The fact that models aren't continually updating seems more like a feature. I want to know the model is exactly the same as it was the last time I used it. Any new information it needs can be stored in its context window or stored in a file to read the next it needs to access it.
Persistent memory through text in the context window is a hack/workaround.
And generally:
> I want to know the model is exactly the same as it was the last time I used it.
What exactly does that gain you, when the overall behavior is still stochastic?
But still, if it's important to you, you can get the same behavior by taking a model snapshot once we crack continuous learning.
Unless you use your oen local models then you don't even know when OpenAI or Anthropic tweaked the model less or more. One week it's a version x, next week it's a version y. Just like your operating system is continuously evolving with smaller patches of specific apps to whole new kernel version and new OS release.
> The fact that models aren't continually updating seems more like a feature.
I think this is true to some extent: we like our tools to be predictable. But we’ve already made one jump by going from deterministic programs to stochastic models. I am sure the moment a self-evolutive AI shows up that clears the "useful enough" threshold we’ll make that jump as well.