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Quasar 438B: Europe's Leading AI Model

multiversecomputing.com

21–30 of 134 posts

Re: Quasar 438B: Europe's Leading AI Model

#21
post #16
post #3

As a European: I don’t care where an open weight model comes from.

That's a very limiting view of things. A model, even an open weight one, is never neutral, it is an encoding of a way of viewing the world . What kind of "alignment" are AI labs optimizing for? Ideological alignment is the full term, self-censored into something more technological-sounding. Every model has people behind it rating what it should and shouldn't say. Every time you ask a model and trust its answer, you b…

>I don't want my model to reflect the views of American oligarchs or Chinese cadres. I want European values of enlightenment and humanitarianism to be the default.

I don't want AI models to reflect any kind of values whatsoever. I have my own views - thank you - and I don't need other throwing their values in my face using AI.

I prefer AI models not being trained ideologically.

Re: Quasar 438B: Europe's Leading AI Model

#22
post #3

As a European: I don’t care where an open weight model comes from.

As a European, I do. I don’t envy the state that has to buy all its water and food from its aggressive, militarized neighbour.

> the state that has to buy all its water and food from its aggressive, militarized neighbour.

As a complete tangent, now imagine being a Canadian and realizing how much of your fresh fruits and vegetables come from the USA (or if from Mexico, through the USA).

Re: Quasar 438B: Europe's Leading AI Model

#23
post #3

As a European: I don’t care where an open weight model comes from.

Issue is that it is extremely hard to notice if there is backdoor or some training-related hallucinations that are completely random.

E.g. I had random, completely unrelated and irrelevant fetch by Qwen3.8 27B to " https://routify-file-proxy-sg.oss-ap-southeast-1.aliyuncs.co..." and I only noticed it because I have allowlist rules for what they can do.

Re: Quasar 438B: Europe's Leading AI Model

#24

I do not want open weight models from China to be the only viable locally hosted things (deepseek v4 flash 0731 Q8, qwen 3.8-flash-next Q8, GLM-5.3-Flash) in the under 200GB RAM class. I want to see things like Mistral and Laguna (non-CN) succeed. I have spent about a week using Laguna S 2.1 as a test and while I wasn't blown away by its capabilities, it's also totally acceptable for many purposes. I do hope these Qu…

I understood from informal chatter that researchers in the top Chinese labs are pretty open with sharing knowledge with each other. Additionally, it seems that anywhere between 30-50% of key researchers in the top US labs are ethnically Chinese. I wonder if this situation might give Chinese labs/researches some advantage just due to language and informal networks. Chinese researchers can understand all the English research, but research in Chinese is far less accessible to non-Chinese.

Re: Quasar 438B: Europe's Leading AI Model

#25
post #3

As a European: I don’t care where an open weight model comes from.

The problem is always the next model, or the one after. If china thinks it's beneficial to stop open weight releases, it will stop them. Then you are stranded on that one and no local industry to produce new models for you.

Re: Quasar 438B: Europe's Leading AI Model

#27
I wish for this company to have great models. I am glad to see such good scores.

I see they have a HuggingFace account[0] and they fine-tuned GPT-OSS, Nemotron, and Qwen, in the past under new names.

There are some things about it that make me worry though.

• They don't indicate the active parameter count, or indicate whether they pretrained the model. It could be a MiniMax M3 finetuning, as the parameter count almost matches (435B vs. 438B).

• They mention using quantum algorithms in other projects: https://multiversecomputing.com/singularity despite quantum algorithms not being typically useful currently.

It would not be the first company with a splashy release, like Brampton Intelligence[1], or SubQ[2]. Unlike those, they do seem to have experience fine-tuning models. Regardless of my worries, I am rooting for them to learn how to train models.

[0]: https://huggingface.co/MultiverseComputingCAI

[1]: https://x.com/newsystems_/status/1904577550690771050

[2]: https://subq.ai/introducing-subq

Re: Quasar 438B: Europe's Leading AI Model

#28
post #16

Earlier quoted context omitted.

That's a very limiting view of things. A model, even an open weight one, is never neutral, it is an encoding of a way of viewing the world . What kind of "alignment" are AI labs optimizing for? Ideological alignment is the full term, self-censored into something more technological-sounding. Every model has people behind it rating what it should and shouldn't say. Every time you ask a model and trust its answer, you b…

>I don't want my model to reflect the views of American oligarchs or Chinese cadres. I want European values of enlightenment and humanitarianism to be the default. I don't want AI models to reflect any kind of values whatsoever. I have my own views - thank you - and I don't need other throwing their values in my face using AI. I prefer AI models not being trained ideologically.

There is no unideological. There is no view from nowhere, what you perceive as unideological is precisely the reflection of your own ideology. The "unbiased" is just whatever matches your own bias.

To quote Zizek:

> I already am eating from the trashcan all the time. The name of this trashcan is ideology. The material force of ideology - makes me not see what I'm effectively eating. It's not only our reality which enslaves us. The tragedy of our predicament - when we are within ideology, is that - when we think that we escape it into our dreams - at that point we are within ideology.

Re: Quasar 438B: Europe's Leading AI Model

#29

Earlier quoted context omitted.

i mean qwen3.8 is a technical marvel

3.8-flash-next quantized in a "large" Q4 that just fits in 128GB RAM even more so, in how close it can get to state of the art in a number of benchmarks. Or a large Q8 version of it that fits in under 190GB. Competing against things that are closed weights/opaque information about the model and might very well be 600B+ in size.

it "fits" in 64 ram with mmap. granted it runs at 15 tk/s with a 9070xt but it runs

Re: Quasar 438B: Europe's Leading AI Model

#30

Earlier quoted context omitted.

3.8-flash-next quantized in a "large" Q4 that just fits in 128GB RAM even more so, in how close it can get to state of the art in a number of benchmarks. Or a large Q8 version of it that fits in under 190GB. Competing against things that are closed weights/opaque information about the model and might very well be 600B+ in size.

it "fits" in 64 ram with mmap. granted it runs at 15 tk/s with a 9070xt but it runs

Right, I meant "fits" in the sense of I can load the whole thing into some combination of system RAM and GPU at llama-server launch.

15 tk/s isn't useless if you can give it big tasks to do overnight, or like ask it to do something and check back 3-4 hours later.

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