The Debate on Chinese Open Source AI: Performance vs. Censorship
Dec 11, 2024

Sam

I just read about something interesting. Chinese AI models are becoming really strong, but people are worried about them. Why is that?

Amy

Ah, that’s a big topic right now! These models are great at tasks like coding and reasoning, but some people, including the CEO of Hugging Face, are concerned about censorship.

Sam

Censorship? You mean like blocking things online?

Amy

Exactly. For example, if you ask a Chinese AI about the Tiananmen Square protests, it might not give you a real answer because it’s designed to avoid sensitive topics.

Sam

That’s kind of like a teacher skipping hard questions in class. But why does it matter if the AI is so good at other things?

Amy

Good analogy! The issue is that censorship could spread if other countries use these models. It’s like buying a textbook with missing pages—it could affect what you learn.

Sam

Oh, so if companies in the U.S. or Europe use these models, the censorship could show up here too?

Amy

Exactly. That’s what Clement Delangue, the CEO of Hugging Face, is worried about. He thinks AI should be developed by many countries, not dominated by just one or two. That way, ideas stay balanced.

Sam

Makes sense. But why are Chinese models getting so good so quickly?

Amy

China is really into open source AI, which means sharing their code publicly. This lets developers improve the models faster. But they still have to follow government rules, like including censorship.

Sam

So, are all Chinese AI models like this?

Amy

Not all. For example, Alibaba has a model on Hugging Face called Qwen2.5 that doesn’t seem to censor much. But another one from Alibaba, QwQ-32B, does censor sensitive topics.

Sam

It’s like some textbooks being complete and others having missing pages. Why do companies still use them?

Amy

Because these models are really powerful and cost-effective. But it’s a trade-off between performance and ethical concerns.

Sam

That’s tricky. So, what’s the solution?

Amy

Experts like Delangue say we need to make sure AI is developed worldwide, not just in one or two places. That way, no single country’s rules or values dominate.

Sam

Got it. AI should be like a class project where everyone contributes, not just one person writing it all. That way, it’s fair.

Amy

Exactly! And we also need to keep talking about ethics to make sure AI stays helpful for everyone.