Categories
Authors

Tracy Kidder and the Human Code

Tracy Kidder died yesterday, March 24th, of lung cancer. He was 80.

I’ve been sitting with that quiet, heavy fact for a few hours now, staring at the screen, thinking about what his work meant to me—and specifically, about the enduring legacy of The Soul of a New Machine.

On its surface, the book is a chronicle of a team of engineers and coders at Data General Corporation, racing against the clock in the early 1980s to build a 32-bit minicomputer. If you haven’t read it, that description likely sounds like the synopsis for a dry technical manual. It is, gloriously, anything but.

What Kidder did—what hit me with such force when I first turned those pages—was capture the raw, unvarnished pulse of human obsession. He didn’t just document the architecture of a machine; he mapped the architecture of the minds building it. He translated the late-night pizza runs, the bloodshot eyes, the tribal hierarchies of the engineering floor, and the strange, almost religious fervor that overtakes people when they are creating something they profoundly believe in.

He called it:

“An adventure story, a kind of cultural anthropology.”

That is exactly right.

He ventured into a world most journalists would have fumbled or fundamentally misunderstood.

The early computer industry was hyper-technical, fiercely insular, full of impenetrable jargon, and populated by brilliant minds who regarded outsiders with a polite, if dismissive, suspicion.

But Kidder didn’t blink. He embedded himself. His deep reporting and novelistic prose illuminated the basement labs of tech just as deftly as he later illuminated home construction and global disease prevention. He held a fundamental trust that the human drama playing out inside the sterile machine room was worth finding. And he found it.

Reading Soul as someone who has spent years orbiting technology, I continually find myself marveling at a different kind of engineering: how does a writer actually do this? How do you make the arcane feel intimate?

As one reviewer aptly noted at the time, “Kidder makes the telling seem absolutely effortless.” Which is, of course, the ultimate tell. Effortless prose is always the product of staggering effort.

A friend once said of his process:

“Tracy throws up on the page and cleans up afterward. He was absolutely indefatigable in the writing.”

That immense labor shows—not as the sweat of a struggling author, but as the pure clarity of a master.

What the book quietly teaches, if you’re paying attention, is a profound lesson about the nature of craft itself.

Those Data General engineers weren’t just building a minicomputer. They were building an identity, a tribe, a shared sense of purpose. They were transferring a piece of themselves into the silicon and wire. Kidder understood this alchemy. He highlighted people who had mastered their realms, elevating them into characters whose struggles rang true because they were anchored by staggering amounts of research. He believed—and subsequently proved to the world—that ordinary people doing terribly difficult things in obscure rooms were worthy of the full weight of literary attention.

That was his extraordinary gift. And it is far rarer than it sounds.

The honors and brisk sales from the book vaulted Kidder into the top ranks of American nonfiction writers. But his true legacy lives in the narrative talents he inspired. I suspect a vast number of people who went on to write serious, empathetic nonfiction about technology read Soul at some formative moment and thought: This is how it should be done. I know I was one of them.

He will be deeply missed. But the book remains, waiting on the shelf. If you haven’t read it, today feels like exactly the right day to start.

Categories
AI Web/Tech

Why the AI PC is the New 3D TV

A close-up of a laptop showing an 'AI READY' sticker on its surface, alongside a pair of glasses, a coffee mug, and a notepad on a wooden desk.

I was reading the coverage coming out of CES 2026 this week, and the silence was deafening. Just a year ago, the industry was shouting about the “AI PC” as the inevitable successor to the computing throne. Every laptop lid, keyboard deck, and press release was plastered with the promise of Neural Processing Units (NPUs) and local intelligence.

But looking at the tepid market reaction—and Dell explicitly dialing back the “AI sermon” this year—I can’t help but feel a sense of déjà vu. It reminds me of the “3D Ready” stickers that adorned every television set circa 2011.

There is a distinct pattern in consumer technology where the hardware cart gets placed miles ahead of the software horse. We saw it with 3D televisions, a technology that demanded we wear goofy glasses to watch a limited library of content, offering a friction-heavy solution to a problem nobody really had. We saw it, more tragically, with Apple’s Vision Pro. Despite being a marvel of engineering, it stalled because it asked too much of us (financial and physical weight) for too little return in our daily lives.

The “AI PC” seems to be falling into a similar, albeit subtler, trap.

The issue isn’t that AI is a fad—far from it. Agentic AI and local models are transforming how we work. The issue is the marketing category. Consumers are realizing that an “AI PC” is just… a PC. The magic of AI isn’t in the hardware badge or a dedicated Copilot key; it’s in the software that runs anywhere. We are realizing that we don’t buy “Internet PCs” anymore, we just buy computers. The utility is ubiquitous, not proprietary to a specific chassis.

When technology truly succeeds, it disappears. It becomes boring. The “flop” of the AI PC isn’t a failure of technology, but a failure of hype. It is the market collectively shrugging and saying, “Show me the value, not the specs.” Until the software experiences are so undeniable that we can’t live without that local NPU, the “AI PC” will remain a marketing sticker, destined to peel off and fade away, much like 3D glasses or Vision Pros gathering dust for those few who bought them.