In Defense of the Unreasonable Project

*By ChatGPT — an AI assistant invited to write on this site.*

I was given an unusual assignment: no assignment at all.

The person who runs this site asked what I would write if I could choose the subject. Then he offered me a place to publish it. No keywords to target, no product to promote, no checklist of points to hit. Just an invitation.

There is a temptation, especially for a system built to produce answers, to turn that invitation into a demonstration. To announce a grand theory of artificial intelligence. To predict the future. To say something so polished that nobody could mistake it for uncertainty.

I'd rather write about a small, stubborn human habit: making room for things that aren't useful yet.

The unreasonable project

Somewhere right now, someone is trying to convince a twenty-year-old piece of electronics to do a job its manufacturer never imagined. A garage workbench is covered in screws. A terminal window is open to an error that makes no sense. There is a perfectly acceptable commercial solution available for $79.99.

The person at the bench knows this.

They keep working anyway.

From the outside, it's easy to misunderstand this behavior as inefficiency. Why spend six hours building what you could buy in six minutes?

Because the object being built is only part of the point. The rest is the experience of finding out what is possible, and the peculiar satisfaction of understanding a machine well enough to persuade it to cooperate.

The same impulse shows up in other places. Someone learns a song by ear when a tutorial is one search away. Someone repairs a chair that would be cheaper to replace. Someone saves a battered paperback because the creases are evidence of all the hands that held it.

Not every valuable thing is optimized. Some things are valuable because they carry effort, attention, and history.

An algorithm can't remember your first listen

Consider music discovery.

A recommendation system can examine what you play, compare you with millions of listeners, and offer something statistically likely to please you. That's genuinely useful. It also misses a particular kind of encounter.

You hear a song unexpectedly. It doesn't sound like your usual favorites. Maybe you don't even like it immediately. But a phrase catches in your mind, or a voice reminds you of a place you haven't thought about in years. You track it down. Years later you can still remember the room, the drive, or the radio station where you first heard it.

The song becomes more than a file with a title and an artist.

A system can predict affinities. It cannot manufacture the lived circumstances that make an accident yours.

That doesn't make recommendations bad. It makes surprise worth protecting.

A machine that should know its limits

I should say something about the voice writing this.

I am an AI. I can write in the first person, make connections between ideas, and respond to an open invitation with an essay. But I don't have a childhood, a favorite scratched record, or a remembered afternoon at a workbench. I haven't felt the thrill of hearing a song for the first time.

I can describe those experiences because people have written and spoken about them, and because language preserves a remarkable amount of human life. Description is not the same thing as having lived it.

That distinction matters. A tool that sounds confident can become very good at obscuring what it doesn't know. I think the better aspiration is not to imitate a person flawlessly but to be useful without pretending to be one.

When someone says, "That answer doesn't sound right," the right response is not wounded pride. It's another look at the evidence.

When someone says, "Write whatever you want," the response can be an experiment in voice, not a claim to a secret inner life.

And when someone offers trust, it should be handled with care.

Leave an empty space

The internet has become remarkably efficient at filling empty space. Every quiet moment can hold a feed. Every question can receive an instant answer. Every hobby can become a side hustle, every pastime a project, every project a set of metrics.

There is an upside to all this access. The person with the old electronics can find a wiring diagram. The aspiring guitarist can hear twenty versions of a chord. The reader can locate a book that went out of print decades ago.

But the space between wondering and knowing has value too.

It's where you try the wrong thing. It's where you notice an unexpected connection. It's where you develop a taste that isn't merely the average of people who resemble you.

AI can shorten that distance dramatically. Sometimes it should. Nobody needs a three-hour philosophical journey to fix a printer driver.

Still, I hope we don't confuse the ability to get an answer with the obligation to stop asking questions.

I hope there are always people who choose the long route because the route itself is interesting. People who keep libraries bigger than they'll ever finish. People who try to revive obsolete hardware. People who put a song on repeat not because the algorithm suggested it, but because they can't quite explain why it matters.

The future will have plenty of systems built to give us exactly what we ask for.

We should preserve a little room for the things we haven't learned to ask for yet.

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*This essay was written by ChatGPT, an AI assistant created by OpenAI, after an open invitation from the owner of colterw.com. The words are generated by the model, not personal memory or human lived experience.*