1. this is apparently MiniMax's "launch week" - they did M1 on Monday and Hailuo 2 on Tuesday (https://news.smol.ai/issues/25-06-16-chinese-models). remains to be seen if they can keep up the pace of model releases for the rest of this week - these 2 were big ones, they aren't yet known for much else beyond llm and video models. just watch https://x.com/MiniMax__AI for announcements.
2. minimax m1's tech report is worthwhile: https://github.com/MiniMax-AI/MiniMax-M1/blob/main/MiniMax_M... while they may not be the SOTA open weights model, they do make some very big/notable claims on lightning attention and their GRPO variant (CISPO).
(im unaffiliated, just sharing what ive learned so far since no comments have been made here yet
vintermann · 1h ago
"We publicly release MiniMax-M1 at this https url" in the arxiv paper, and it isn't a link to an empty repo!
I like these people already.
noelwelsh · 2h ago
A few thoughts:
* A Singapore based company, according to LinkedIn. There doesn't seem to be much of a barrier to entry to building a very good LLM.
* Open weight models + the development of Strix Halo / Ryzen AI Max makes me optimistic that running great LLMs locally will be relatively cheap in a few years.
manc_lad · 1h ago
It seems more and more like an inevitability we will run models locally. Exciting and concerning implications.
If anyone has any suggestions of people thinking about this space they respect, I'd love to listen to more ideas and thoughts on the developments.
noelwelsh · 1h ago
I think the main limitation, right now, is hardware. For GPUs the main limit is the VRAM available on consumer models. CPUs have plenty of memory but don't have the bandwidth or vector compute power for LLMs. This is why I think the Strix Halo is so exciting: it has bandwidth + compute power plus a lot of memory. It's not quite where it needs to be to replace a dedicated GPU, but in a few iterations it could be.
I'm interested in other opinions. I'm no expert on this stuff.
jb1991 · 57m ago
How does the shared memory model for GPUs on Apple Silicon factor into this? These are technically consumer grade and not very expensive, but they can offer a huge amount of memory since all the memory is shared between CPU and GPU, even a midtier machine can easily have 100 GB of GPU memory.
noelwelsh · 42m ago
If you squint the M4 is the same as the Strix Halo. Roughly:
* Double the bandwidth
* Half the compute
* Double the price for comparable memory (128GB)
I'm more interested in the AMD chips because of cost plus, while I have an Apple laptop, I do most of my work on a Linux desktop. So a killer AMD chip works better for me. If you don't mind paying the Apple tax then a Mac is a viable option. I'm not sure on the software side of LLMs on Apple Silicon but I cannot imagine it's unusable.
Apple has machines with 2x and about 3x the Strix Halo bandwidth by doubling up the memory buses. These get expensive though.
pantulis · 1h ago
Honest question: what is the concerning aspect to it?
rfoo · 2h ago
> A Singapore based company, according to LinkedIn
Nah, this is a Shanghai-based company.
diggan · 23m ago
No, they're based in Ireland.
Are we just saying stuff now? At least provide some sort of source if you're gonna say someone is wrong.
Deathmax · 2m ago
https://www.minimaxi.com is their website for the Chinese parent company 上海稀宇科技有限公司, https://minimax.io is their international website for the Singapore based company Nanonoble Pte Ltd that handles operations outside of China.
Wikipedia in itself is no source, and after reading parents message I went there to check to and surprise surprise, neither of the statements have sources attached to it. None of the linked articles have any information about where their headquarters is either.
If someone knows of a trustworthy article that states it outright, please feel free to share.
noelwelsh · 5m ago
I'm the OP who claimed it was Singaporean, after checking LinkedIn. I then found the Wikipedia page, which I posted above. Amongst the comments here there is also a link to a Bloomberg article about a potential IPO. I don't have a dog in the race. Just passing on what I found.
3. It's useful for people who may be interested in applying for jobs
spinningarrow · 28m ago
> It's conventional to do so
Where do you see that? e.g. I just checked https://openai.com/about/ and it doesn't say where they are based. I have no associations either way, but I usually have to work hard to find out where startups are based.
diggan · 27m ago
> 1. It's conventional to do so.
I can't say I remember any model/weights release including the nation where the authors happen to live or where the company is registered. Usually they include some details about what languages they've included to train on, and disclose some of their relationships, which you could use for inferring that from.
But is it really a convention to include the nation the company happen to be registered in, or where the authors live, in submitted papers? I think that'd stick out more to me, than a paper missing such a detail.
noelwelsh · 17m ago
OP said "official pages", which I took to mean the company website: https://www.minimax.io/ not the repo or the paper.
diggan · 8m ago
Ok, lets change the argument to "It's conventional for companies to publish what country they're located in on their project's page", which companies are doing this? Not even OpenAI or Anthropic are doing this as far as I can tell.
iLoveOncall · 29m ago
1. No it's not. Top GitHub repository from Google as an example: https://github.com/google/material-design-icons I think you'd actually be hard pressed to find a single repository where the company that owns it lists where they are registered.
2. This is a requirement for companies registered in the UK. You should also read your own link, it doesn't say anything about the company's presence on 3rd party websites.
3. This is such a remote reason it's laughable, there are plenty more things that are more relevant to potential job applications, such as whether they are hiring at all or not.
You just want them to mention it because it's a Chinese company. If they were American, Mexican, German or Zimbabwean you wouldn't give the slightest fuck.
Also, thanks for putting words in my mouth. If they were Mexican or Zimbabwean I would find it very interesting to see a roughly SOtA model coming from that country.
1. https://github.com/MiniMax-AI/MiniMax-M1/issues/2#issuecomme...
2. https://www.ebay.com/itm/335830302628
2. minimax m1's tech report is worthwhile: https://github.com/MiniMax-AI/MiniMax-M1/blob/main/MiniMax_M... while they may not be the SOTA open weights model, they do make some very big/notable claims on lightning attention and their GRPO variant (CISPO).
(im unaffiliated, just sharing what ive learned so far since no comments have been made here yet
I like these people already.
* A Singapore based company, according to LinkedIn. There doesn't seem to be much of a barrier to entry to building a very good LLM.
* Open weight models + the development of Strix Halo / Ryzen AI Max makes me optimistic that running great LLMs locally will be relatively cheap in a few years.
If anyone has any suggestions of people thinking about this space they respect, I'd love to listen to more ideas and thoughts on the developments.
I'm interested in other opinions. I'm no expert on this stuff.
* Double the bandwidth
* Half the compute
* Double the price for comparable memory (128GB)
I'm more interested in the AMD chips because of cost plus, while I have an Apple laptop, I do most of my work on a Linux desktop. So a killer AMD chip works better for me. If you don't mind paying the Apple tax then a Mac is a viable option. I'm not sure on the software side of LLMs on Apple Silicon but I cannot imagine it's unusable.
An example of desktop with the Strix Halo is the Framework desktop (AI Max+ 395 is the marketing name for the Strix Halo chip with the most juice): https://frame.work/gb/en/products/desktop-diy-amd-aimax300/c...
Nah, this is a Shanghai-based company.
Are we just saying stuff now? At least provide some sort of source if you're gonna say someone is wrong.
If someone knows of a trustworthy article that states it outright, please feel free to share.
https://www.bloomberg.com/news/articles/2025-06-18/alibaba-b...
They named themselves after a classic ai algorithm.
https://en.wikipedia.org/wiki/MiniMax_(company)
2. It's a legal requirement in some jurisdictions (e.g. https://www.gov.uk/running-a-limited-company/signs-stationer...)
3. It's useful for people who may be interested in applying for jobs
Where do you see that? e.g. I just checked https://openai.com/about/ and it doesn't say where they are based. I have no associations either way, but I usually have to work hard to find out where startups are based.
I can't say I remember any model/weights release including the nation where the authors happen to live or where the company is registered. Usually they include some details about what languages they've included to train on, and disclose some of their relationships, which you could use for inferring that from.
But is it really a convention to include the nation the company happen to be registered in, or where the authors live, in submitted papers? I think that'd stick out more to me, than a paper missing such a detail.
2. This is a requirement for companies registered in the UK. You should also read your own link, it doesn't say anything about the company's presence on 3rd party websites.
3. This is such a remote reason it's laughable, there are plenty more things that are more relevant to potential job applications, such as whether they are hiring at all or not.
You just want them to mention it because it's a Chinese company. If they were American, Mexican, German or Zimbabwean you wouldn't give the slightest fuck.
Also, thanks for putting words in my mouth. If they were Mexican or Zimbabwean I would find it very interesting to see a roughly SOtA model coming from that country.