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Discussion (73 Comments)Read Original on HackerNews
> At the heart of Multiverse's platform is CompactifAI, a compression technology that applies tensor networks, a mathematical framework from quantum physics, to the problem of AI model compression. This application was pioneered by co-founder and Chief Scientific Officer Dr. Román Orús and reduces the size of large language models by up to 80-95% with immaterial accuracy loss.
Ironic, considering they are releasing a 438B model that loses to a 27B one. From another part:
> Singularity Machine Learning is a cloud service that uses quantum machine learning for solving supervised learning problems.
I wouldn't be surprised if these guys just finetuned an open Chinese model and called it a day.
Easy enough to find out, ask it a whole bunch of questions about politically sensitive things that would be impossible to publish on CCTV, the Peoples Daily, CGTN, etc. If they didn't train the model and just fine tuned it, a lot of "don't talk about Tibet or the Dalai Lama or what happened in 1989" will be perma baked into it.
https://ibb.co/gLgFSV0J
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
Their bread and butter is to remove parameters from models [1] and I think this is GLM 5.2 with parameters removed. Its advertised in their changelog [2] as "capabilities are identical to GLM 5.2," it has the same two effort settings "high" and "max," and both are text only [3]. I might be wrong about this, but I would love to hear more about what they did before changing my mind.
Not the greatest fan of the marketing personally. Irrespective of what this model is.
[1]: https://multiversecomputing.com/compactifai/deployment
[2]: https://docs.compactif.ai/changelog/#added-3
[3]: https://docs.compactif.ai/features/multi-modality/#compatibi...
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 Quasar people learn that if you announce a new model and it already performs worse than things people can go download from huggingface, and/or buy access to with very cheap token plans via openrouter or opencode.. If your new model is API only and people can't download/examine it, it will get very little uptake and real world use.
I can see it as a niche market for european sovereignty stuff if absolutely necessary, hosted and run in Europe, sure. Same as Mistral. That's a niche which exists, there's probably enough room for a couple of modestly sized companies doing it... I guess?
Personal communication is of course different from official documentation, but a researcher who wants to establish a working relationship with Chinese colleagues could easily do so while communicating entirely in English.
It's not a small niche. Anything touching European resident personal data must only be done by Euro AI Act compliant AIs. So, hosted in Europe at least (unclear to me rn, would love to learn the exact criteria).
"Our customers particularly value us for pioneering open models. Open weights give them what mission-critical work demands: the ability to see inside a model, adapt it, and retain the intelligence they build with it. This is why we are enthusiastic contributors to the Open Secure AI Alliance and NVIDIA Nemotron Coalition. We are now extending that openness beyond our own models. Mistral’s platform will support third-party open models, starting with Z.ai’s GLM-5.2."
[August 11, 2026] https://mistral.ai/news/regional-inference-open-models-new-c...
I just got Qwen3.8-27B to score extra 10% on SWE Pro by adding a proxy in front of it that has few simple "harness like features": - when the model gets stuck it tells it to "go on" - when it sends no output, malformed json, slips to wrong tool use format, etc it asks it to "try again better" - detects repetition and tells the model. - injects a prompt about "planning tool use" when it seems to be using same tools repeatedly. - injects a reminder it can use tools if there are no tool uses for over X messages.
10% - with just that.
I have more to test. My point is, open weights models get tested on naked model quality. "Frontier" models get tested as a model + whatever secret sauce they choose to put in front.
For instance, I heard one of the Chinese models has some interesting "history" "facts" built into it. That's major, and can influence a lot more than just asking it for that particular history lesson.
I don't want just 1 LLM. I want a great LLM from every major region. I will probably still prefer my own region, but I still want the others to be an option.
EU models will also have such guard rails built in to "protect" the EU population from "misinformation" and uncomfortable facts and the EU elite don't want publicly known/discussed.
Like I saw a post from German EU MEP where they asked the internal on-prem AI they have there "how can you vote out out Ursula v.d. Leyen" an the AI basically answered "sorry I can't help you Dave".[1] Nice.
So given this and the authoritarian path the EU is taking with things like Chat-Control, I'll take Chinese AI censorship rules over EU AI censorship rules, since the former impacts me over here far less than the latter.
It will be like in the old days when my government would keep taking down local torrent sites/domains and piracy groups so the best ones to find Embedded and EDA tools were some Russian and Iranian ones or how we used to use Russian Yandex to find content that would get delisted from Google on copyright or privacy grounds.
[1] https://x.com/AndersonAfDMdEP/status/2072223785902633138
Comparisons between Chinese and western media control/censorship always strike me as somewhat ridiculous; This is like comparing Guantanamo Bay with the Soviet Gulag System: Yes both of those are unethical, but there's a factor of 1000 difference in scale.
Case in point: You can freely read about criticism like yours from anywhere in Europe (e.g. https://en.wikipedia.org/wiki/Democratic_legitimacy_of_the_E...), but all of Wikipedia is just blocked in China.
"We must proceed completely peacefully and deliberately, adapt if necessary and butter up the opponent [literally: smear honey on their mouths], but when we are finally ready, we will put them all against the wall. (...) Dig a pit, all in and quicklime on top."
-- Holger Arppe, former AfD Vice Chair [0]
"The worse Germany is doing, the better it is for the AfD. [...] Therefore we have to consider a tactic between: How bad can things get for Germany? And: How much can we provoke? [...] Because then the AfD does better. We can always just shoot them all later. That's not an issue at all. Or gas them, or however you want. I don't care!"
-- Christian Lüth, AfD Press spokesman [1]
"It doesn't matter, nothing will change, even if we were to eat chalk [act harmless]. Even if we said: yes, we are separating from X, Y and Z now and acting moderate here."
-- Hans-Christoph Berndt, AfD Brandenburg senate leader [2]
[0] https://taz.de/Frueherer-AfD-Fraktionsvize-verurteilt/!56167... [1] https://www.tagesspiegel.de/politik/afd-sprecher-wollte-fluc... [2] https://mik.brandenburg.de/sixcms/media.php/9/Einstufungsver...
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).
As with all of the EU's dependancies on Tech with the US, the idea of "I don't care where my DNS servers are" is starting to be an oversight.
But thanks for your opinion.
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.
if sovereignty is the goal, drop Microsoft, aws and adapt / develop open source / EU alternative.
once serious progress is made there, more resources can be redirected into AI after all it's already too late to join the race.
Having some knowledge about the training data is useful.
not being technically independent means you'll end up being a serf when American or Chinese companies decide that you don't have access anymore for geopolitical reasons
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 become ever-so-slightly ideologically indoctrinated.
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.
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.
It is my understanding that - sadly - the insane amount of copyrighted works and corporate crap is a prerequisite for having a corpus that is big enough
Their CMO's bio lists "20,000 'qualified' quantum AI contacts on linkedin" as the SECOND line in his bio.
"Business Management by ESADE. Co-Founder and CMO of Multiverse Computing. President, “barcelonaqbit-bqb”, 20,000 “qualified” quantum AI contacts on LinkedIn. VP of the AMETIC Innovation..."
Despite my doubts I applied to one of their positions a couple of years back only to receive a super late and generic "we are not moving forward" mail (I'd say I fit pretty damn well for the position, but it seems to be the new normal that most companies don't even want to chat with people 99% of the time).
Seems to be worded a bit strange, is "thinking time" referring to prompt processing or something? Otherwise "reasoning/thinking" is typically part of the returned tokens, at least for most non-OpenAI/non-Anthropic platforms, so you can see the actual reasoning. But here it seems either they word this weirdly, or "thinking" is somehow separate from the actual chat completion request?
It seems Europe is many years behind in tech. Maybe for AI models they are just a decade behind, but as far as producing hardware capable to run SOA models they lag tens of years.
I don't get what the issue is. Chinese labs fully publish how they make great models. Architecture is known, training methods are often very open. Why Europe just can't copy what they do?
I'm sorry, what?