Zuzanna Stamirowska

So we literally have a random dragon names generator.

You actually hit something here as well, because part of why we venture towards dragons at all is that, well, this is a mythical creature, right?

Yeah.

That nobody believed it could exist.

This is where, okay, we're in the business of building dragons.

So I think it was a realization we had very early on.

And indeed, we're talking about continual learning, in time, long horizon reasoning.

and adaptation over time, right?

To new data, new learnings, et cetera.

So the way it works, it's actually a bit like a brain that works on silicon.

So a bit like a brain, I mean, there's a concept, this is very nerdy, the concept called Hebbian learning, like a very simple principles of how the brain works.

I guess you can imagine that the brain has neurons, which are like little cells, right?

And then connections between neurons, which are synapses.

And this is kind of how we have kind of dots are like neurons and then links between the neurons.

And this is like a big network.

that we have in our heads.

And this is a very simple model because, you know, somebody who's like a neuroscientist or a biologist would say, well, yeah, but you have all those chemical reactions, all this and that.

I mean, here we're really just looking at the very stripped down, very basic, very simple, you know, structure.

Like, we know that birds fly and they have wings, right?

We don't need to know how they've really, like,