Jaden Schaefer

So it's a good showing, right?

Meta's sort of in the races still, but I would say they're not really because...

You know, when they're like, hey, we came up with a new model, and it's number four out of like, like, basically, what's happening is every three months, what the top lab comes out with their newest model, and it beats everyone in the benchmarks, and they can take a victory lap and say, I'm the best, right.

And we saw this, it's not just, you know, Anthropic and OpenAI and Google, like Grok is also in the mix, too.

So somewhere between those four models, they're constantly kind of beating each other.

And so if Meta comes out and is like, hey, look, guys, we're number four, like what, maybe they slightly better than Grok and behind OpenAI, Anthropic and Meta, it's just like, yes, they could get integrated into all of the Meta kind of, you know, WhatsApp and Instagram and Facebook, they get some users from that, but it's not like any can be anyone's go to model.

So, yeah, I mean, I think they're pushing forward, but it's not that impressive.

What I do think is really interesting, though, is MuseSpark is a closed model.

So this is a huge pivot from Meta's kind of Lama strategy, which they were really aggressively open source for years.

Lama is one of the most important things to happen to the open source AI community.

And I think now Meta is going in the opposite direction.

So the model's design and code isn't going to be made public.

I think it tells us a couple things.

Number one, Meta clearly believes that they need a competitive closed model to keep up with OpenAI and Anthropic kind of at the frontier.

Because in the past when they were doing all the open source, they were like, look, our model's not quite as good, but it's open source and, well, sort of open.

It's like open weights or whatever they were calling it.

And they're like, yeah, you can like run it on your own computer and stuff.

And that was cool.

That did have a big draw.

A lot of people that didn't want to have to pay to run these models were grabbing it or hosting it.