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Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows

research.meta.ai

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Re: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows

#231

Post by bel8 »

skinfaxi wrote: post #120
avaer wrote: post #101

I lament the comments saying this in any way redeems Meta (the company). The researchers releasing this stuff have almost nothing to do with Meta other than being bankrolled by the slaughterhouse. You aren't the customer, you are the pawn in big tech's game of thrones. Your good will is a commodity to be traded, almost literally. It will be used against you the moment it's convenient. This is open weights because Met…

How is this non-sequitor the top comment?

It's trendy to hate on Meta just like it's trendy to handwave on Apple.

One can do no right regardless, the other can do no wrong.

At least in HN.

Re: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows

#232

Post by pettijohn »

_ache_ wrote: post #47

It is interesting but it does look like a careful distillation of (Spark and) biggers open-weight models. The progress compared to Qwen3.6 27B is good, not that impressive, it's a 4 months old model. (kuto to them to compare to 27B dense and not 35B MoE, it's more fair to do so). It is very probable that Qwen3.8 27B will crush Glimmer-30B on most benchmarks.

I'm so excited about these two new models. Qwen 3.6 27B has been my sweet spot so I cannot wait to try 3.8. Glimmer looks really strong, I'm encouraged that Meta compared it to 3.6 in the model card! Exciting times!

Re: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows

#233

Post by butlike »

Mistletoe wrote: post #68
formerly_proven wrote: post #60

Earlier quoted context omitted.

4K bucks buys you around 180 months of with zero upfront cost.

Haha wow. I’m trying to even imagine the AI landscape in 15 years and I can’t.

Instead of saying "I have a MBP with 64gb of RAM" you'll hear people say: "I'm subscribed to Model 9.x11B" and others will comment: "Oh dang, that's a nice model!"

Re: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows

#234

Post by cobertos »

mliker wrote: post #230
avaer wrote: post #101

I lament the comments saying this in any way redeems Meta (the company). The researchers releasing this stuff have almost nothing to do with Meta other than being bankrolled by the slaughterhouse. You aren't the customer, you are the pawn in big tech's game of thrones. Your good will is a commodity to be traded, almost literally. It will be used against you the moment it's convenient. This is open weights because Met…

You’re conflating the release of a local dense model that can benefit the ecosystem with the adverse effects of a digital ad system.

The latter bankrolled and continues to bankroll the former. It is not incorrect to conflate them.

Re: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows

#235

Post by ericmay »

tarr11 wrote: post #222
applfanboysbgon wrote: post #210

Earlier quoted context omitted.

There are comments like the one you're replying to on literally every Chinese model release. This is textbook goomba fallacy, btw.

Had to look this up. https://en.wiktionary.org/wiki/Goomba_fallacy

Not applied accurately with respect to my comment, but it is a funny one and also new to me in the naming.

Re: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows

#236

Post by xscott »

wolttam wrote: post #206
xscott wrote: post #132

Earlier quoted context omitted.

Not to mention all the other ways they can screw you: - Middle of the day, servers busy? Swap to Sonnet while pretending it's still Opus. Many people won't notice, and nobody can prove anything if they suspect. - Middle of the night, server load is light? Put it into extra thinky mode so it burns more tokens to ramp up the bills. Flip the switch where it gets really pedantic about writing lots of extra test cases and…

What areas do you think model capability will plateau in, and why?

I've got nothing but hand-waving, but after you've extracted all the smarts from every piece of text ever created, how do you get more?

Alpha Go had a game where the models could compete against each other. That let it become super human. What's the intelligence game we can create for LLMs? Even if you invent something, will it make the model smarter in a way the market values enough?

Then there's a race to use the weights more efficiently, or to offload information that shouldn't be in the weights in the first place (Karpathy's Cognitive Core). I like to imagine we train the models in something like Lojban, have a lightweight model translate from human language to that, and you can update the Sqlite or Postgres store it uses for knowledge.

And there's no barrier to entry for agent harnesses. So whatever loops or recursive orchestrated council of elders idea comes up, that won't protect the monopolies (duopolies).

Anyways, depending on your definitions, I think we'll hit AGI, but I don't think we're getting a Singularity this time around. Again though, this is all just hand-waving.

Re: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows

#237

Post by Maxious »

bentt wrote: post #65

Meta seems like the one American bigtech that would distill the the other American frontier models. My enemy’s enemy is my friend?

> Some have tried to frame distillation as harmful, but I think it is important to protect the principle that you can learn from anything you can observe.

- Mark Zuckerberg

https://www.meta.com/thefutureisforeveryone

Re: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows

#239

Post by xscott »

drob518 wrote: post #203
xscott wrote: post #162

Earlier quoted context omitted.

I kick myself a couple times a week for not getting the 512GB Mac Studio in February. I was holding out for an M4 or M5 chip...

I was about a week away from buying a very tricked out MacBook Pro with 128 GB RAM, but was on vacation and worried about it arriving while I was away, and then the price hikes went into effect. Grumble. Oh, well. Serves me right.

Lol, I still think about buying that now, even after the price hike. FOMO.
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