How does this explain open weights? They could easily take the same closed route like their American friends
So it seems like it's very important to them that people use the Qwen app and they're willing to pay a lot of money for that. Presumably someone thought that keeping their best models closed would drive more business to them (as the sole provider) but then they discovered that closed releases mostly get ignored unless they're really good. (See also: People who think that Chinese AI companies are required to release weights as a matter of policy, because the closed ones hardly ever show up in the news.) Releasing weights for Qwen 3.8 at least lets them get some of that "pretty good for the price of free" media buzz.
But I'd assume that they're preparing for some sort of winner-take-all market in model quality where if they don't do anything the winner will be aggressive, hostile and American. Likely trying to push the Chinese economy back to the year 2000. If that is the starting point either the Chinese have to win the market (unlikely) or squeeze the profit out of it to make winning the market meaningless.
Publishing high quality open models is a well known tactic for profit squeezing. Being 2nd place with the same business model as the front-runner is a losing strategy in a winner-take-all market so they aren't going to bother with that. But if they can commoditize the model, their superior energy costs and likely coming chip manufacturing wave will hopefully give them a big advantage.
To summarize, in the 70s and 80s, China was facing an existential threat with their inability to access an economic accelerator (widespread computing) in their native language.
To the extent that there was serious consideration at the highest levels of converting the entire country to an alphabet-based writing system.
I'd expect they're looking at AI the same way:
We have to have access to this. Most of the frontier labs are American (or European). Therefore we need a solution we have continued access to.
Open weights feels simultaneously Chinese in nature (progress through making a design copyable and improvable by a large number of people) and economic (providing an incentive for the world to use Chinese models over other frontier).
Because they are playing the Americans at their own game.
What is the first thing an American company would do ?
Spread the old American classic FUD ... "you can't used this closed tool because its run by the communists", right ?
So you release it as open weights which is a win-win. Global adoption of the model and you get to give the American AI companies a kick in the nuts because you know they will never release open weights apart from highly quantised crippled shit.
The Chinese are also playing the long game. The gradual rebalancing of the world from the US-centric model of the past. If releasing models as open weights is part of that long game, then so be it.
Now? I don’t even know or care about what the latest iPhones have, I’ll get a new one when mine breaks.
IMHO no.
I think it is relatively safe to say that the predominant reason the US labs are closed source is so they can hype up their trillion-dollar valuations on pretty much negative return on capital employed, all propped up by fragile circular financing.
Never say never, of course. But I just don't see it happening any time soon.
Uber spent a decade undermining taxis, and once it had market share, it stopped giving away rides and raised prices. It now costs more than a regular taxi, with the quality of the ride being... At best proportionate to the premium in price.
If I'm not willing to wait 20 minutes, I'll be paying an extra $5 minimum.
These rates also go up during busy times.
Looking at Lyft, that same trip is $29, without a wait.
A trip from downtown to SeaTac is $61. Yellow Cab does that same trip for $40.
And on top of that, it's a perfect opportunity to include poisoned training data or excluding it. You know, omitting anything about Tiananmen Square, China's genocides against Uyghurs and Tibetans, or including texts propagandizing for the "reunification" (aka, annexation) of Taiwan.
And everyone who builds something like an interactive chatbot based on such "open weights" models now has a subtle chance of the answer being ideologically poisoned by the CCP.
We need actual open source, not "open weights" scam.
I am not Chinese and I'm not defending the Chinese, but I see this argument come up a lot.
The hard reality is that what you say is simply not going to affect 99.9999999999% of users.
Is it realistically going to affect anyone using an LLM in coding ? No.
Is it realistically going to affect anyone using an LLM in $anything_else_not_politically_sensitive ? No.
Does anyone seriously use LLMs for researching politically sensitive matters ? No.
The US does not exactly have an entirely pristine history either. Shall we discuss the post-9-11 related infrastructure of Guantanamo Bay ? Or the "Detention and Interrogation Program" that included a network of clandestine extrajudicial detention centres, officially known as "black sites"[1]?
Or maybe you would like to discuss the US supply of weapons for use in Gaza ?
Linking a US website discussing the topic doesn't exactly support your point.
It supports my point precisely. Recall I also said "Does anyone seriously use LLMs for researching politically sensitive matters ? No.".
Just as there is plenty of information out there on the US's less than perfect history, there is also plenty of information out there on the various Chinese politically sensitive matters. You do not need a Chinese LLM to find out about it, all you need is a search engine.
The point is you have an open-weights LLM that is very good for a vast number of non-political uses, such as coding.
The point is that you can use the open-weights model instead of paying through the nose for a US model where they harvest your data unless you have an "enterprise" zero-data retention "trust me dude" clause that you have no viable way of verifying – and which incidentally is still subject to the good old "law, or court or administrative order" contract clauses, so it may not be as much of a zero-data retention as you think it is.
Ironically, Chinese models have the most uncensored versions available for download. Fairly sure they own the porn market.
It's the subtle topics that we should be concerned about, and double so with closed models where even if oddities are identified they are harder to research further and impossible to fix.
I wasn't saying anything about what Americans would think.
I was saying about what they would inevitably be told by US politicians and by US AI companies.
If you were a sales-rep or marketeer at a US AI company, I bet you would be using the old "evil communists" routine in relation to any closed Chinese model.
I was saying that by releasing as open weights, the company has removed that line of argument.
Clearly I was a bit broad in my use of "the Chinese" when in this case it was, as you say, a Chinese company.
This isn't really anything nee and I thought it was common knowledge by now.
The point of me bringing that up is to say that what follows is really just my best guess:
If I were to judge from China’s approach to hardware, I think that the companies releasing open weight AI for free aren’t as worried about giving away too much as the West tends to be, just like a factory making robot vacuums isn’t worried about other factories copying their methods.
For one thing, Chinese firms are spending an order of magnitude or two less money training their models. They have pursued efficiency in a way that Western companies with insane capital systems haven’t bothered, and in some cases they’ve had to given their limited access to bleeding edge hardware via export restrictions.
My best guess is that more important than that, Chinese companies don’t see the open weight model itself as the value add.
At this point I don’t think we pay for Claude specifically for the model. If that was the case then we’d all be using cheaper/free models from China as they are the best model value. Basically, any time we decide not to use Fable or Opus to save costs, what’s the point of spending more than competing models to use Sonnet and Haiku?
The real reason we are using Claude is for the SaaS aspect of it. It has a toolchain, a friendly interface, and a bunch of integrations with business applications.
In this respect, it’s somewhat surprising that Western AI companies don’t publish open weight models more frequently. The struggle of setting that up yourself and figuring out which hardware can run it should be an advertisement for Claude and the rest.
That is a very thin moat, though. There's nothing you can do with, for example, Claude Code + Opus 4.8 that you can't do with your own custom harness running API-level Opus 4.8, which means that if you can afford the hardware (the moat for running any SOTA model) you don't need to pay Anthropic anymore.
I'm not saying they shouldn't, but I understand why they don't.