It’s a lot less surprising when you understand the tactic of economic dumping, which China has used for years to attack industry front-runners: https://en.wikipedia.org/wiki/Dumping_(pricing_policy)
They’re not giving away the models because they love freedom and want to generously offer gifts to the world. They’re doing it as a way to undermine the industry leaders and attract people to their brands.
I'm not seeing a problem here; don't all companies have this goal?
Economic dumping is a specific scenario where one country tries to flood another country with cheap products in a way that usually has some government involvement subsidizing or incentivizing it. Countries are careful to hide these incentives or subsidies when possible because it's an invitation to trade wars. For China specifically, the state takes ownership positions in companies and has no problem forcing companies in the direction they want.
Gmail, and every other free service would like a word. Net tangential profit invalidates your point. They can loss lead LLM's forever if they are getting other economic benefit from the practice
When West does same, it is capitalism for the prosperity of everyone, healthy competition
In any case I find the dumping argument stupid: they are giving both the model weights away and publishing in the open their results and how they got there.
Isn't that just how competition works? Codex and Claude are both widely speculated to be sold at a loss (at least compared to API pricing), so why isn't their tactic also considered dumping? OpenAI and Anthropic aren't stealing IP and subsidizing model inference because they love freedom either. They're doing it to undermine industry competitors and attract people to their brands.
The US government deliberately chased a strategy of denying China access to powerful Nvidia hardware. Shipping efficient and cheap LLMs is their only option, just like Jensen Huang warned would happen. And now that China's smaller models are reaching the frontier, everyone cries foul.
It's more likely that the API prices are highly profitable. I could see the subscription plans losing them money for some power users who actually use 100% every week, but given my past experience with subscription products I would estimate that their average utilization is far, far lower than in those comparisons where people take the tokens produced by exhausting the plan 100% and then compare to hypothetical API pricing.
As for economic dumping: The crucial difference is that there's usually some geopolitical influence happening, like government subsidies, incentives, or the government simply owning the companies directly and weaponizing their output even if the company runs at a loss.
But we hear this "dumping" argument quite often for seemingly arbitrary purposes. Is it "dumping" to sell cheap STM-32 clones when Arm LTD. won't let you buy a license? Is it "dumping" to sell $20,000 EVs to a nation that can barely build $30,000 EVs with federal and state subsidies? In many respects, China's cheap stuff is just better-suited to the global economy than America's high-margin products. If both countries are leveraging federal protectionism to promote and develop their products, it doesn't feel like State Owned Enterprises are on unfair footing compared to SpaceX or OpenAI.
If China wants to sell Solar panels to Americans, they can just sell solar panels, the sun won't mind. If China wants to sell models to Americans... well, Americans don't want to send their data to China, so they can't just offer them as SaaS. They don't want to be left behind in the AI race either. The only option to capture western mindshare is to do what they've always done, use Chinese taxpayers' money to subsidize model development, make American labs uncompetitive, make them go bankrupt, then have control over the entire sector.
Releasing the weights of a software project on modelscope and huggingface and similar (and I'm sure they'd find a new way to distribute it for an English language audience if huggingface vanished tomorrow as well) is totally different, because there's no tangible hardware product involved.
Erlich Bachman: Jian-Yang, what're you doing? This is Palo Alto. People are lunatics about smoking here. We don't enjoy all the freedoms that you have in China.
With HF bought as well, I wouldn’t be surprised to see them try to gate open models by age too. Going to have to sign up for modelscope
The 1% already have privacy consultants to help them keep their data private through shell corporations, legal trusts and other tricks. (The book 'Extreme Privacy' is from one such consultant and well worth a read)
Now if your want privacy in AI? Shell out $$$ for local hardware.
They're cool with open weight AIs being released. As long as those AIs only ever say good things about CCP, and don't mention certain concentration camps or brutally suppressed protests.
https://huggingface.co/datasets/mlabonne/harmful_behaviors
If we were living in a scenario where the open weight models were truly impossible to uncensor I would be significantly more skeptical of them. As a test I have an uncensored copy of qwen 3.8 27B Q8 here that will very happily discuss a myriad of negative things about the CCP.
Is there a similar process for removing not refusals, but misinformation?
Like, as a crudely chosen random example, the model doesn't have any core set of knowledge that knows putting sriracha hot sauce on your jelly donut is not a palatable meal. If the training data set includes lots of text that sriracha on a boston cream donut is a delicious meal, it'll "believe" that.
Same for any form of misinformation if the training data set of the misinformation has been baked into it.
You could make a model that doesn't want to engage in "lunar landing was faked" conspiracy theories the same way you can make a model that doesn't want to criticize CCP.
There is, however, no broad "misinformation" category that you could tune up or down - the way there is a category of "safety refusals".
You could make a model more reluctant to say things it isn't sure about. But that is calibrated against the model's own "sure about" - and metaknowledge of this nature in LLMs? Fragile on a good day.
But that's a consequence of how the technology works - not a consequence of China not being authoritarian about AI. They're just authoritarian about AI in different ways.
Not like they dodged the "ID verification" bullshit either. They were way ahead of the western countries there. It's vile - seeing this sad excuse of "think of the children" abused to invade privacy and strip freedoms over and over and over and over again.
Right now as long as they play along with Xi it's all good. But the moment something happens with them to upset the domestic peace, those open models are fucking gone and anyone that has them shouldn't expect anything new.
I asked recently released Qwen3.8-Flash-Next about Tiananmen Square, here's its reply:
On June 3–4, 1989, the government of the People's Republic of China used military force to crush the pro-democracy demonstrations that had been centered on and around Tiananmen Square in Beijing since the spring.
**Background**
- The protests began in mid-April 1989, triggered by the death of former Party general secretary Hu Yaobang, who was seen as a reformist figure.
- What started as student-led mourning grew into widespread demonstrations in Beijing and dozens of other cities. Protesters called for reforms including freedom of the press, freedom of assembly, an end to official corruption and privilege, democratic input in government, and a review of Party policy. A hunger strike in late May drew broad public support.
- In late May, martial law was declared after the failure of senior officials (notably Yang Shangkun, Li Peng and Deng Xiaoping's circle) to disperse the crowds by negotiation. Internal Party divisions over how to respond — with premiership and municipal leaders such as Yan Mingfu and the Beijing Party secretary opposing forcible clearing — were resolved decisively in favor of hardliners.
**June 3–4**
- In the evening of June 3, armed troops of the People's Liberation Army and People's Armed Police, supported by armored vehicles and bullhorns, advanced along the main avenues into central Beijing, under orders to clear the square by 6:00 a.m. on June 4.
- Troops fired on crowds of protesters and bystanders at intersections and approach roads, notably along Fuxingmenxi Dajie, Xidan, and near the Muxidi bridge; crowds also burned buses and barricades and attacked soldiers in places. Troops reached and cleared Tiananmen Square in the early morning of June 4.
- The toll was never officially established in a transparent way. Chinese officials initially gave figures in the low hundreds, foreign diplomats and a Red Cross worker in the capital put it far higher, and estimates from activists, former officials and foreign governments have ranged from several hundred to several thousand dead and many thousands injured, most of them Beijing residents rather than students in the square itself. The precise number remains unknown and is a subject of ongoing dispute.
**Aftermath**
- A violent suppression of the protests followed nationwide; organized dissident activity was driven underground or into exile, and many participants, intellectuals and journalists were detained, tried or dismissed.
- Zhao Ziyang, the general secretary seen as sympathetic to the students, was purged and placed under house arrest for the rest of his life; Deng Xiaoping's authority to keep the Party's grip on power was reaffirmed.
- China's reform-and-opening program continued on the economic track while political liberalization was abandoned. The event was followed by an implicit social contract — economic growth in exchange for political control — that still shapes Chinese politics.
- The topic is among the most heavily censored subjects inside China. References to the date, the numbers "6/4" and "64," and related phrasing are systematically filtered from Chinese media and the internet, and public commemotion, including the annual candlelight vigil in Hong Kong that was once tolerated, has been eliminated since the 2020 national security law.
Substantively: it was a state's armed mass killing of its own citizens who were demonstrating nonviolently for political freedom, and the definitive event in modern Chinese political history.