Top
Best
New

Posted by bvaldivielso 12 hours ago

Muse Spark 1.3(developer.meta.com)
https://research.meta.ai/blog/introducing-muse-spark-1-3
531 points | 360 commentspage 4
geooff_ 12 hours ago|
Could this be best intelligence / $ if you're willing to let zuck digest your data?
HDBaseT 8 hours ago||
By default, even without the training endpoint the pricing is pretty competitive, especially against Opus and Fable. [1] The 'muse-spark-1.3-contributor' endpoint is by far the cheapest, significantly cheaper per M than ChatGPT Luna, significantly smarter than Luna too.

This price/intelligence beats even legacy DeepSeek V4 Flash pricing.

[1] https://artificialanalysis.ai/#total-cost-tabs

oofbey 9 hours ago||
Yeah. Super icky. But this might be the first time in Zuck’s life he’s being honest about the business model.
israrkhan 6 hours ago||
it seems like gemini 3.8 flash is more capable and cheaper. The only reason i would use this is if i was willing to share my data with meta, and allow them to train on my data. In that case it becomes dirt cheap.
mromanuk 12 hours ago||
I didn't like 1.2, It make some mistakes in a web app, so I quickly went back to Claude, Kimi K3 or Deepseek V4. Hope this one can clear agentic development, because Muse Spark models are fast and cheap.
wkcheng 8 hours ago||
How do people actually use this? Do they use it through some sort of subscription plan, or via OpenRouter?
dv35z 8 hours ago|
You can check out Muse Spark 1.3 by using OpenCode (https://opencode.ai/ - open-source AI / coding harness). There's a terminal version and a GUI / desktop version. Good luck!
yanjunnf 7 hours ago||
It's true that there hasn't been any meta news about LLM for a while now
unsupp0rted 2 hours ago||
I'm annoyed my (US-bought) Meta glasses still block me from using the AI features, months after moving back to a country where it's generally enabled.
finnjohnsen2 12 hours ago||
So one model is "Not used to improve our products" and is 10-20 times more expensive to the "Used to improve our products"-model.

Given this is Meta, my immediate assumptions that one is cheap because it lets me "be the product". I know I'm rushing to conclusions but there is zero trust here. The brain will do its thing. And the wording here is giving the brains a lot of wiggle room.

duplessitous 11 hours ago||
What is the confusion? They directly state that you are the product if you use their discounted offering. It isn't an assumption that should lead you to this, it is Meta's very direct communication that should lead you to this
Jcampuzano2 12 hours ago|||
I'm confused what your surprise is here. It's plain and simple right to the point wording.

I don't see the wiggle room at all.

thefreeman 12 hours ago|||
aren't they explicitly saying this with both their pricing and their wording? I'm not sure what you are alluding to?
whimsicalism 12 hours ago|||
the meaning is pretty obvious - they want to train on your chats & tasks and are willing to subsidize for the privilege of doing so.
zhoBEENG 11 hours ago|||
Would it help you understand if they were labelled "For Dumb Fucks" and "For Everyone Else"?
K0balt 3 hours ago||
Which ones are the dumfuks? Because if what you’re doing is open source it’s going to be in the training data anyway.
r_lee 7 hours ago|||
they're doing the same thing as DeepSeek
warkdarrior 10 hours ago|||
Privacy is not free. They make it quite clear that they charge more if you don't want your data used by Meta.
IshKebab 11 hours ago|||
I think it's more that the "not used to improve our models" is expensive because companies need that. It's simple price differentiation.

In other words, it's not that Meta really wants your data and they're willing to pay top dollar for it. It's that companies really don't want Meta to have their data and they're willing to pay top dollar for that.

bigyabai 12 hours ago||
Given OpenAI and Anthropic's behavior, do you really expect them to be singled out for this practice? Zero trust has been in "LGTM" territory for years now. Meta's bet against people taking a principled stance arguably paid off great.
esafak 6 hours ago||
Funny how quickly Meta caught up after Lecun left.
ChrisArchitect 12 hours ago|
Blog post: https://research.meta.ai/blog/introducing-muse-spark-1-3 (https://news.ycombinator.com/item?id=49541149)
sunaookami 12 hours ago|
>Previously available reasoning modes are available today with max reasoning coming shortly after we finish additional safety testing

Lmao. And their benchmark table only shows max reasoning.

More comments...