Yannis Antonoglou

I feel like ultimately it also boils down to what or how you define AGI.

And to us, like, you know, it is a system that can interact with a computer and it can actually do things that people can do on this computer.

And it's not something that, like, might... It might not be something that, you know, for other people, it's like a super scientist or, like, you know, something that kind of, like, understands everything.

And we have, like, a more...

maybe kind of like pragmatic kind of definition of like what AGI is.

So in order to just like build a system like that, I think that you can really go a long way with transformers.

You might get to a point where like you need to tweak your architecture or just like make adjustments to it.

But you know, it's not, I don't think that like we need to kind of like scratch everything and go back to square one.

Totally valid.

I mean, that's a, yeah, that's a really good question.

And I want to say that

The previous generation of technology was built on top of the protocols, like the internet protocols that were developed in the US.

And in a way, the US really shaped the infrastructure and the way that the internet operates at a global scale.

Even the fact that English is the language of the internet or the fact that the protocols have been defined by American companies and the biggest internet companies are actually out of the US.

So just being the place that defines the infrastructure layer of a new technology is extremely important.

And the only way to do that is by actually providing the open source solutions to that.

The internet is actually built on top of open source.

The most important packages, like the protocols, everything is open source.

And this is, I think, inherently important for any new technology.

And I think that the AI infrastructure layer will be built on top of open models.