And Emily, are there particular ingredients that are kind of tricky to source for you, whether that's food products or otherwise?

Absolutely.

We've found the entire time that any of the meat products and any fresh produce that we wanna source is extremely difficult, just because we have standards for our products.

If it's not something we would personally cook for ourselves or our families, we don't really wanna use it here.

And with fresh produce, all the recalls that are happening, it's really tricky to be able to figure out where you're supposed to be buying that from.

So-

And as the business grows, what are your goals there? Are you looking toward scaling up and potentially growing? And if you are, is that something you think about in terms of maintaining quality and cost at the same time when you think about where you're getting your items from?

So we have discussed, my business partner and I, my dad and I, we have discussed that growing beyond the space that we're in really isn't in the cards for us, just because it would be so much harder to maintain the quality of our product.

And so that's why we don't want to get too specialized here because if we get too specialized, then we're going to miss out on the connections that AI could see that we can't.

Yeah, good.

So I think the idea that it was like an empirical question, like which models will do better at certain kinds of tasks, right? So again, I wasn't trying to say that a general purpose model in just by in virtue of being general purpose wouldn't be necessarily a good model that has low link uncertainty depending on other aspects of the model, right? So depending on the kind of training data, the way that it arrives at its outputs, and there are other ways in which we might reduce the link uncertainty there.

Yeah.

But I think what we also need to think about, though, is, well, what accuracy means in these contexts.

And that is often a value-laden question.

So there's always going to be these tradeoffs between false positives and false negatives.

How big is the threat? How imminent?

[laughs]

I mean, I, I'm a photographer.

I went to school for film, so science and everything on that side of the wor- like, in that world is not...

I don't know anything about it.

So she has told, told me and taught me so much about, um, so many things that I find interesting, like the circadian rhythm of it all.

I mean, I worked night shift sometimes in the restaurant industry, so I mean, it was very fascinating to me.

She taught me about, um, just, like, what else? Maybe, like, intermittent fasting, when that was kinda coming up, and just other little things that I found so interesting.

Like, what do you experience viscerally, like, like, in your body when you're doing the mantra? Like, is there something you can, like...