> Muse Spark is available today at meta.ai and the Meta AI app. We’re opening a private API preview to select users.

Sarcasm aside, tried it (with instant mode), it's an impressive model.

It nailed all the ChatGPT meme gotchas (walk to the carwash, Alice 50 brothers, upside down cup, R's in strawberry, which number is bigger, 9.11 or 9.9?)

I guess all that money poaching OpenAI / Anthropic talent went somewhere...

Now, would I use "Meta Muse Code" or "Muse CoWork" if I have to have a facebook account to all of my developers? Maybe not.

Would I use it via an API key? I might, depends on the pricing!

Saying nothing about the actual performance of this model, it does strike me how .... minimal(?) this announcement is. Their safety section is like 2 paragraphs about bioweapons. Go look at the reports for OpenAI and Anthropic's model releases. It's like 50+ pages of tests, examples, reports, and benchmarks across a bunch of safety and wellfare metrics.

If Meta wants to be seen as a cutting edge massive lab they need to come across as one instead of looking like a school project version of a frontier model.

Sounds like a good effort. They are choosing to focus on multi-modality - perhaps they are taking a different route here to Anthropic.

I don't like that I need to login to my FB/Instagram account to access this.

Benchmarks are meaningless until the pelican benchmark comes out: https://simonwillison.net/

Can't login. No error message in the UI. But the URL changes to "https://www.meta.ai/?error=Token%20exchange%20failed".

Personal Superintelligence made me think this was an open-source model being released and I was excited. Then I continued reading and I'll just wait until the model comes out.

I am already somewhat concerned with companies like Anthropic and especially OpenAI having personal data via chats. Typing that sort of information into a Meta AI product feels completely irresponsible. You could make some very sophisticated ads/psyop attacks with data from daily ai chats.

I doubt its better than Opus and even if it was its not worth the privacy concerns.

Kinda crazy, it really felt like Meta had the lead in LLMs, especially during the early LLaMa days. What happened for them to fall so far behind? I don’t get how LLaMa 4 was such a big train wreck and they couldn’t correct the course like Google.

Oh good, if they built a lab, I’m sure they took the time the precisely define what they mean by super intelligence? Right? …