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Muse Spark: Scaling towards personal superintelligence

ai.meta.com

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Re: Muse Spark: Scaling towards personal superintelligence

#71

Post by tempaccount420 »

meetpateltech wrote: post #10
moab wrote: post #2

"Muse Spark is available now, and Contemplating mode will be rolling out gradually in meta.ai." How does one get their hands on these models? They are not open-source, right? I go to meta.ai, but it's just a chat interface---no equivalent to codex or claud code? Can you use this through OpenCode? Is meta charging for model access, or is the gathering of chat data a sufficiently large tithe?

"It will be available in private preview via API to select partners, and we hope to open-source future versions of the model." from Facebook Newsroom: https://about.fb.com/news/2026/04/introducing-muse-spark-met...

I can't think of any "select partners" that would want to use this non-SOTA model. Just put it on OpenRouter.

Re: Muse Spark: Scaling towards personal superintelligence

#72

Post by coffeebeqn »

throwaw12 wrote: post #35

How is that Meta spent so much money for talent and hardware, but the model barely matches Opus 4.6? Especially, looking at these numbers after Claude Mythos, feels like either Anthropic has some secret sauce, or everyone else is dumber compared to the talent Anthropic has

Matching Opus 4.6 would be pretty good? It’s the SOTA actually available model

Re: Muse Spark: Scaling towards personal superintelligence

#73

Post by coder68 »

throwaw12 wrote: post #56
zozbot234 wrote: post #42

Earlier quoted context omitted.

> has some secret sauce Yup, it's called test-time compute. Mythos is described as plenty slower than Opus, enough to seriously annoy users trying to use it for quick-feedback-loop agentic work. It is most properly compared with GPT Pro, Gemini DeepThink or this latest model's "Contemplating" mode. Otherwise you're just not comparing like for like.

> it's called test-time compute. Why can't others easily replicate it?

I have not delved into the theory yet but it seems that the smaller open-source models do this already to an extent. They have less parameters, but spend much more time/tokens reasoning, as a way to close the performance gap. If you look at "tokens per problem" on https://swe-rebench.com/ it seems to be the case at least.

Re: Muse Spark: Scaling towards personal superintelligence

#74

Post by solenoid0937 »

zozbot234 wrote: post #61
solenoid0937 wrote: post #53

Earlier quoted context omitted.

Mythos is a much bigger pre train, Contemplating is not the same thing.

> Mythos is a much bigger pre train Do we have data to substantiate that claim?

It's pretty common knowledge. Spud is the only other PT comparable with Mythos.

Both Spud and Mythos can also scale via inference time compute.

Meta simply did not have enough compute online, long enough ago, to have a similar PT.

Re: Muse Spark: Scaling towards personal superintelligence

#75

Post by observationist »

dgellow wrote: post #22
gallerdude wrote: post #14

This would have been an amazing release 6 months ago. But the industry moves so fast, this is a trite release. Maybe it’s best for Meta to sell their superintelligence division. I don’t think Zuck’s vision is particularly compelling.

I never understood why meta decided to join the race. They don’t sell compute like Google or Microsoft. Why not let others do the hard work and integrate their LLMs in your systems if needed? I assume it’s because they have Instagram, Facebook, WhatsApp, Thread data and feel they should be the ones using them for training, but it’s really not obvious how having a frontier AI lab benefits their business

Adtech Money. They've got GPUs, they've got the infrastructure, and they've got the advertisement platform, and the point is getting AI that can exploit the adtech and create a flywheel effect, maximizing return from the data they collect from Insta, WhatsApp, Facebook, etc.

It's not just about LLMs, it's about being able to model consumers and markets and psychology and so on. Meta is also big in the manipulation side of things, any sort of cynical technological exploitation of humans you can imagine but that is technically legal, they're doing it for profit.

Re: Muse Spark: Scaling towards personal superintelligence

#76

Post by solenoid0937 »

throwaw12 wrote: post #50
solenoid0937 wrote: post #45

Earlier quoted context omitted.

It's benchmaxxed. If they actually matched Opus 4.6 on such a short timeline, it would have been mighty impressive. (Keep in mind this is a new lab and they are prohibited from doing distills.)

how do you know it's benchmaxxed?

Friends at Meta with access to the model + personal experience at Meta.

Meta's performance process is essentially "show good numbers or you're out." So guess what people do when they don't have good numbers? They fudge them. Happens all across the company.

Re: Muse Spark: Scaling towards personal superintelligence

#77

Post by lairv »

gallerdude wrote: post #24
gordonhart wrote: post #17

Earlier quoted context omitted.

A new model comparable (ish) to the Claude/Gemini/GPT flagships is a big deal for the industry and for Meta even if it doesn't set the new frontier.

I’m not sure. If it was open source, certainly. But 4th place doesn’t really matter if you have nothing different to add.

If the model is truly on par with Opus 4.6/Gemini 3.1/GPT 5.4 (beyond benchmarks) this still puts MSL in the frontier lab category, which is no small feat given that they pretty much rebooted last year

Many labs aren't able to keep up with the frontier, xAI, Mistral

Re: Muse Spark: Scaling towards personal superintelligence

#78

Post by throwaw12 »

xnx wrote: post #62
throwaw12 wrote: post #36

Earlier quoted context omitted.

> I don’t think Zuck’s vision is particularly compelling. But he has to do it anyways, otherwise Meta can be disrupted easily. Google, Apple has hardware, distribution channels for their products Amazon has the marketplace and cloud Microsoft has enterprise and cloud Meta is always looking for ways to stay afloat

Meta has 3.5 billion daily active users

and has competitors like: TikTok, SnapChat, YouTube, Netflix, X, HBO, Amazon Prime, all fighting for the attention time.

They are worried something like Sora can disrupt them quickly

Re: Muse Spark: Scaling towards personal superintelligence

#79

Post by giancarlostoro »

tempaccount420 wrote: post #71
meetpateltech wrote: post #10

Earlier quoted context omitted.

"It will be available in private preview via API to select partners, and we hope to open-source future versions of the model." from Facebook Newsroom: https://about.fb.com/news/2026/04/introducing-muse-spark-met...

I can't think of any "select partners" that would want to use this non-SOTA model. Just put it on OpenRouter.

If Microsoft is a select partner, maybe they could shove it into Copilot for VS or something, but yeah, I'm wondering the same, maybe Apple could be one of their partners too?

Re: Muse Spark: Scaling towards personal superintelligence

#80

Post by captn3m0 »

ehutch79 wrote: post #67

How's the metaverse doing? It was the next big thing and how we're all going to be working inside it in... was it like 3 months ago? Maybe they need to mine more libra coin first? or is it diem now? is that even still part of meta? I'm sure this new AI is super intelligent and super awesome and will be writing all the code, making all the blog posts, and generating all our youtube shorts in 6 months.

Libra/Diem got sold to the bank they were partnering with (Silvergate) for $200M, which then filed for Bankruptcy.

https://en.wikipedia.org/wiki/Diem_(digital_currency)

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