Evidence receipt / belief
Published · transcript-backedRyan Kidd: belief
4 Jan 2026 The Cognitive Revolution Building & Scaling the AI Safety Research Community, with Ryan Kidd of MATS
“I think Matt has to be pretty careful, in terms of obviously our 501c3 spending requirements for advocacy.”
Source trail
Everything needed to verify it.
- Speaker
- Ryan Kidd
- Attribution
- Verified speaker
- Claim type
- belief
- Recorded
- 4 Jan 2026
- Publisher
- The Cognitive Revolution
Transcript context
…Yes, I haven't seen it. Yes, so we are a 501 , so we have to keep our advocacy and stuff to a minimum. And I think a lot of Matt's strength is this impartial player. We're trying to be somewhat of a research university, tech accelerator kind of vibe. We don't want to play favors politically. That's not in anyone's interest. I think if people are doing that and they're trying to be the thing we are, they're doing a bad job. That said, I think currently, I believe David Kruger is going to be a mentor in the current program. And some of his research that he's going to be discussing is to do with, I guess, what sort of messaging and what sort of standards are actionable, right? But of course, I wouldn't say this is true advocacy. This is more masses supporting independent research, working with David Kruger, who has his new org, Evitable, not inevitable, Evitable, which is focused on some of these advocacy questions. I think Matt has to be pretty careful, in terms of obviously our 501c3 spending requirements for advocacy. We haven't spent anything on advocacy, for what it's worth. And also like, you know, ensuring this political neutrality. so that our fellows, our mentors, and all of our strategic partners just can feel assured that we are like, you know, we're solutions oriented, right? We are pushing for a particular outcome, right? And I think that AI safety being a political football is just a bad idea. And I applaud advocacy orgs, like in code and plenty of others, like, you know, perhaps CASE, et cetera, for their efforts to try and, you know, to, to, that's not, that's not mass as an organization. Yeah, gotcha. Toe in the water at most for now. Let's talk about the profiles. I both watched a talk of yours and read a blog post from about 18 months ago where you kind of sketch out the different archetypes of AI researcher that you have seen, and then also kind of map that onto the demands of organizations. And I don't know how much it's changed. in the last 18 months, if it all. But maybe give us the kind of baseline and then if there's any update, I'd love to hear how things are changing, especially, you know, I have in mind, of course, clawed code. And it may accelerate certain people. It may empower certain people to do things that they couldn't otherwise do. But yeah, tell us, first of all, how you organize your thinking about the kinds of people that you're bringing into the program.…
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