Ryan Kidd

So we consult the very best people as much as we possibly can, right?

And we try to like, yeah, we build our own opinions, but we don't rely on them, right?

We try and consult experts every stage.

The paper or blog post you're mentioning, which was called Talent Needs of Technical AI Safety Teams, to construct that, we surveyed like 31 different lab leads and hiring managers, whoever we could get, like the most senior person we could get related to safety at every AI safety org we could find that was like hiring at that time.

And we asked them, what do you need?

And then we compiled all that survey, all those interview notes, into three archetypes.

This is just technical.

We've since done this for governance.

Expect that to drop soon.

So those three archetypes were connectors, iterators, and amplifiers.

So we chose the term connector because these people are bridging gaps between theoretical arguments for AI safety and theoretical techniques to make AI safe.

and the empirical techniques to actually make it happen.

So they're sort of like spawning new empirical paradigms to work on.

No one is hiring these people.

It's pretty rare, because if you're good at that, then everyone knows your name, and you're already hired.

Perhaps you're already leading an organization.

And everyone wants to be an ideas guy, but very few people want to hire ideas guys.

And these people typically, it's people like

Buck Shledgeris, AI Control, Paul Cristiano, just a huge amount of resources he's produced and so on.

You know these people, right?