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Qwen 3.8

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Re: Qwen 3.8

#481
post #385

Earlier quoted context omitted.

Any large company in China is only allowed to get this way by direct control from the CCP. This isn't really anything nee and I thought it was common knowledge by now.

I thought it should always be common knowledge that there is no way for any organization of 100m people to have one single mind.

There are numerous institutions that have agenda transcending individuals. Communist parties are very prominent among them.

Re: Qwen 3.8

#482

Earlier quoted context omitted.

It is hilarious to see people from arguable the most polarized political systems in the world believing the evil 1.5 billion people across the sea share one single mind, either a saint, or a devil.

It will be a great day for China and the world when the Chinese people are free from a totalitarian dictatorship. But until then we have to speak of the policy of the Chinese government as the policy of China, even if many, or most disagree with those policies.

[deleted]

Re: Qwen 3.8

#483

Earlier quoted context omitted.

Consumer energy prices in China aren’t going up because of AI data centers. Easiest way to see they have an oversupply of energy, primarily due to solar.

They don't have many big AI datacenters as they've been GPU constrained for a long time. Solar is largely irrelevant. You can't run an AI datacenter off solar.

It absorbs the demand during the day / there’s enough for consumers. Similarly China also has a lot of nuclear. They’ve overbuilt their grid several times over.

Re: Qwen 3.8

#484
post #43

Qwen is the most censored of the Chinese models in my testing, which makes me wonder in what other ways it is compromised. Open weights doesn't really reveal what's in there. And, in my tests, existing Qwen models are not at the pareto frontier of any metric; DeepSeek V4 Pro is better, faster, and much cheaper than Qwen 3.7 Max. (DeepSeek is also among the least censored of the Chinese models.) I guess we'll see if t…

What censorship? ;) https://github.com/p-e-w/heretic

What's been your experience using these models? In my experiments, while it is true that the models are less likely to outright refuse to answer "sensitive" questions, they are still very resistant to actually respond in a meaningful / useful way.

Re: Qwen 3.8

#485

Earlier quoted context omitted.

It's a flippant answer to a real question. Anthropic, OpenAI, and even Grok have "Don't train on my data" knobs. Whether you trust them is different, but there ARE knobs on other hosted AI companies.

Those knobs don't do anything, don't be silly. It's just optics.

If this is true then why did Anthropic bother to update their privacy policy when they first launched Fable?

Re: Qwen 3.8

#486
post #324
post #6

Earlier quoted context omitted.

It's hard to say what their motivation is. The Chinese firms seem to be working hard to commoditize intelligence which may be the most effective way to debase American frontier labs. And yeah: it also happens to be really good for humanity.

> It's hard to say what their motivation is. Feels pretty easy to me. They want to turn LLMs into a commodity, and watch the US AI labs crash and burn. There will still be plenty of customers who will pay them to host the models and run inference, even if the weights are open and others can offer competing products. (If necessary, the Chinese government can ban use of foreign inference services by Chinese citizens an…

>When their models equal or surpass those from the Western AI labs,

that moment is now. They are not doing it at least not yet.

Re: Qwen 3.8

#487

Earlier quoted context omitted.

I feel like there could also be a simpler explanation. Why does a debian contributor make debian free, why do they work on this thing anyone can use? Is it because linux and debian hate windows and iOS and want to see american fail? No, it's because most debian contributors believe software source code, information, should be free, users should be free to modify the code they use, and that they're building a thing th…

Please don't conflate a volunteer effort with no expected economic gain with a very well funded company (or fleet of companies). With the CCP's highly successful track record with subsuming other markets, Occam's razor applies to why they're doing this.

There is clearly an anti-China bias here. Show me comments demonstrating the same level of distrust against Google for open-sourcing projects like Tensorflow, Kubernetes, Flutter, Chromium, etc.

Re: Qwen 3.8

#488
post #324
post #6

Earlier quoted context omitted.

It's hard to say what their motivation is. The Chinese firms seem to be working hard to commoditize intelligence which may be the most effective way to debase American frontier labs. And yeah: it also happens to be really good for humanity.

> It's hard to say what their motivation is. Feels pretty easy to me. They want to turn LLMs into a commodity, and watch the US AI labs crash and burn. There will still be plenty of customers who will pay them to host the models and run inference, even if the weights are open and others can offer competing products. (If necessary, the Chinese government can ban use of foreign inference services by Chinese citizens an…

There’s a simpler explanation, which is that this is how Chinese business operates.

When I was in China earlier this year the big topic of conversation was “overproduction”. The big example was electric cars, where there were too many companies making too many cars and making revenue but no profit.

It was explained to me that generally Chinese firms will compete hard and maximize revenue above all, whereas western firms tend to focus on profit.

(And of course this is clustered around industrial sectors that the government favors, so there is some high level strategy in going after AI, but maybe not the commoditization.)

Re: Qwen 3.8

#489
It feels like an inflection point of lost US leadership in technology? A year plus ago you would say while China led in green energy and manufacturing, at least the US was ahead in software - as demonstrated by the state of US AI models.

We could point at a lot of factors on the US side. From political paralysis / head-in-the-sand attitudes towards emerging tech like green energy. To something of disdain for workers that will be impacted by AI (creating a backlash). To education that continues to lag. Add to this so many other self-inflicted economic wounds from the current administration.

I don't know if its nearly as terminal, as say the UK after WW2. The US is still large, wealthy, and resource rich. Yet at a minimum the triumphalism about US leadership after Trump was elected by the tech elite feels silly in retrospect.

Something I also think about is how much stronger The West overall would be if instead of antagonizing allies, there was a single ecosystem working closer together.

Re: Qwen 3.8

#490
Now there are not one, but two incredibly powerful open LLMs. I think this level of capability makes general prioritization / high level decision making doable with the right harness, and now everyone has hard-to-interrupt access to them (since these are open weights and someone in the world is going to run them). This world is going to get really weird soon, in both good and bad ways...
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