Mark Zuckerberg
π€ SpeakerAppearances Over Time
Podcast Appearances
So that's part of the deal that we have is that we can get, if you're one of the top AI researchers in the world and come here, you can get access to kind of industry scale infrastructure.
And part of our ethos is that we want to share what's invented broadly.
We do that with a lot of the different AI tools that we create.
And Lama is the language model that our research team made.
And, you know, we did a limited open source release for it, right, which was intended for researchers to be able to use it.
But responsibility and getting safety right on these is very important.
So we didn't think that... For the first one, there were a bunch of questions around whether we should be releasing this commercially.
So we kind of punted on that for V1 of Llama and just released it from research.
Now, obviously, by releasing it for research...
you know, it's out there, but companies know that they're not supposed to kind of put it into commercial releases.
And we're working on the follow-up models for this and thinking through how exactly this should work for follow-on now that we've had time to work on a lot more of the safety and the pieces around that.
But overall, I mean, this is, I just kind of think that it would be good
if there were a lot of different folks who had the ability to build state-of-the-art technology here you know it's in not just a small number of of big companies where to train one of these ai models the state-of-the-art models is um
you know, just takes, you know, hundreds of millions of dollars of infrastructure, right?
So there are not that many organizations in the world, um, that can do that at the biggest scale today.
And now it gets, it gets more efficient every day.
So, um, so I, I do think that that will be available to more folks over time, but, but I just think like there's, there's all this innovation out there that people can create.
And, um,
I just think that we'll also learn a lot by seeing what the whole community of students and hackers and startups and different folks build with this.
That's been how we've approached this.