Tag: engineering

Categories
Aircraft Aviation

Sutter’s Balloon

At Pinal Airpark, in the desert north of Tucson, the airplanes sit in rows the way old men sit in rows at a clinic, waiting for something that isn’t coming. A great many of them are 747s, parked here because the engines are worth more than the rest of the airframe and somebody, someday, may want the engines. Somewhere among the rows is one that’s shorter than its neighbors by nearly fifty feet, the line of its fuselage interrupted just behind the wing as though a piece had been folded in and stitched shut. This is a 747SP, and there were only forty-five of them ever built, because the airplane was, from the moment it was conceived, a compromise built to solve one problem and no other.

The problem belonged to Pan American World Airways. In the early seventies Pan Am wanted to fly nonstop from New York to Tehran, a route that did not then exist because no airliner Pan Am owned could cover the distance with a full load of passengers and still land with fuel in the tanks. Iran Air had the identical problem in reverse. Boeing had, at the time, the 747-100, an airplane that could carry nearly everybody in the world somewhere, but not necessarily that far. McDonnell Douglas and Lockheed had the DC-10 and the L-1011, three-engine widebodies built expressly for the medium-haul market the 747 was too big to serve efficiently, and Boeing, watching two competitors carve into territory it had assumed it owned outright, needed an answer that did not require designing a new airplane from the keel up. There was no time and, after the financial near-catastrophe of developing the original 747, no appetite for one.

The man who supplied the answer was Joe Sutter, the engineer who had led the 747 program from the start and who brought to it an instinct for solving problems by subtraction. Sutter’s idea was not to add a third engine, which several engineers in the room had assumed was the path, since removing one engine entirely was reckoned to save a third of the fuel burn and nearly seven tons of weight in one move. Sutter’s idea was to leave the engines alone and shorten the airplane instead. Take fuselage out fore and aft of the wing, forty-eight feet four inches of it, lighten the structure to match, simplify the flaps from the standard triple-slotted design to a single-slotted one, lengthen the tail surfaces to keep the shorter airplane stable, and let the weight savings buy range instead of payload. Boeing’s engineers called the result, informally and a little affectionately, Sutter’s Balloon. The company filed it as the 747SB, for Short Body, before settling on a name that did the marketing for itself: 747SP, for Special Performance.

The first one, manufacturer’s serial number 21022, rolled out of the Everett plant on May 19, 1975, and flew on July 4th, ten days ahead of a schedule that was already tight. Jack Waddell, who had flown the maiden flight of the original 747 six years earlier, was in the left seat again, and on that first flight he put the shortened airplane through a stall and a run up to Mach 0.92, a speed that had no business being associated with anything called a jumbo jet. In November, Boeing flew the fourth airframe nonstop from New York to Tokyo, 6,927 miles, with two hundred passengers aboard, and landed in Seattle’s backyard with more than thirty thousand pounds of fuel still in the wings, a fact Boeing’s marketing department repeated for years the way a man repeats the one good thing a difficult relative once said about him. The FAA signed off in February of 1976. Pan Am took delivery of the first production airplane, named Clipper Freedom, on March 5th, and put it into revenue service in April.

What the SP was for, it did well. A South African Airways SP flew nonstop from the Boeing plant in Seattle to Cape Town on its delivery flight in 1976, a record for an unrefueled commercial airplane that stood for more than a decade. Pan Am flew SPs around the world in well-publicized record attempts, and for thirteen years, until the 747-400 arrived in 1989, the SP held the title of longest-range airliner in the world. It is a title that means something only to the small number of people who keep track of such titles. Boeing had once projected sales in the neighborhood of two hundred. Fuel prices rose through the back half of the seventies and into the eighties, and the SP, despite its range, cost more to fly per seat than the standard 747 it had been built to outdo on a narrower set of routes. Twin-engine widebodies were coming that would solve the same range problem with half the engines to maintain. Production ran from 1976 to 1982, paused, and then opened once more in 1987 for a single VIP-configured order from the Abu Dhabi Amiri Flight, after which Boeing closed the line for good. Forty-five airplanes, full stop.

A handful of them found second careers that outlasted anything the airline business had planned for them. One, a former Pan Am airframe, was hollowed out by NASA and the German Aerospace Center and fitted with a hatch that opened in flight to expose a reflecting telescope two and a half meters across, an arrangement that let astronomers fly above most of the water vapor in the atmosphere and look at the sky the way the ground never quite allows. It flew as the Stratospheric Observatory for Infrared Astronomy until 2022. As of this year, the airplanes still capable of flight number three: two belong to Pratt & Whitney Canada, which uses them as flying engine test beds, bolting experimental turbines onto a wing built half a century ago to prove an idea about subtraction; the third belongs to a casino company in Las Vegas, configured for fifty passengers, which is roughly the inverse of what Joe Sutter had in mind. The rest are scattered in places like Pinal Airpark, sitting in rows, shorter than their neighbors, waiting on engines somebody might still want.

Categories
Aircraft Bicycles Dayton Ohio History

The Ordinary

Part 1 of 3…

The man sitting atop a penny-farthing in the summer of 1879 is five feet off the ground. He weighs maybe one hundred and fifty pounds. The wheel beneath him is fifty-four inches across — taller than most of the children who stop to watch him pass. He got up there by running alongside the machine, hooking a foot on a small peg above the rear wheel, and vaulting himself upward in a single practiced motion. He will dismount the same way: a controlled fall forward, a hop, gravity made manageable by repetition. He has done this so many times that he no longer thinks about it. He thinks about the road ahead.

He is not a daredevil. He is a commuter.

The people on the sidewalk call his machine a penny-farthing, which is a joke dressed up as a name. A penny was the largest British coin; a farthing the smallest, worth one quarter of a penny. Seen from the street, the big front wheel and its tiny rear companion looked exactly like the two coins set side by side. Some wit had noticed, and the name stuck. The riders themselves refused it. They called their machine the ordinary — because to them, it was exactly that, the standard form, the rational machine, the obvious answer. They said ordinary with complete seriousness while everyone else was calling it loose change.

This tells you something about the people who rode it. And about the machine they thought they were riding.

The penny-farthing was not a circus prop. It was the highest expression of an engineering logic that had no other options. The pedals connected directly to the front axle. One rotation of the legs meant one rotation of the wheel. If you wanted to go faster, you needed a bigger wheel. It was that simple. It was that brutal. The geometry of human ambition ran directly through the circumference of that front wheel, and the front wheel kept getting bigger, and the riders kept climbing higher, until the whole enterprise teetered at the edge of what a human being could reasonably mount and survive.

The high-wheeler was not a mistake. It was the answer to a question no one yet knew how to ask differently.

The machines were built in Coventry, England, by craftsmen who bent and brazed steel frames by hand, fitted wire spokes under tension — a Starley innovation that made the wheel lighter than anyone expected — and pressed solid rubber tires onto rims by feel and experience. James Starley had essentially invented the industry in 1871, and Coventry became its Detroit: a concentration of metalworking skill that fed on itself, that knew things in its hands it couldn’t fully explain on paper.

Then, in the mid-1880s, someone put a chain on it.

The chain-and-sprocket drive seems obvious now, the way all elegant solutions seem obvious after the fact. Decouple the pedals from the wheel. Run a chain from a sprocket near the rider’s feet to a smaller sprocket at the rear axle. Suddenly the wheel didn’t have to be enormous — the gearing could do what only size had done before. The front wheel came down. The rear wheel came up to match it. The rider dropped five feet closer to the earth. The machine that emerged from this rearrangement was called, without any particular irony, the safety bicycle. It was safe. It was fast. It was something a woman in a skirt could ride, something a child could learn on, something that didn’t require a running vault to mount.

The ordinary had been a machine for athletes. The safety bicycle was a machine for everyone.

By the 1890s it had become something close to a religious phenomenon. Factories couldn’t keep up with demand. Doctors wrote approvingly of its effects on the nervous system, the cardiovascular system, the general disposition of the modern soul. Roads were improved because cyclists demanded it. The bicycle arrived before the automobile and prepared the world for it — softened the ground, culturally speaking, for the idea that ordinary people might move through space under their own mechanical power, faster than their feet could carry them, farther than their legs could take them. It was the first technology to feel like freedom to people who had never felt that way before.

In Dayton, Ohio, two brothers watched all of this happen and decided to get into the business.

Orville and Wilbur Wright were not, in the beginning, aviation pioneers. They were bicycle mechanics. They opened their shop in 1892, right at the peak of the craze, and what they learned there — the feel of a machine in motion, the gyroscopic principles of balance and control, the importance of getting the weight right, the importance of understanding what a human body can and cannot do at speed — was an education no university offered and no book could fully provide. They learned it with their hands. They learned it in the gap between the machine that existed and the machine that should exist.

The Wrights were not the only ones in Dayton thinking about bicycles. The Huffman Manufacturing Company had opened its doors the same year as the Wright Cycle Company — 1892, the peak of the craze, the same fever in the same city. Huffman would eventually become Huffy, and Huffy would eventually become the bicycle every American child found under the Christmas tree. Dayton was doing something in those years. It was a city that couldn’t stop thinking about how people move. The precision those Coventry craftsmen had developed — interchangeable parts, tight tolerances, the discipline of making things that had to work — migrated into every bicycle shop that followed, including a small one on West Third Street.

The chain drive had taught the world that the right mechanical insight could make an impossible thing ordinary. You didn’t have to accept the constraints you were handed. You could re-ask the question.

Orville and Wilbur had been paying attention.

When they went to Kitty Hawk in 1903, they brought with them a bicycle chain. It connected the engine to the propellers. The same principle — a sprocket, a chain, a transferred force — that had brought the penny-farthing rider down from his absurd perch now lifted two men off the ground for the first time in human history.

The man on the high-wheeler in 1879 did not know he was riding toward the Wright Brothers. He was just going to work. But the machine beneath him, the one everybody called loose change and he called ordinary, was already asking the question that would take twenty years to answer.

What happens when you finally get the wheel the right size?

The roller chain — the specific form that connected pedal to wheel and made the safety bicycle possible — was invented in Manchester in 1879 by a Swiss engineer named Hans Renold. He was refining a design that Leonardo da Vinci had sketched in a notebook around 1500. Leonardo could imagine it. He couldn’t make it. The world needed four hundred years of improving machine tools before anyone could hold the tolerances tight enough to build what Leonardo had already seen. The idea arrived centuries before the craft caught up. It is always this way.

Categories
Aircraft History

The Merlin

There is a sound that men who heard it never forgot. Not the roar exactly, though it roared. Something beneath the roar — a note, almost musical, that settled into the chest and stayed there. Four Rolls-Royce Merlins at full throttle on a Lancaster climbing out of Lincolnshire in the dark, and sixty years later old men would close their eyes trying to describe it and find they couldn’t, not quite, which was itself a kind of description.

The engine was a miracle of the wrong era. Liquid-cooled, sixty degrees of vee, twenty-seven liters of displacement producing over a thousand horsepower from something you could fit in a large kitchen. Rolls-Royce had been making engines since 1906, had learned things about metallurgy and tolerance and the behavior of superheated gases under compression that couldn’t be written down, only accumulated, passed hand to hand through decades of making things that had to work when nothing could be allowed to fail. The Merlin was the distillation of all of it.

And then — this is the part that stops you — they couldn’t build enough of them.

Britain in 1940 was a country running on nerve. The factories were working. The workers were willing. But the math was brutal and the math didn’t care about willingness. So someone made a phone call to Detroit. To Packard. A company that had spent thirty years building luxury automobiles for American industrialists, cars with interiors like drawing rooms on wheels, cars that announced their owners had arrived at exactly the place they had always intended to be. Packard looked at the Merlin blueprints, converted the tolerances from imperial to metric and back again, retooled their entire production line, and started building the engine that would power the Spitfire, the Hurricane, the Lancaster, and the P-51 Mustang.

Think about what that required. Not just the engineering, though the engineering was extraordinary. The belief required. That these tolerances mattered. That this particular arrangement of pistons and supercharger vanes and coolant passages was worth the disruption of an entire industrial operation. Packard’s engineers didn’t question the design. The design had already proven itself.

You built the Merlin because the Merlin worked.

The question — the one that takes longer to arrive — is what you do when the thing the Merlin is for doesn’t.

Arthur Harris believed.

That is the first thing to understand about him, and maybe the last. He believed in the bomber the way certain people believe in a technology so new and so powerful that the believing itself feels like vision. Strategic bombing would break Germany. Not assist in breaking Germany. Not contribute to a larger effort that would break Germany. Would, by itself, through the systematic destruction of German cities and the German will to continue, end the war. Harris had held this view before the war began and he held it after the evidence came in and he held it, unmodified, until he died in 1984.

This is not stupidity. The most costly certainties never are. Harris was shrewd, forceful, organizationally gifted, genuinely courageous in the sense that he was willing to send men to die for what he believed and knew he was sending them. He understood logistics, understood morale, understood the brutal arithmetic of attrition. What he could not do — what the structure of his certainty would not permit — was update.

The evidence arrived slowly enough that you could always explain it away. German war production increased through 1943, then through 1944, even as the bombers came night after night. The factories dispersed. The workers adapted. The morale that was supposed to crack showed instead a remarkable tendency to consolidate under pressure, the way populations sometimes do when the threat comes from the sky and cannot be reasoned with. The theorists had a model of human psychology that turned out to be wrong, and the model’s wrongness kept arriving in the data, and Harris kept flying.

Fifty-five thousand men.

Picture Harris alone. The commander in the early morning after the casualty reports come in, before the day’s work begins again. The loneliness of a certainty that has become structural — no longer a belief you hold but a belief that holds you, because the alternative is not just being wrong but having been wrong, which means all those boys went down over the Ruhr for a theory, which is a weight no living person can carry and continue to function. So you don’t revise. You recommit. You ask for more aircraft, more crews, more nights.

You build more Merlins.

This is the mechanism. Not malice. Not indifference. The certainty becomes self-protective, which means it becomes invisible, which means it becomes the water you swim in rather than a position you hold. Harris stopped being a man with a theory about bombing and became a man for whom bombing was the answer to every question, including the question of whether bombing was working.

The Lancaster crews knew something was wrong before Harris did. You could see it in the casualty rates, which they could calculate as well as anyone — better, actually, because they were doing the calculating with their own lives as the variable. Forty-four percent didn’t survive their tours. They knew this. They flew anyway, because courage doesn’t require certainty about the strategic framework, only about the man beside you and the mission tonight.

The Merlin started and you went.

The Merlin outlasted the theory. It kept flying for decades after the war, in civilian aircraft, in racing planes, in the occasional restored Lancaster that still tours airshows in Britain, where crowds gather on summer afternoons to watch it pass and hear, carried on the wind, that sound. The note beneath the roar. The thing that settles in the chest.

Beautiful, people say, watching it go.

And it is. It genuinely is.

What they couldn’t know — what none of them could know — was that the engine was the most reliable thing in the entire enterprise.

Categories
Technology

The Silence of Glass

There is a moment, right before surgery, when the anesthesiologist asks you to count backward from ten. You get to seven, maybe six, and then the world goes clean and white. Scientists have a word for the material responsible for that transition: borosilicate. The same compound in the syringe barrel is in the telescope mirror trained on the Andromeda galaxy, in the fiber strand carrying the surgeon’s consultation with a colleague three thousand miles away, in the smartphone screen the patient’s wife is staring at in the waiting room, hands shaking, refreshing nothing.

Glass is everywhere and we have made it invisible, which is the oldest trick civilization knows.

Vaclav Smil argues in Making the Modern World that the most consequential material of the last two centuries is not steel or silicon or oil. It is float glass — invented by Alastair Pilkington in 1959, when he watched dishwater spread across his kitchen sink and understood something that had eluded glassmakers for four hundred years. Pour molten glass onto a bath of molten tin and it finds its own level. It becomes, on its own, perfectly flat. Every window, phone screen, solar panel, and architectural facade descends from a man watching his wife do dishes.

What Smil doesn’t quite say — though you feel it accumulating across his pages — is that glass is the one material that consistently mediates between the inner and the outer. Not metaphorically. Literally. It stands at the boundary and says: you may look, but you may not touch.

The fiber optic cable looks like nothing. Pull back the orange jacket and you find strands thinner than a human hair, each one pure silica glass so precisely drawn that a photon launched into one end will emerge after sixty miles having lost less than five percent of its energy. That number seems impossible. It is a kind of miracle achieved through obsessive purity: any contaminant at the molecular level, any stress in the crystal lattice, any deviation in the core diameter, and the light scatters and dies. Underneath every ocean, through every mountain, connecting data centers in Virginia to servers in Singapore, there are hundreds of millions of kilometers of this material, laid in darkness, carrying light.

I think about that sometimes when I hit send. The electrons leave my keyboard, convert to photons at some local junction, and then travel — genuinely travel, as light through glass — to wherever they are going. There is something devotional about it, though I can’t quite say why. Maybe it’s the invisibility. Maybe it’s the faith required — that the thing you release will arrive, intact, somewhere it has never been.

Glass is in the MRI machine and the X-ray plate and the laboratory flask where the drug was first synthesized and the vial where it is stored and the syringe through which it enters the body. Glass does not react. It does not corrode. It does not leach. This chemical inertness, which seems like absence, is actually the whole point. Medicine needed a container that would hold the thing without becoming it.

There is also glass in the eye reading the label on that vial. The human lens is, optically speaking, a soft glass. It focuses, ages, clouds — cataracts are the eye’s glass going milky — and the surgeon replaces it with an intraocular lens engineered to behave like glass. We have spent considerable effort making fake versions of something the body was already doing.

For most of human history, clear glass was expensive, fragile, and small. Window glass in medieval Europe admitted light hazily, like looking through ice. Clear vision was for churches, which is perhaps why we came to associate light with the sacred — it literally arrived, in those buildings, in a way it did not arrive anywhere else. Then Pilkington’s tin bath made clarity cheap, and the world changed in ways nobody fully catalogued because the change was so pervasive: big windows, watched experiments, extended growing seasons, telescopes reaching farther, microscopes going smaller. Each a story of glass making a distance crossable that was not crossable before.

The screen I am writing this on is glass. The Corning Gorilla Glass on this display is an alkali-aluminosilicate sheet, chemically strengthened through ion exchange, harder than most knives, clear enough that the pixels look like they are sitting on the surface rather than behind it. Apple spends considerable engineering effort making the glass seem like it isn’t there. The ideal phone screen is invisible. A window to computation.

And yet the glass is the thing you actually touch. All day. More than you touch almost anyone. The glass is warm from your hands. It has learned, in a way, the pressure of your thumbs.

Glass is the material of thresholds — it makes the threshold visible, makes it possible to stand at a door and see all the way through before you decide whether to enter. We built the internet through it. We see our loved ones through it. We study cancer through it. We watch the news through glass that traveled to us through glass captured by cameras with glass sensors launched on satellites with glass lenses through a sky that is itself, technically, a lens — bending and filtering the light from everything that has ever been.

In the hospital waiting room, the wife is still holding her phone. The screen has gone dark. She taps it. It lights up. She looks at her own reflection for a moment — the screen a mirror now — before the notification arrives and the glass goes transparent again, the way it always does, showing her something other than herself.

That is what glass does. It waits. It holds. And then, when there is something to show, it gets out of the way.

Categories
AI AI: Large Language Models China

Cranes on the Horizon

In 2005, during my first trip to Shanghai and Beijing, the most striking feature of the skyline wasn’t the architecture—it was the cranes. More than I could possibly count, perched atop half-finished skyscrapers like a mechanical forest. Entire districts seemed to be mid-construction simultaneously, as if someone had pressed a button and the whole country decided to build everything at once. Dan Wang in his book “Breakneck” described China as the “engineering state” that approaches national problems with physical solutions. Back in 2005, coming from Silicon Valley, I thought I understood what growth looked like. I didn’t.

I’ve been thinking about that trip while reading Nathan Lambert’s recent piece, “Notes from Inside China’s AI Labs.” Lambert — who runs the Interconnects newsletter and does serious work tracking the open-weight LLM ecosystem — just returned from visiting essentially every major AI lab in China. Moonshot, Zhipu, Meituan, Xiaomi, Qwen, Ant Ling, 01.ai. He went in with genuine curiosity and came back with humility. That combination is rarer than it should be.

What he found was the cranes. Different domain, same energy.

Lambert’s central observation is about culture, not capability. The Chinese labs aren’t winning on any single technical breakthrough — they’re winning on execution discipline. He describes researchers, many of them active students, who bring no ego to the work. They absorb context fast, drop assumptions faster, and seem genuinely unbothered by the philosophical debates that seem to swirl constantly in the American AI community. When he tried to engage Chinese researchers on the long-term social risks of models or the ethics of AI behavior, those questions “hung in the air with a simple confusion. It’s a category error to them.” Their role is to build the best model. Full stop. To them, an LLM isn’t a philosophical entity to be interrogated; it’s a piece of infrastructure to be optimized.

That description landed for me. Not as a criticism of American research culture, but as a real observation about what the moment demands. Building good LLMs today is, as Lambert puts it, meticulous work across the entire stack — “all points of the model can give some improvements, and fitting them in together is a complex process.”

The work that matters most right now isn’t the 0-to-1 creative leap; it’s the thousand unglamorous decisions executed without complaint. Students who haven’t yet learned to lobby for their own ideas turn out to be well-suited for exactly this.

Lambert ends on a note that’s hard to shake. Looking up from his laptop on a high-speed train, he keeps seeing cranes on the horizon. He draws the same connection I did, though from the inside: the construction everywhere fits the broader culture and energy around building. “When I look up from my laptop and always see bunches of cranes on the horizon, it obviously fits in with the broader culture and energy around building in China.”

Twenty years after my first visit, the cranes are still there. They’ve just moved indoors — into server rooms and training runs and model releases that land every few months with quiet confidence. In 2005, what China was building was obvious: you could see the steel frames going up. What’s being built now is harder to see, which may be exactly why it keeps surprising us.

Check out Lambert’s essay – it’s remarkable. If the 20th century was defined by who could move the most earth, the 21st will be defined by who can move the most tokens. And right now, the cranes are moving faster than we think.

Categories
Business Creativity Space SpaceX

Test like you fly!

There’s a phrase in the SpaceX documentary that keeps coming back to me: “Test like you fly.” It sounds like a slogan. The kind of thing that gets painted on a factory wall and eventually stops meaning anything. But the more I sit with it, the more I think it’s actually a philosophy that reaches well beyond rocket engineering.

The video — a 25-minute documentary SpaceX released last week — is ostensibly about Starship Version 3. New ship, new booster, new engines, new pad, new test site. Everything rebuilt. And they’re not shy about framing it as a reset, not an upgrade. One description I read called it “a quiet violence in progress.” That phrase stopped me cold, because it’s exactly right. Progress that looks violent from the outside — all that fire and metal — but is somehow quiet in its inevitability.

What moved me watching it wasn’t the engines. It was the engineers. SpaceX put the people on camera: the ones running cryogenic pressure tests at 80 Kelvin, stress-testing tank structures at 70% proof, explaining their failures and their data with the flat affect of people who have made peace with how long hard things take. There’s something almost monastic about it. You choose a problem that will not yield easily. You accept that the work will outlast any individual sprint of enthusiasm. You go back to it anyway.

I keep thinking about that in the context of what we’re doing with AI — the other enormous, fast-moving project that I spend so much of my mental energy on. The development arc is different: iterative releases, weeks not years between jumps, demos that blur into deployment. But the same principle is buried in there somewhere. The best AI teams I read about aren’t the ones shipping the most polished demos. They’re the ones building infrastructure for failure — evals, red-teaming, structured feedback loops. Test like you fly.

The Raptor 3 engines now produce 280 metric tons of thrust each. Thirty-three of them on a Super Heavy booster means over 17 million pounds of liftoff force. I have no intuitive frame for that number. What I do have a frame for is what those numbers represent: three years of iteration on top of five years before that, on top of a theoretical foundation laid by people who didn’t live to see any of this. There’s a compounding in that which I find genuinely moving. Nobody built the Raptor 3 in isolation. It came from everything that broke before it.

The hardest part of the documentary isn’t the engineering. It’s the implicit acknowledgment of how much remains undone. No Starship has yet achieved full orbital velocity with both stages intact. In-space refueling is still untested. The thermal protection systems need more work. And yet — SpaceX talks about unmanned cargo missions to Mars before the end of this year like it’s on the roadmap, not the wish list. That sentence used to sound like marketing. Watching the footage, it doesn’t anymore.

I’m not sure what to do with that feeling exactly. It’s something between awe and vertigo. We’re living in a moment when the audacious has started to have quarterly milestones. When the impossible keeps showing up on timelines and then — bewilderingly, uncomfortably — meeting them.

Test like you fly. Fail with rigor. Build the thing you actually need, not the thing you could more easily explain.

I keep turning that over. There’s a post in there somewhere about writing, too — about the drafts nobody sees, the structural tests that fail, the versions that taught you the one that worked. But that’s for another day.

For now I’m just sitting with the footage of those 33 engines lighting up, and the quiet weight of how much went wrong before they could do that.

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)

Categories
AI

The Ghost of Edison in the AI Data Center

For over a century, the story of modern electricity has been framed by the “War of the Currents.” Thomas Edison championed Direct Current (DC)—a stable, continuous flow of energy—while Nikola Tesla and George Westinghouse backed Alternating Current (AC), which could be easily stepped up in voltage to travel long distances across the grid.

Tesla won. AC became the lifeblood of the global power grid. But history has a funny way of looping back on itself. Today, as we stand on the precipice of the largest infrastructure build-out in human history—the artificial intelligence data center—Edison’s DC power is making a quiet, monumental comeback.

The catalyst? The sheer, unyielding physics of energy consumption.

The AI boom, driven by massive GPU clusters from companies like NVIDIA, is extraordinarily power-hungry. We are no longer measuring data center power in megawatts; we are measuring it in gigawatts. And when you are dealing with power at that scale, the friction of legacy architecture becomes a multi-billion-dollar bottleneck.

On X Ben Bajarin cited a recent conference discussion by an executive from power management supplier Eaton that highlighted a massive architectural shift happening right now behind the scenes:

“800-volt DC to the rack is probably one of the biggest architectural changes that are starting to be designed into data centers, and a lot of those designs are taking place right now. You know, honestly, when look at Eaton, I think that’s one of the untold stories here, is that DC power is probably one of the biggest transformational things that are going to hit the electrical industry since, quite frankly, AC electricity was around in the Edison days.”

To understand why this is revolutionary, you have to look at how a traditional data center gets its power. Power arrives from the utility grid as medium-voltage AC. It is then stepped down to low-voltage AC, sent to the server floor, converted into DC, stepped down again, and finally fed into the server rack at 54 volts.

Every time power is converted from AC to DC, or stepped down through a transformer, there is a penalty. It generates heat, and it loses energy.

“We estimate that there’s roughly about 5% electrical loss during that transition. If you could just go from DC, directly from the utility feed, all the way through the data center into the rack, that’s 5% efficiency gain that you could get.”

In the abstract, 5% sounds like a rounding error. But scale changes everything. Eaton projects that the upcoming data center build-out to support AI will require somewhere between 50 and 100 gigawatts of power.

“So on 50 gigawatts or 100 gigawatts of power generation that’s needed, that’s 5 gigawatts of power that all of a sudden just appears from the existing infrastructure. And that is really, that is really exciting.”

Five gigawatts is not a rounding error. Five gigawatts is the equivalent output of five standard nuclear reactors. It is enough energy to power millions of homes. And in this new 800-volt DC architecture, those five gigawatts aren’t created by burning more coal, building more solar panels, or splitting more atoms.

They are created purely by the removal of friction. By subtracting the unnecessary steps.

There is a profound philosophical metaphor hidden in this electrical engineering triumph. In our own lives, and in our organizations, we are obsessed with generation. When we face a deficit—a lack of time, a lack of output, a lack of revenue—our default instinct is to generate more. We try to work longer hours, hire more people, or drink more coffee.

But how much of our daily energy is lost to “conversion friction”? How much mental power evaporates when we constantly context-switch between tasks, essentially converting our mental state from AC to DC and back again? How much organizational momentum is lost translating an idea through five different layers of middle management before it reaches the “rack” where the actual work is done?

Often, the most elegant and impactful solution isn’t to generate more power. It is to look at the existing architecture of your life or business, identify the transition points that are bleeding energy as heat, and rewire the system to flow directly to the source.

The invisible architecture that shapes our digital lives is shifting. In the race to build the future of artificial intelligence, the biggest breakthrough wasn’t a new way to create energy, but a century-old method of preserving it.

Categories
Business

The Geometry of Focus: Finding the Limiting Factor

In the modern landscape of high-stakes management, there is a recurring temptation to solve everything at once. We are taught to optimize across the board—to improve efficiency by 2% here, 5% there—until the entire machine hums. But in a recent conversation with John Collison and Dwarkesh Patel, Elon Musk repeatedly returned to a single, almost obsessive mantra: the “limiting factor.”

It is a deceptively simple phrase. It suggests that at any given moment, there is one specific bottleneck that dictates the speed of the entire enterprise. If you aren’t working on that, you aren’t really moving the needle. You are merely polishing stuff.

“I think people are going to have real trouble turning on like the chip output will exceed the ability to turn chips on… the current limiting factor that I see… in the one-year time frame it’s energy power production.”

Musk’s management technique is not about broad oversight; it is about a radical, almost violent prioritization. He looks at the timeline—one year, three years, ten years—and asks: What is the wall we are about to hit? Right now, it might be the availability of GPUs. In twelve months, it might be the physical gigawatts of electricity required to plug them in. In thirty-six months, it might be the thermal constraints of Earth’s atmosphere, necessitating a move to space.

This approach requires a high “pain threshold.” To solve a limiting factor, you often have to lean into acute, short-term struggle to avoid the chronic, slow death of stagnation. John Collison noted this during the interview:

“Most people are willing to endure any amount of chronic pain to avoid acute pain… it feels like a lot of the cases we’re talking about are just leaning into the acute pain… to actually solve the bottleneck.”

For many leaders, the “limiting factor” is often something they aren’t even looking at because it lies outside their perceived domain. A software CEO might think their limit is talent, when it’s actually the speed of their internal decision-making. A manufacturer might think it’s raw materials, when it’s actually the morale of the factory floor.

To manage by the limiting factor is to admit that 90% of what you could be doing is a distraction. It is a philosophy of subtraction and focus. It demands that we stop asking “What can we improve?” and start asking “What is stopping us from being ten times larger?” Once you identify that wall, you throw every resource you have at it until it crumbles. And then—and this is the part that requires true stamina—you immediately go looking for the next wall.

By focusing on the one thing that matters, we stop being busy and start being effective. We stop managing the status quo and start engineering what may feel like the impossible.

Categories
Energy San Francisco/California Texas

Drilling for Redemption

It’s often said that the future arrives in disguise, wearing the hand-me-downs of the past. Nowhere is this more evident than in the scrublands of Texas, where a quiet revolution is taking place—one that looks suspiciously like the old status quo.

A recent New York Times story caught my eye: Not All Drilling in Texas Is About Oil. It details how the Lone Star State is rapidly becoming a hub for geothermal innovation. But here is the twist: they are doing it by repurposing the very tools, technology, and roughneck talent that built their oil empire.

“The state has become a hub of innovation for creating electricity using geothermal power. Just don’t call it renewable.”

There is a profound irony here. For decades, the narrative has been a binary battle: Dirty vs. Clean, Old Energy vs. New. But in Texas, the lines are blurring. The same drill bits that once pierced the earth for carbon are now hunting for heat. It turns out that if you know how to drill deep and manage pressure, you are halfway to solving one of the world’s most sustainable energy puzzles.

Here in California we’ve often prided ourselves on being at the vanguard of the green revolution, yet our own geothermal legacy is practically ancient history. Just north of San Francisco lies The Geysers, the world’s largest geothermal field. It has been quietly churning out electricity since 1960. It’s a marvel of the “old way”—tapping into rare, natural dry steam reservoirs. It was the low-hanging fruit of the geothermal world.

It turns out that what’s happening in Texas is different than at The Geysers. It’s the “hard stuff.” They aren’t just finding steam; they are engineering the earth to release steam, using advanced techniques to crack hot rock and circulate water. It is a technological leap that stands on the shoulders of the oil giants.

There is a beautiful lesson in this convergence. We tend to discard our past selves when we try to grow. We want a fresh start, a clean slate. But true evolution—whether in energy grids or our own lives—rarely works that way. We usually have to use the skills we learned in our “messy” phases to build our cleaner futures.

Years ago California showed us the resource was there. Texas is now showing us how to reach it in more places.