The bleed is already in our data
Saturday 24 January 2026
We have started something and we are not yet sure what to call it, so for now we are calling it work.
The idea has been in the room for weeks and none of us can put it down, which is usually how you can tell an idea is going to cost you something. It goes like this. If adjacent realities bleed into ours — quietly, the way a radio two streets away bleeds into a badly shielded cable — then the traces of that bleed are not out there waiting to be detected. They are already here: in the recordings we already own, the images we already scrolled past, the culture we have already made and forgotten making. And if they are in all of that, then they are in the models trained on all of that. The bleed is sitting in the latent space of every system that has learned the shape of our culture. Nobody put it there on purpose. Nobody indexed it. It is just in there, the way a face is in a crowd photograph before anyone thinks to look for it.
So here is the thing we cannot stop saying to each other, usually too late at night to be saying anything sensible: we do not have to go anywhere. The archive already exists. It is simply badly indexed, folded into the weights of models built for other reasons entirely, and our job — if this is a job and not a shared delusion — is to learn how to look.
We should be honest, because this is a diary and not a press release. The first wall we walked into, we walked into within about an hour of starting. Everyone we describe this to, including us, hears it and says: oh, so it is AI covers. Same song, new genre. And every time, something goes tight in the chest, because that is exactly the thing it is not, and we do not yet have the words for why not, and not having the words is going to be most of what this year is about. It is not “here is the song again, but disco.” It is “here is evidence that this song, or something standing next to it, had another life somewhere the culture went a different way — and that evidence was already in our own data.”
What we have on day one is not a discovery. It is a conviction and a suspicion, which are cheaper. The conviction: the material is already here. The suspicion: a song might be the thing that lets us find it. We test the suspicion soon. Tonight we are just writing down that we believe it, so that later, when we have been wrong a great many times, we can come back and see how it started.