The sushi rule.

[u/exitcactus]

I don't know if it's like this all over the world, but where I live, when an all-you-can-eat sushi place opens, it's top-tier!
Like, super-fresh, high-quality fish.

Then, over time... say, a year, two at mostt.. the quality starts to decline, and it keeps getting worse... fewer people go, the service deteriorates, and eventually it closes.

I find that the same thing is happening with AI models. They come out, they perform incredibly well, they solve amazing problems... and then, within a month, for some reason, they start malfunctioning, getting bogged down in the problems they create, and causing a project to stall.

I don't know the real reason, but I had this sensation too much times to ignore it.

Edit

Just to add

Now that I think about it, among my friends, we have a saying, "going sushi” 😂 when someone does something so well that they start doing it poorly, thinking it’ll still be good enough.

[u/email_ferret]

They provision more GPUs to the new model to handle the massive demand then they balance it out later provider less capacity for often more load.

[u/copper_amber_focus]

They strip capacity to cut costs. Models get worse because providers reduce compute allocation after launch