight deck,” said Caine. “There’s 30 knots of wind in your face. The deck is slippery, covered in grease. It’s noisy. There are propellers spinning. There’s jet blast everywhere. The helicopters are running. Your head is on a swivel and you’re trying to direct a multi-million dollar fighter into a one-foot square box so that those naval aviators can be shot off into the black of night to go do America’s work.”

The world often views precision as a quiet endeavor. We picture the watchmaker in a silent room or the coder in a hushed office, finding clarity through the absence of noise. But General Caine’s description of a carrier deck flips this script. It suggests that the highest form of human precision doesn’t happen in spite of the chaos—it happens within it.

To stand on that deck is to exist in a state of sensory assault. You have the “thirty knots of wind,” the “grease,” the “spinning propellers,” and the “jet blast.” It is an environment designed to overwhelm the nervous system.

Yet, in the center of this metallic purgatory, there is a person—head on a swivel—tasked with moving a multi-million dollar machine into a “one-foot square box.”

There is a profound metaphor here for the modern life. We often wait for the “wind” to die down before we attempt our most important work. We tell ourselves we will start the project, have the difficult conversation, or find our focus once the “noise” of life subsides. But the “black of night” doesn’t wait for the deck to be dry. America’s work—or rather, the soul’s work—is often requested exactly when the deck is most slippery.

The beauty of the flight deck officer is not just their technical skill, but their ability to maintain an internal stillness while the external world is screaming. It is the realization that the “one-foot square” is the only thing that matters, even when the rest of the world is a blur of grease and jet fuel.

We are all, at various points, standing on that deck, trying to guide something precious into position so it can take flight.

The chaos isn’t an obstacle to the mission; it is the environment in which the mission earns its meaning.

Categories
AI AI: Large Language Models AI: Prompting

Using a Developmental Editor

I recently came across an X post by @heyrimsha where she shared several AI prompts that looked quite interesting.

One of them in particular was based on the notion of having a “developmental editor” from a major publication (like the Harvard Business Review etc.) reviewing content and suggesting ways to make the content “better”.

Obviously “better” is in the eye of the beholder but I wanted to give it a try. Here are my results using Gemini 3 Fast on my post from yesterday about John F. Burns.

The prompt:

I'm going to give you a draft of one of my blog posts below. You are to act as a world-class developmental editor for a major publication (like _The Atlantic_ or _Harvard Business Review_). 

Read my draft and identify:

1. **The 'So What?' Factor:** Where is the argument too generic or 'safe'?

2. **Borrowed Authority:** Where am I using quotes as a crutch instead of developing my own original ideas?

 3. **The Narrative Thread:** Is my personal history a list of facts, or a cohesive story?
 
After the critique, provide a 'Masterwork Rewrite' that heightens the stakes, removes the fluff, and gives the piece a unique, proprietary framework (like 'The Seasonal Soul')."

Here's the post: [POST]

Here’s Gemini’s response which includes a suggested rewrite at the end:

This is a poignant tribute to a journalistic titan. You’ve captured the “vibe” of John F. Burns perfectly—the Burberry raincoat, the smell of cordite, and the steady hand at the keyboard.

However, as an editor for The Atlantic or HBR, my job is to push you past “tribute” and into “thesis.” Currently, this reads like a very well-written appreciation. To make it a major publication piece, we need to turn your reflection on Burns into a diagnostic of our current cultural moment.

1. The ‘So What?’ Factor: The Risk of Nostalgia

The Critique: Your argument is currently: “John Burns was a great reporter from a better era, and I miss that.” This is a “safe” sentiment. Most readers over 40 agree that the “pre-internet era” had more gravitas. The Fix: You need to answer why this matters now, beyond just missing a legendary writer. The “So What” isn’t that Burns is gone; it’s that the “Institutional Anchor” he provided—the ability to remain “straight” while the world tilts—is a lost technology we are now desperate to reinvent.

2. Borrowed Authority: The Quote as a Shield

The Critique: You use Burns’ quotes (the “gold standard,” “missionary complex,” “sweep of history”) to do the heavy lifting. You are describing his excellence using his own definitions. The Fix: Don’t just quote his “gold standard.” Define what that standard looks like in the wild. Instead of saying he avoided the “missionary complex,” analyze whythat complex is the dominant toxin in modern discourse. Use your own voice to categorize his genius.

3. The Narrative Thread: The “Passive Reader” Problem

The Critique: Your personal history here is a bit “list-like”: I read the obits, I remember his retirement, I read this specific obit today. It positions you as a passive consumer of his work. The Fix: Link your personal evolution to his reporting. Did his dispatch from Sarajevo change how you viewed a specific conflict? Did his “considered writing” influence how you built your own “civilized center” (to use your phrase about his wife, Jane)? Turn the “list of memories” into a “narrative of influence.”

Masterwork Rewrite: The Architecture of the Straight Line

The Framework: “The Architecture of the Straight Line” This framework posits that in a world of ideological “curves” and “slants,” the hardest thing to build is a straight line of fact. It moves the focus from the man to the method.

The Draft:

We are currently living through a Great Slant. In our rush to be “right”—morally, politically, or algorithmically—we have abandoned the rarest craft in the human repertoire: the ability to keep the paper straight.

I spent my morning submerged in the obituary of John F. Burns, the longtime New York Times foreign correspondent. To many, Burns was the last of the “firemen,” a man who appeared in the world’s most fractured zip codes wearing a Burberry raincoat and a look of studied detachment. But as I traced the arc of his career—from the sniper alleys of Sarajevo to the blast-walled compounds of Baghdad—I realized I wasn’t just mourning a reporter. I was mourning a specific type of sanity.

Burns practiced what I call The Architecture of the Straight Line. In today’s media, we suffer from the “Missionary Complex”—a term Burns himself used to describe the urge to save the world rather than see it. Modern reporting is often a performance of empathy or an exercise in tribal signaling. We no longer want the “telling detail”; we want the detail that tells our side of the story.

Burns was different. He understood that the only way to survive the “chaos of war” was to build a “civilized center.” We see this literally in his partnership with his wife, Jane Scott-Long, who turned a derelict house in Baghdad into a fortress of state-of-the-art coffee and blast walls. But Burns did this intellectually, too. While the world was screaming in ideological shorthand, he was looking for the “sweep of centuries” in the reburial of a King or the notes of a lone cellist.

This is the “So What” of his passing: We have traded Considered Writing for Instant Reaction.

In the pre-internet era Burns inhabited, the time-zone differential acted as a natural filter—a mandatory pause that allowed the “blue pencil” of the editor to catch the slant before it hit the page. Today, that filter is gone. We are drowning in the “instant, unvetted roar.” We have plenty of missionaries, but very few architects.

Reading Burns taught me that keeping the paper straight isn’t a passive act of “objectivity.” It is a violent, daily struggle against one’s own biases. It is the refusal to let the heat of the moment melt the integrity of the record.

As the obituary section grows more familiar to me, I find myself looking for more than just a list of achievements. I am looking for a compass. John Burns kept his bearings not because he ignored the fire, but because he was the only one in the room who understood that you cannot describe the flames if you are busy trying to stoke them.

The “Straight Line” is a lost art. It’s time we started rebuilding it.

Categories
News Writing

A Tribute to John F. Burns

“The commitment to fairness and balance and to shunning conventional truths when our reporting leads us in unexpected directions has been our gold standard.” — John F. Burns

As I’ve gotten older I pay closer attention to the obituary section of the New York Times. It frequently teaches me and brings back unusual memories that surprise me. Today it was my memory of years of reading the writings of John Burns brought back to life as I read his obituary.

Burns retired over ten years ago. I now remember thinking at the time just what a loss that would be for the paper. Reading Alan Cowell’s obituary of John F. Burns this morning, I felt that absence acutely.

For years, Burns was my first read—a “fireman” of the foreign desk who didn’t just report on the heat; he translated the embers.

Burns belonged to an era of journalism that felt more like a literary calling than a content cycle. He was a man who could find the “sweep of history” in the “telling detail of the present.”

Who else would think to frame the harrowing siege of Sarajevo through the haunting notes of a cellist playing Albinoni’s Adagio amidst the rubble? He understood that to explain a war, you must first explain the soul of the city being broken by it.

His career was a map of the 20th and 21st centuries’ most jagged edges—from the “wasteland of blasted mosques” in Bosnia to the “harrowing regime” of the Taliban in 1990s Afghanistan.

Yet, for all his Pulitzers and his debonair appearances in a Burberry raincoat on Red Square, there was a refreshing, stubborn humility to his craft.

He famously tilted against the “missionary complex” of modern reporting. He didn’t want to save the world; he wanted to see it—clearly, fairly, and without the blinding influence of ideology.

There is something deeply moving about his partnership with his wife, Jane Scott-Long which wasn’t familiar to me. While John was the “full force of talent” at the keyboard, Jane was the architect of safety, turning run-down Baghdad houses into fortified sanctuaries with “military-style blast walls” and, perhaps most essentially, a state-of-the-art coffee machine. They were a team that survived the “chaos of war” by creating a small, civilized center within it.

In his later years after she passed, Burns became more reclusive, a quiet departure for a man once known as a “raconteur with panache.” It’s a transition that mirrors the profession itself. He flourished in a pre-internet era, where time-zone differentials allowed for “considered writing.” Today, the “blue pencil” of the editor has been replaced by the instant, unvetted roar of the social feed.

His final story for the Times was about the reburial of King Richard III. It was a fitting end: a story about the “sweep of the centuries” propelling the news of the day.

As I reflect back on his work and my years of reading it, I realize that what I miss isn’t just the news he delivered. I miss the way he delivered it—with the patience of a historian and the heart of a poet. He kept the paper straight, and in doing so, he helped us keep our bearings in a world that so often feels lost. Especially today.

Categories
Creativity Writing

The Crucible of the Blank Page

There is a distinct, often uncomfortable silence that accompanies a blank page. It’s not a lack of noise, but rather an overwhelming cacophony of unformed ideas waiting to be given shape.

We often operate under the assumption that we must have our thoughts perfectly ordered before we sit down to express them. We believe writing is merely the act of transcribing a fully formed philosophy from mind to paper.

But the truth is far messier, and infinitely more profound.

Flannery O’Connor captured this beautifully when she admitted:

“I write because I don’t know what I think until I read what I say.”

I find myself returning to this admission constantly, deeply resonating with the reality of it. I’m the same way.

The human mind is a brilliant but chaotic place, a swirling ether of impressions, emotions, half-remembered conversations, and half-baked theories. Left to its own devices, it rarely settles on a singular, coherent truth. It requires the friction of articulation—the physical, deliberate act of putting words into a sequence—to force those nebulous clouds into something solid.

In an era increasingly defined by the allure of frictionless output, there is a profound temptation to skip this wrestling match.

We are surrounded by tools and shortcuts designed to hand us the finished essay, the polished insight, the perfectly packaged takeaway without us having to endure the messy, chaotic energy of the drafting process. It is easy to look at the blank page as a hurdle to be cleared rather than a necessary landscape to be traversed. But bypassing that struggle is a critical mistake.

You cannot skip the work of wrestling with ideas. That struggle is not a barrier to good writing; it is the core chaotic energy that underpins it. It is the crucible where conviction is forged.

When you wrestle with a sentence, striking it out, rewriting it, abandoning it entirely for a new thought, you are not just editing text on a screen. You are editing your own mind. You are testing the structural integrity of your beliefs.

The chaotic energy of a rough draft—the fragmented sentences, the sudden leaps of logic, the tangents that seem to lead nowhere—is evidence of a mind actively searching for meaning.

It is through this very friction that we discover what we actually believe.

An idea might feel profound when it is floating weightlessly in your head, but the moment you try to pin it down with language, its flaws and hollow points become glaringly obvious. Writing forces a confrontation with our own intellectual blind spots.

If we outsource this process, or if we try to circumvent the chaos by relying on templates or taking the path of least cognitive resistance, we lose the very mechanism by which we come to know ourselves. We might successfully produce text, but we will not produce insight.

The value of writing isn’t just in the final product meant for a reader’s eyes; it is in the transformation that occurs within the writer.

To write is to step into the unknown spaces of your own intellect. It is an act of revelation as much as communication.

So, the next time you find yourself staring at a blank page, feeling the chaotic energy of unformed thoughts, don’t retreat.

Lean into the mess. Let the words spill out, rough and unpolished, and trust that in the wreckage of your early drafts, you will finally read what you say, and in doing so, discover exactly what you think.

Categories
AI

Beyond the Summary: Using AI to Find the “Friction” in Your Thinking

We’ve reached the “Summary Plateau.”

You see it everywhere. Every browser extension, every note-taking app, and every enterprise LLM now offers a “Summarize” button. It’s the ultimate promise of the efficiency era: Give us the 2,000-word essay, and we’ll give you the three bullet points. But there’s a hidden tax on this kind of efficiency. When we ask an AI to summarize, we are asking it to smooth out the edges. We are asking it to remove the “noise.” The problem is, in the world of ideas, the noise is often where the signal lives. The friction—the parts of an argument that make us uncomfortable or that we don’t quite understand—is where the actual learning happens.

If we only consume the summaries, we aren’t thinking; we’re just acknowledging.

The Mirror, Not the Maker

I’ve been experimenting with a different approach. Instead of asking the model to make the content shorter, I’ve been asking it to make my engagement with the content harder.

I don’t want a “Maker” to write my thoughts for me. I want a “Mirror” to show me where my thoughts are thin.

When I’m wrestling with a complex piece—perhaps a deep dive on the future of venture capital or a philosophical treatise on Arete—I’ve stopped clicking “summarize.” Instead, I feed the text into the LLM and use these “Friction Prompts” to find the sand in the gears:

The Essential Toolkit

  • The “Steel Man” Challenge: “I am inclined to agree with this author’s conclusion. Find the three strongest counter-arguments that this text ignores, and explain why a reasonable person would hold them.”
  • The “Recursive Logic” Audit: “Identify the three most critical ‘logical leaps’ the author makes—points where a conclusion is reached without sufficient evidence. If those leaps are wrong, how does the entire argument collapse?”
  • The “Blind Spot” Audit: “What are the underlying cultural or economic assumptions this author is making that they haven’t explicitly stated?”
  • The “Cross-Pollination” Filter: “Connect the central thesis of this article to a seemingly unrelated field (e.g., Stoic philosophy or biological ecosystems). How does the logic of this text hold up—or fail—when applied to that different domain?”
  • The “Analog Translation” Test: “If I had to explain the core mechanism of this abstract concept using only physical, analog metaphors (like plumbing or woodworking), how would I do it? Where does the metaphor break down?”
  • The “Socratic Sharpening”: “Don’t summarize this. Instead, ask me three probing questions that force me to apply the core logic of this essay to a completely different industry.”

Sharpening the Blade

Summary is about completion (getting it done). Friction is about cognition (getting it right).

When the AI points out a blind spot in an article I loved, it creates a moment of cognitive dissonance. That “click” of discomfort is the sound of a mental model being updated. It’s the digital equivalent of using a whetstone on a blade—you need the friction to get the edge.

As we move further into this age of “Flash-Frozen Cognition,” the temptation to automate our understanding will only grow. But discernment—that uniquely human trait we’ve discussed here before—cannot be outsourced to a bulleted list.

The next time you’re faced with a daunting PDF or a dense long-read, resist the “Summarize” button. Ask the machine to challenge you instead. You might find that the most valuable thing the AI can give you isn’t an answer, but a better version of your own question.

A Deep Dive (Further Reading from the Archive)

If you resonated with this piece on cultivating discernment, you might find these earlier synthesis experiments worth a revisit:

  • On Flash-Frozen Cognition: A foundational post discussing how LLMs are freezing the current consensus, and how we must resist it.
  • The Harvest and the Algorithm: Comparing 1920s ice harvesting to 2020s cognition—the critical shift from scarcity to abundance.
  • The Arete of Attention: A look at the Stoic concept of virtue as the intentional direction of our most scarce resource: focus.
  • Longhand Thinking: Why the physical act of writing is the ultimate antidote to digital velocity.
Categories
AI Programming Work

The Currency of Restlessness

There is a specific kind of vertigo that comes from watching a machine effortlessly perform your life’s work. For Aditya Agarwal, an early Facebook engineer and former CTO of Dropbox, that vertigo hit after a weekend of coding with an AI assistant. His realization was absolute: we will never write code by hand again.

When the specialized skills we have spent decades mastering become free and abundant, the foundation of our professional identity inevitably trembles. Agarwal captures the duality of this moment perfectly, describing it as a mixture of “wonder with a profound sadness.”

“There’s something deeply disorienting about watching the pillars of your professional identity, what you built and how you built it, get reproduced in a weekend by a tool that doesn’t need to eat or sleep.”

The conversation around AI tends to flatten this emotional reality into two distinct camps: the doomers who foresee total replacement, and the boosters who promise a frictionless utopia.

But lived experience is messier. We are capable of holding grief and wonder in the same hand.

We can mourn the craftsmen we were, even as we sprint toward the architects we are about to become.

Because here is the secret about the disorientation of progress: it passes.

Once the initial shock fades, what replaces it is a wild, unconstrained energy.

When the mechanical friction of creation vanishes—when a week’s worth of coding can be accomplished in an afternoon—the scope of our ambition expands. We are no longer limited by the keystrokes we can manage in a day, but by the edges of our imagination. We aren’t watching ourselves become obsolete; we are watching our lifelong constraints dissolve.

This shift is rewriting the social contract of knowledge work, starting with how we evaluate human potential. For decades, the corporate world has relied on a calcified heuristic for hiring: brand-name universities, FAANG experience, and years of tenure. We worshipped the resume.

Now, that playbook is breaking down. In evaluating engineers and founders navigating this transition, Agarwal notes that traditional pedigrees predict almost nothing about a person’s ability to thrive. The new dividing line isn’t generational, and it certainly isn’t educational. It is entirely dispositional.

“The trait that matters most isn’t intelligence, or credentials or years of experience. It’s someone’s relationship with change—not whether they’ve seen change before, but whether they run toward it.”

The new currency of the working world is restlessness.

Restlessness is the refusal to settle into the comfort of the way things used to be. It is the constitution of a builder who cannot stop tinkering, who treats every new AI tool as a puzzle to be solved before the day is out. In an economy where the “how” of knowledge work is increasingly automated, the premium shifts entirely to adaptability, curiosity, and vision.

This democratization of capability forces a deeply uncomfortable, deeply human reckoning. We have to let go of the identities we forged under old paradigms to become whatever comes next.

The technology didn’t create this human challenge—it merely made it impossible to ignore.

Categories
Apple

The MacBook Neo

Reading the overwhelmingly positive reviews of the new MacBook Neo I am reminded of this from the recent book Apple in China:

“Engineers said the pressure to put in the long hours was all but mandatory. Indeed, a decade later after Jobs created Apple University, a corporate institution meant to convey his values to a new generation of employees, Apple came close to codifying the principle that pushing employees to burnout was acceptable.

In a slide deck called Leadership Palette, Apple states: “Fighting for excellence is about resisting the gravitational pull of mediocrity. It involves being dead tired and still pushing yourself, and others, to get it right, every time.”” (Patrick McGee, Apple in China)