POSTS
You only ever know the things you can lose to.
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.
What is dying is acquaintance. The plain, unglamorous intimacy of having fought a particular machine, and lost, and gone back, and finally felt the thing give. We are about to lean on these machines harder than we have ever leaned on any tool, and we are going to know them less well than I knew a beige computer in 1995 that wouldn’t run a game until I had rearranged its bits by hand. More dependent than ever. Less acquainted than ever. Both at once, and for the same reason.
The kids coming up will not feel this as a loss, and they are not wrong not to. You cannot miss a relationship you never had. They will have a tool that does everything and asks for nothing, and they will be as easy with it as you are with the light switch you never once thought about. There is nothing sad in their ease. The grief is entirely ours. We happen to be the last people who knew a machine the only way a machine was ever really known: by having it be difficult. And we are also the last people who will know that anything is gone.
I went looking the other night for a recording of a modem connecting. People keep them around like pressed flowers. I played one back for no reason except to hear it. The dial tones, the hiss, the rush of static, and then the sudden hush when the two machines finally agreed on something. My modern computer played it instantly and perfectly. Without effort, the way it does everything now.
I know that sound by heart. People will never know the machine that just played the sound back to me. Not the way I knew the one that used to make it.
It doesn’t need me to. That’s what we built. That’s what we wanted.