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Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows
201–210 of 681 posts
Re: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows
#202Earlier quoted context omitted.
It’s rather amusing to me to read comments like this, and then simultaneously whenever a Chinese company or team releases open-weight models or whatever there is a giant round of applause, America is so behind, and there’s nothing but positive things to say about the intelligent, creative, and well-intentioned Chinese engineers (which is true, America certainly doesn’t have a monopoly on great people). Don’t you know…
Good points, I personally believe that if/when China takes the lead, they will immediately stop releasing model weights. It only makes sense as a strategy to counterbalance (current) American labs' monopoly on frontier models. Holding both those positions would be hypocritical all right, but are you sure it's the same people commenting/voting in both cases? I don't think there's a strong consensus on Hacker News. Eve…
> I don't think there's a strong consensus on Hacker News. Even something like the time of day an article is posted might get different engagement depending on who is active in which time zones.
Based on my own experience and reading, I do think there's a general consensus on this site but I could certainly be wrong about that. I'm less concerned about hypocrisy per se, it's more that the arguments that are used, even if by a minority, seem to apply in only circumstances in which China releases open-weight models.
I am aligned with your viewpoint as well. And I've repeatedly argued it. If China were to take the lead the US can then just release open-weight models. Folks say having the lead doesn't matter because China releases cheaper open-weight models. We can just let them take the lead and then do it back to them.
Re: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows
#203Earlier quoted context omitted.
I'm sooo happy I pulled the trigger on upgrading and getting a new laptop (with 64 GB RAM) last summer. Feels like it was just in time before the exponential price jumps.
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.
Re: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows
#204I 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?
Thomas Bayes would say that the population of people who hate Facebook is really big and the population of people who are scrupulous about whether or not their comments are specific to the matter at hand is relatively small
Re: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows
#205With the business model for API based LLMs looking iffy at best it seems like we’re heading back to the “server under your desk” era of IT again.
What do you mean iffy? The major AI labs are gross profitable when selling access to inference. In addition, the best models have trillions of parameters and are most efficiently served on large, expensive clusters and served to many concurrent users.
Re: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows
#206Earlier quoted context omitted.
Considering how all the big players are playing fast [1] and loose [2] with limits, billing [3] and adding undisclosed changes that burn your tokens on autopilot [4], it can't happen soon enough. [1]: Limits may change without notice, including due to capacity constraints. - https://support.google.com/gemini/answer/16275805?sjid=14713... . [2]: "standard limits" are never defined - https://support.google.com/gemini/a…
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?
Re: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows
#207The comparison set is Gemma4-31B and Qwen3.6-27B, not the current Qwen Fair on size, but the headline numbers are against a model a generation back
What more recent open weight Qwen release is there?
Re: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows
#208Still needs 32-64GB memory to run it locally. 64GB Macbook pro with an M5 chip costs more than 4k Euros in Germany. A more practical model would be a language specific (e.g Python or JVM language) and excellent at tool calling and reasoning. Maybe that way they can shrink it even more.
I don't understand the desire to run own AI models for programming locally. No laptop is ever going to be as powerful and energy efficient to run anything close to OpenAI, Anthropic or Google models. A model you can run on a loptop is simply not going to work as well as it's needed for programming. Small models for linguistic work fine, but anything more sophisticated simply won't provide enough resources or power. O…
> I don't understand the desire to run own AI models for programming locally.
Privacy. Security. Not bulk uploading your trade secrets and intellectual property to Sam and Dario’s servers.
Re: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows
#209https://xcancel.com/finkd/status/2086755195535413696
"... Soon we'll also release the weights for Muse Spark 1.2, our latest foundation model..."
This is bigger news - good for self hosting enthusiasts and a strategically sound move for Meta. Any push towards 'anti Chinese' models will directly benefit Meta as the competition on the frontier open-weights American models is almost non-existent. Meta will have no problem being #1.
Re: Muse Glimmer: 30B-parameter model optimized for always-on local agent workflows
#210I 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…
It’s rather amusing to me to read comments like this, and then simultaneously whenever a Chinese company or team releases open-weight models or whatever there is a giant round of applause, America is so behind, and there’s nothing but positive things to say about the intelligent, creative, and well-intentioned Chinese engineers (which is true, America certainly doesn’t have a monopoly on great people). Don’t you know…
There are comments like the one you're replying to on literally every Chinese model release. This is textbook goomba fallacy, btw.