Mark Zuckerberg

So we're going to

I've talked about a bunch of this stuff, but you'll have an assistant that you can talk to in WhatsApp.

I think in the future, every creator will have kind of an AI agent that can kind of act on their behalf, that their fans can talk to.

I want to get to the point where every small business basically has an AI agent that people can talk to to do commerce and customer support and things like that.

So there are going to be all these different things.

And

LAMA or the language model underlying this is basically gonna be the engine that powers that.

The reason to open source it is that, as we did with the first version, is that it basically,

unlocks a lot of innovation in the ecosystem will make our products better as well and also gives us a lot of valuable feedback on security and safety which is important for making this good but yeah i mean the the work that we're doing to advance the infrastructure it's um

it's basically at this point taking it beyond a research project into something which is ready to be kind of core infrastructure not only for our own products but um you know hopefully for for a lot of other things out there too do you think the llama or the language model underlying that version 2 will be open sourced your do you have internal debate around that the pros and cons and so on

This is, I mean, we were talking about the debates that we have internally and I think, um, I think the question is how to do it, right?

I mean, it's, I think we, you know, we, we did the research license for V1 and, and I think the, the, the big thing that we're, that we're thinking about is, is basically like, what's the, what's the right, the right way.

We released it as a research project for researchers to be able to use, but in doing so, we put it out there.

So we were very clear that anyone who uses the code and the weights doesn't have a commercial license to put into products.

And we've generally seen people respect that, right?

It's like you don't have...

any reputable companies that are basically trying to put this into their commercial products.

But yeah, but by sharing it with so many researchers, it did leave the building.

Yeah, well, I mean, I think a lot of the feedback, like I said, is just around, you know, different things around, you know, how do you fine tune models to make them more aligned and safer?

And you see all the different data recipes that, you know, you mentioned a lot of different