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this post was submitted on 25 Jan 2026
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China is winning the race just because they release open weights of a models. The main question is: why do they do that? They don't earn money, so there must be something else that they gain. Political influence maybe? Spreading propaganda? Has anyone checked if those models answer questions about Tiananmen Square?
Taiwan moment
except there's no fascist rule, taiwan claims that the mainland belongs to them and viceversa, and the only reason why they're not unified is because of western imperialism. yeah, it's literally the same. malvinas belongs to uk also /s
Yeah, Chinese models have the same issue with Taiwan
except there's no fascist rule, taiwan claims that the mainland belongs to them and viceversa, and the only reason why they're not unified is because of western imperialism. yeah, it's literally the same. malvinas belongs to uk also /s
"China bad" aside. Chinese companies are entering a space dominated by US companies with endless money, and this is one way they can gain a foothold. Also in China a working solution is preferred over intellectual property. An open model allows more people and companies to produce actual products and systems. There is no emphasis on value for shareholders or stock prices.
Because when something is open-source, reseaechers are more prone to adopt them. Companies pay less, and the market will be your. Instead of centralizing trhough open ai añi or microsoft azure, the let you run those models on your stack. You domt need to pay fees there. More people get involved, the models grows, you have free qa and developers working on the product. Alibaba is getting a lot of revenues just because people are switching to their infrastructure.
People using good chinese stuff makes their material conditions better, making them "china good", so they will automatically disbelieve made up "china bad" narratives like yours. And there's nothing you can do about it.
Aww look at you still malding your color revolution failed.
Yes a long time ago and they don't, but the AI models and training data are two different things.
Also as they are open source, there's nothing stopping anyone from running these AI models locally with your own training data.
There is no such thing like "running model with your training data". To change model's behavior you need to fine-tune it, which means: to continue training it on your own data set. For this to happen you need to have your own dataset, computing power and knowledge how to do it because you may as well make your model performing worse. It is not an easy task.
It's not easy, but it's done all the time. New models, new LoRAs, and in some cases, the training data doesn't even need to be very large for a specific task.
You don't need the entire training dataset that the model was built from.
The same reason Facebook's llama was "open": when you're behind, try to get adoption as open source.
All AI models have some boundaries implemented. A lot of them of ideological nature.
China has a big interest to challenge the US's hegemonial status. If "they" win the AI arms race "they"later can charge actual money when having established themselves as THE winner and only supplier of consumer AI. It's how most western monopolies became to be one.
The good thing about open models is that you can train the biases and rules out of them. The weights are not concrete.