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We Are the Last People Who Know How It Works

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Why This Matters

This article highlights the shift from hands-on, technical understanding of computers in the 1990s to today's user-friendly AI-driven interfaces. It emphasizes how modern technology prioritizes convenience over deep knowledge, potentially leading to a loss of technical competence among users. Recognizing this change is crucial for both industry innovation and consumer empowerment.

Key Takeaways

To play a computer game in in the 1990s, you first had to understand how the computer worked.

So you learned. You opened files like autoexec.bat and you read them. Sometimes you built a boot disk for a single game. A floppy whose entire reason to exist was to start the computer in the configuration that one program demanded.

A ten year old did this. I did this. You did it because you wanted to play badly enough, and the machine would not let you play until you had learned a little of how it worked. That was the arrangement. The machine had terms!

Everything had terms then. The modem sang its negotiation out loud, and that shriek was two machines arguing about how to speak to each other, and after enough times you could hear when the argument was going south and the call was about to drop. You set little jumpers on drives with your fingernail. You knew which interrupt your sound card answered to, because if you guessed wrong it answered to nothing. The machine was made of edges and you cut yourself on them, and that is how you found out where they were.

This might sound like I’m complaining, but I’m not.

The difficulty was the knowledge. You came to know that machine the way you come to know anything that pushes back. The resistance was the whole medium. You only ever know the things that you can lose to.

Which is what makes the machines and services we are building now so strange, and so easy to mistake for an old story about convenience.

We describe it as the last convenience, the AI assistant, the thing that finally sands off the friction. And it does. You say what you want and it appears. It never makes you read a config file. It never sets terms. It rearranges itself around your sentence, says sorry when you frown, and tries again. It is the most accommodating thing anyone has ever built.

And a machine that cannot challenge you is a thing you cannot know. You can only use it.

Some of us keep telling the story of this moment as a loss of competence. The graybeards are aging out, nobody compiles their kernel anymore, and someday something deep will break and there will be no one left who can climb down and fix it. Maybe. But I think competence is the part that’s fine. The knowledge is not in danger, in fact, it has never been safer. The AI models have read every manual that no human reads. They will recite, flawlessly and forever, exactly how all machines work. If this were only about competence, it would be the most secure moment in the history of computing.

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