Zuzanna Stamirowska

Okay.

And then, and then second thing is that you don't fire up the entire model every time, but you fire up all need those guys who are connected and who care.

And for most cases, you, yeah, you don't fire up the entire brain.

I guess when you fire up the entire, like, I don't know how much brain people are using, but I mean...

Small percentage, right?

Yeah.

At any time.

But that's exactly the point.

Why would you be using the full thing?

Not for every task, right?

Exactly.

You may have some that are more specialized in something.

Cool thing, however, like with our heads, what we're not capable of doing is that we cannot exactly glue two braids together.

It would be very difficult.

And with those models right now, since they scale only with number of neurons, so there's just this one dimension, so something we're showing in the paper, we can actually glue two separately trained models together fairly easily.

And they become one.

Ooh.

So we showed in the paper, we have like one model trained in one language, the other one trained in another language.

We just put them together even without leaving them, you know, to train a bit.

They actually start producing sentences that mix up the two languages pretty well.