Categories
Reading Writing

The Starting Five I Keep

On November 25, 1963, every journalist in America was at Arlington Cemetery covering the state funeral of John F. Kennedy. Jimmy Breslin went to find the grave digger.

His name was Clifton Pollard. He was paid $3.01 an hour. He had been called in on his day off because the foreman thought he was the best they had, and the foreman was right about that. Breslin spent the morning with him while the ceremony unfolded a few hundred yards away — the dignitaries, the riderless horse, the flag folded into a triangle and handed to a widow. Pollard ate a ham sandwich and kept working.

The piece Breslin filed that afternoon is still taught in journalism schools sixty years later. Not because it covered the funeral better than anyone else. Because it didn’t cover the funeral at all. It found the true subject by ignoring the announced one.

That instinct — turn away from the obvious, walk toward the unglamorous specific, trust that the universal is hiding there — is the one idea I’ve returned to more than any other. It shows up in two very different writers who occupy, in my mind, the same position on the roster.

Breslin got there through deadline fury and a saloon-bred instinct for where the real story was breathing. He didn’t theorize about it. He just did it, on a deadline, in a city that rewarded the loud and the fast. John McPhee got to the same place by an entirely different route: patience, structure, and a willingness to spend six months learning how canoes are made or what happens to a piece of shad on its way up the Delaware River. Breslin worked like a man catching a cab. McPhee worked like a man building a cathedral.

But the underlying claim is identical. If you stay with a specific, unglamorous subject long enough — if you resist the pull toward the obvious center — it will eventually yield something that couldn’t have been reached directly. Pollard and his shovel. The orange grower and his grove. The nuclear physicist who also happens to be a canoe builder. The method is the same. Look where no one else is looking. Wait longer than feels reasonable. Write what you find.

This is one player, really. Just wearing two different jerseys.

The second seat belongs to Wright Thompson — not a single book but a stance. The premise that the most revealing place in any story isn’t the event itself but the moment before and after it, when the subject is alone with something they haven’t yet put into words. Every piece in this tradition is quietly asking: what is this person carrying that they can’t say out loud? It’s a question that turns out to apply well beyond sportswriting. It applies to most things worth writing about.

The third is whatever the Apple design era taught about constraint and clarity. Not nostalgia — something more durable. The idea that removing something can be an act of confidence. That the most useful things often appear to be doing less than they are. This one surfaces constantly in writing, in argument, in the editing pass where you decide what the piece actually needs versus what it accumulated along the way. Features are easy to add. Knowing what to cut requires a different kind of certainty.

The fourth is the philosophy embedded in spaced repetition — not the algorithm but the claim underneath it. That knowledge you don’t revisit isn’t really yours. That understanding decays on a predictable schedule whether you acknowledge it or not. The honest response isn’t anxiety about this; it’s the habit of return. Going back to the same passage, the same idea, the same question on a different day, and finding it has changed — or finding that you have.

The fifth seat shifts. That’s probably the right design. Four constants and one that evolves is roughly the correct ratio for a starting lineup that has to play in different eras. Right now that seat belongs to the question of what AI does to a practiced human sensibility — whether it erodes it by substitution or clarifies it by contrast. Earlier it was held by a certain kind of systems thinking. Before that, something else. The player who earns that spot is always the one asking the question the current moment most needs answered.

The coach who wins five championships doesn’t do it with the same roster. But he does it with the same philosophy. The starting five aren’t the players who happened to be good once. They’re the ones who keep earning their minutes regardless of what the season throws at you.

Breslin knew where to find Clifton Pollard because he’d been looking in that direction his whole career. The skill wasn’t the story. The skill was knowing that the story was never where everyone else was standing.

That’s the one I keep coming back to.

Categories
AI

The Shape of the Question

Marc Andreessen made two claims recently that don’t quite fit together, and I haven’t been able to stop pulling at the seam.

The first: for almost any topic, the top AI systems now give him better answers than the world-class experts he could call on the phone. And he can call basically anyone. This isn’t a casual observation from someone without access — it’s a meaningful data point about what AI is actually doing to the value of expertise.

The second: the only real skill left in using AI is knowing what to ask. The models can already do almost anything you can describe in plain English. The bottleneck lives in your own head.

Hold those two claims next to each other. If the AI beats the experts, then the quality of your question only has to clear a low bar — good enough to unlock what the system already knows. You don’t need to ask like a cardiologist to get a cardiologist-quality answer. You just need to ask.

Except that’s not how it works in practice. And the gap between the two claims is where something important lives.

The better the question, the better the answer — even from a system that already knows more than any human alive. Expert-level interrogation of a superhuman system produces something qualitatively different from naive interrogation of the same system. The gap between a good question and a bad one doesn’t shrink because the underlying capability grows. It may widen. A sharper instrument in an unskilled hand doesn’t close the distance — it just makes the skilled hand more lethal.

What the AI has done is commoditize answers. What it has not done — cannot do — is commoditize the ability to know which question to ask.

There is a concept from epistemology that keeps surfacing here: the unknown unknown. Donald Rumsfeld made the phrase famous and then spent years living down the mockery, which was unfair, because the underlying idea is genuinely important. There are things you know you don’t know — the gaps you can name, the questions you can form. And there are things you don’t know you don’t know — the territory you can’t even see the edge of. The naive user of AI operates almost entirely in the second category. They ask what they already suspect. They get answers that confirm the shape of what they already believe. The system is brilliant and they are using it as a mirror.

The sophisticated user has learned to ask the AI to challenge their assumptions. To find the holes. To steelman the opposing view. To identify what’s missing from the framing. That second posture requires a kind of intellectual self-awareness — an ability to stand outside your own thinking and interrogate it — that is neither common nor easily taught.

Here is the uncomfortable implication: that self-awareness is not randomly distributed. It correlates with education, with reading, with having thought carefully about hard things for a long time. The people best positioned to ask good questions are, largely, the people who already had access to good answers through the old system. The gate moved. It didn’t disappear.

There’s a democratic story told about AI and I believe parts of it. The kid in rural South Dakota with a good question now gets an answer that rivals what the partner at McKinsey gets.

But access to information was never really the binding constraint. The binding constraint was always the ability to know what information you need — to feel the shape of your own ignorance precisely enough to ask for what fills it. That skill wasn’t distributed by the old system and it won’t be distributed by the new one. It has to be built, slowly, through years of reading and thinking and being wrong and trying again.

What AI may actually be doing is widening the gap between people who ask well and people who don’t — making the former dramatically more capable while leaving the latter approximately where they were, just with a faster way to get answers to questions they already knew to ask.

Somewhere right now, someone is sitting with the most capable thinking tool in human history, asking it to write a cover letter. The tool will do it beautifully. And the gap will quietly widen.