I mean, that's fair, I guess what I mean is, it feels like we're re-using well known solutions even if it takes a bit of effort to re-apply them into how we run inference (and maybe training as well). It will be interesting to see a lot of these approaches compound into anyone with a reasonable GPU or even a Mac running a model much larger than their machine can handle.