Arcee, a US open source AI lab, says Chinese models are not inherently dangerous
As Chinese AI models grow in capability and popularity among U.S. companies, the arguing over what should be done about them has reached a fever pitch. As Chinese open-weight AI models grow in capability and popularity , arguments about what should be done about them have once again reached a fever pitch. There's talk that the Trump administration might try to ban them (though it hasn't yet acted on the idea).
Key Takeaways
- Meanwhile, proprietary model makers, particularly OpenAI and Anthropic, appear increasingly concerned about them.
Open-weight models such as Moonshot AI's Kimi K3 or Alibaba's Qwen offer inference at a fraction of the token cost of closed source models from these large U.S. labs.
- But Atkins says China's open models are no more dangerous than any other open source software a company may use.
In fact, he says, they even offer benefits even to his own company.
- (What isn't available is the methods and data used to train the models.)
Large organizations should put any model core through their security testing and inspection processes, and they will also often post-train the models for their specific uses and can examine areas like bias, toxicity, hallucinations, and sensitivity to certain topics.
- But he adds: "I don't know how you would do this."
Because large language models are by nature creative, the odds are slim of getting a contemporary model to spit out malware in response to a preplanned perfect storm of context and prompt.
- Then they can learn what we do," he says.
Meanwhile, proprietary model makers, particularly OpenAI and Anthropic, appear increasingly concerned about them. Open-weight models such as Moonshot AI's Kimi K3 or Alibaba's Qwen offer inference at a fraction of the token cost of closed source models from these large U.S. labs. The fear is that they also pose some sort of threat.
Certainly they threaten the profit margins of the large proprietary AI labs. But should enterprises running these models in their own data centers succumb to the fear that they could be a vector for Chinese hackers? No, says Lucas Atkins, the CTO of Arcee , which is building open models to give U.S. companies a homegrown alternative to Chinese models.
If any startup would benefit from a ban on Chinese models, Arcee would. But Atkins says China's open models are no more dangerous than any other open source software a company may use. In fact, he says, they even offer benefits even to his own company.
For more details please read the original article at TechCrunch AI.
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