Adam Leventhal

That is kind of like, that is one pole.

And then the other pole, of course, is like, no, no, these things are, like, you should never use them.

They shouldn't be used for anything.

They're, you know, et cetera, et cetera, et cetera.

Yes, which is part of the reason I think that the term will die with this, because I think the term is gonna be associated with that lack of curiosity, but yes, absolutely.

And there are domains in which that lack of curiosity may be okay, but other domains in which it's not.

So that's kind of the, those are the kind of the two poles.

And I think what we have, what we believe, what we've already seen,

is that there is a big, big, big middle ground.

And in particular, what we have seen is LLMs can actually be used to result in more rigorous engineering.

And it's actually not even that hard.

I think that there's... And I've got...

I've got some specific and recent experience.

Adam, maybe I could lead off with that before I introduce our colleagues.

So I have been exploring using Cloud Code to do kernel work.

We've got our host operating system is Helios.

It's an Illumos derivative.

And I had some like...

what I thought was a good, you know, you always have to want to have like a good first task for these things.

Just like when I picked up Rust, I wanted to find like the good, like what is the right thing to try Rust on?