https://huggingface.co/meta-models/Muse-Spark-Open-816B-A42B
https://9to5mac.com/2026/10/15/meta-launches-new-muse-spark-...
https://huggingface.co/meta-models/Muse-Spark-Open-816B-A42B
https://9to5mac.com/2026/10/15/meta-launches-new-muse-spark-...
They suggest a pair of Mac Studios w/ M5 Ultra chips and 512 GB of RAM. A single Mac Studio w/ M5 Ultra and half that RAM (256 GB) is around $11k, and the 512 GB option isn't even available yet. So.... yeah.
Zuck is doing the thing he's really good at, and building a moat around the network (Muse is VERY sticky), and now that we're all going to standardize on Meta's model, we're going to optimize the heck out of the infra to run the model making it cheaper for him to scale, thus bringing in more participants to his network, and thus making his network more valuable.
Meta is going to win consumer AI.
And based on what I'm seeing, it's far from even being in that category as a service yet. Seems like the OP is conflating seeing a bunch of Muse ads on Facebook with its presence as a competing frontier model.
I like the image of Muse and think a product like delivers what it promises to the consumer could be a hit but,,, this looks like something they rolled out in a hurry to take advantage of the FOMO of the uninformed and boost their stock price for a few months until reality catches up. They are a huge company and they could do something only a big company could do but no…
Like the real mass market product is not going to be a smart shell for a Mac it’s going to be cloud based. Like is it economic for your Mac to be sitting there running all the time when you are using 10%. The true believer say yes, the mass market says no. Is Apple going to let them put a skin on your Mac or is this a product that Apple will embrace and extinguish?
Wait read that again. Two 512GB, unreleased model M5s.
This is gonna cost like 50k to run at home.
But yes, still a massive amount of money and that's before we know the TPS or any other stats.
The usual effect of separate licensing is decreased price competition from public providers (like we saw with Kimi K3). I guess it's better for the providers if the price is fixed: any efficiency improvements directly improve margin rather than driving prices down over time. Still, to provide my own anecdata, the main thing keeping me on a paid subscription is token costs for the more capable models.
The nearest analogue would be "weights available", I guess.
Quite a lot of providers on OpenRouter run degraded or broken models. I think some is deliberate, but I think a lot is just providers not setting up models properly; especially with the rush to day zero models.
It's 100% possible, curious when will be the first incident.
Having something built by entity with HQ in the wester world is always a bit safer. That could be mistral, but they decided to be a consultancy company, not an ai lab.
Main difference seems to be that this one is cheaper/easier to host.
At the current market price of Apple Mac Studio Ultra, 30-core CPU + 64-core GPU w/ 256GB RAM is already reaching at around $10k. Keep in mind that computers are appreciating assets recently.
The 512GB RAM option is not even for sales yet (they said late October availability). Based on typical Apple pricing, it's likely to be around $14k apiece. So we are looking at least $28k - $30k for the setup Muse team is advertising. That's essentially the Nvidia H100 GPU w/ 96GB VRAM/HBM3 at up to 3.94 TB/second memory bandwidth, 3x+ than Mac Studio's Unified Memory speed.
Also, how did Meta get access to Apple's unreleased M5 Ultra w/512GB RAM Mac Studio? Or is that simply a marketing piece that they wrote purely on specs?
Also you are comparing apples to or— dang it, I don’t mean to do that in this thread. Well, it’s a very poor comparison, as they are completely different computing devices with completely different use cases, capabilities, and customer bases. Not to mention power requirements!
816B model, A42B active parameters
Unsloth and Meta have guides on how to run the model, but allow me to summarize You & Me won't be running this one.
Do not run, do not support, do not use.
PS: I might need to do a doom benchmark, that’d be fun https://playground.jeffyclassify.com/#doom
How has Meta responded? With a failed phone and speculative headset.
I guess their spin on Muse would be, by building the AI agent that Apple has shown it's nowhere near being able to build
From everything I've seen, they're all too large and dysfunctional to make a competent play in consumer AI. Anyone in there trying to work on it is too far removed from end product and is answering to too many masters.
Microsoft has completely lost the ability to make good software; see Microsoft Teams and what they've done to Windows 11. Apple don't have a foundation models team so they're limited to using other people's models, which handicaps them as they can't do vertical integration like with their other products. Google hasn't made a single competitive consumer product in the past decade, but has certainly killed a few.
Source?
Adjusting out stock-based compensation and non-cash expenses is absolutely fine for a company growing at the rate Anthropic is. The concern is more that they cherry picked a couple months when their expenses were abnormally low [1].
[1] https://www.wheresyoured.at/anthropics-profitability-swindle...
Also, as far as my own use goes, I found that the capabilities/price ratio of DeepSeek's offering is very hard to beat. It's really good enough so the thing that matters to me (besides table stakes like uptime, latency, etc.) is price at this point.
How, exactly?
Who's this "we" exactly?
In fact, we're going to see an explosion of the worst kind of AI model thanks to thinks mr Z thinks is in his best interest.
Remember, they had reports going back more than a decade about how they're harming children and destabilizing entire countries and as soon as Trumps in the whitehouse, they're licking boot.
People are going to say that it doesn’t matter if you’re the best. If Muse, Grokbot, and Dot are able to reach mass appeal, it doesn’t matter if a person using a custom harness is better.
I respectfully disagree. There is a big difference between someone that’s running a custom harness that’s almost like a personal OS versus someone using something out of the box. And if you’re for using this to run your business, think for yourself who’s going to win, the person customizing everything or the one using what the big corps give you.
That's not consumer AI though. The whole "vs out of the box" is pretty much the definition of consumer AI. People don't want to fiddle with things. That's why UX matters. SOTA only matters in consumer if it translates to the UX. And no one has landed that yet. Many are working on it.
So where is the ~$100B combined revenue for OpenAI and Anthropic coming from? Open weights models have been close enough to the frontier for over a year now, probably longer, yet the $$ shows no sign of shifting.
Can not find any info on inference speed.
It should be well known that Apple provides early access to developers under strict conditions. Otherwise, how do you think they announce new hardware not for sale, and show demos of third party apps taking advantage of such hardware?
The 512GB is obviously geared towards local LLM crowds. I'm just speculating, but I would be surprised if there's not at least a few devices with the 'ecosystem players' like LM Studio, Unsloth, etc. Of course, they'd never confirm nor deny :)
shinokami•1h ago