Fast-changing AI risks call for close government dialogue

Transcript

Transcribed by machine (Whisper) from the episode’s audio, so a word may be off here and there.

1. 58:30

   u.s have any role to play here do you think is this definitely like but do you want some kind of national framework do you like what do you think is the right approach because everyone The government's very much dealing with this right now. My theory on this is that I think one thing that is interesting and difficult is that it's evolving so quickly. So I think any kind of specific rigid framework that you put in place, there is a very high chance that it is sort of going to not be sufficient or out of date in a few months anyway.

2. 59:01

   So our approach, what we've just done, is just kind of partner pretty closely with the government. I think this is like an important technology. I think the government should know all the important training runs that are happening. We should work with the government proactively to make sure that they have an understanding of the capabilities that are coming. And to the extent that we can, we kind of help prepare for it.

3. 59:23

   And from that perspective, you know, I mean, look, whether there's a framework in place or not, I think that's the right thing for an American company to do is work with the American government closely. I think it actually ends up being way more effective because instead of having this, like, rigid framework for how you interact, it's like the reality is the challenges just end up being different right over time.

4. 59:44

   It's like, okay, now we have the cybersecurity challenges. Maybe in, you know, six months we'll have more bio-type challenges. Like, we need to make sure that we have the kind of trust and bandwidth of the communication that we have with all the different parts of the government on that to be able to address those. in a way that is actually the best for people, not just like checking some boxes on a process.

5. 1:00:05

   So I guess my- I mean, incentives that already exist, like if a model, the meta model got out and did a lot of damage, like you're going to be liable for that. And like the market's going to correct you, right? So there is that already. I think people discount that. Yeah. I also just think that there's been, I think Silicon Valley for the last maybe, I don't know, for a lot of maybe the last 15 years has had more of an arm's length relationship with the government.

6. 1:00:29

   Yeah. And I just think that this stuff is intersecting more with the economy, with security, with a lot of different things that I think are relevant in ways that I think you just want to have a closer partnership. So that's my own theory. I think, like, you could have a framework for kind of how this stuff works, or you could not. I'm sure over time there will be, like, more and more specific rules.

7. 1:00:55

   but my guess is that whatever that gets whatever there is um actually you know it's kind of like when you're setting up an org you don't really want to like like inside a company you're not trying to like ship the org chart of just having like one team do what it's supposed to do and another team do what it's supposed to do you kind of want to get the people to like like each other and work together so that way you don't have all these like weird seams and what you're doing um and i would guess that for how important ai and super intelligence are going to be for the world Um, you kind of just want a, like, good knowledge exchange and real trusted dialogue more than you want a specific process, is my guess.

8. 1:01:36

   But they're not mutually exclusive. So, and I'm like, I think that that's, but that's at least the part that I think we've been very focused on.