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Rohan Paul· @rohanpaul_ai · X·· 2026-06-29AI 评分49
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Anthropic CEO Dario Amodei 在 2023 年美国参议院证词中警告,开源模型扩展正走向危险路径。他指出 AI 中的开源与传统开源不同,模型是开放权重(open weights)而非开源,无法看到内部,协作优势有限。他认为开源是“红鲱鱼”,只关心模型性能而非是否开源,以 Deep Seek 为例,不在乎它是否开源。他还强调开源并非免费,模型需托管在云端进行推理,成本高且推理难度大。

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"The scaling of open source models, I think it's going down a very dangerous path. And if the path continues, I think we could get to a very dangerous place. I"

~ Dario Amodei's 2023 U.S. Senate testimony

引用Rohan Paul@rohanpaul_ai
Anthropic CEO Dario Amodei on Open-Source AI Models. "I don't think open source works the same way in AI that it has worked in other areas. Primarily because with open source you can see the source code of the model. Here we can't see inside the model, it's often called open weights instead of open source to kind of distinguish that. But a lot of the benefits, which is that many people can work on it and that it's kind of additive, don't quite work in the same way. So I've actually always seen it as a red herring. When I see a new model come out I don't care whether it's open source or not. If we talk about Deep Seek I don't think it mattered that Deep Seek is open source. I think I ask, is it a good model? Is it better than us at the things that matter? That's the only thing that I care about. It actually doesn't matter either way. Because ultimately you have to host it on the cloud. The people who host it on the cloud do inference. These are big models, they're hard to do inference on. When I think about competition I think about which models are good at the tasks that we do. I think open source is actually a red herring. It's not free. You have to run it on inference and someone has to make it fast on inference." --- From 'Alex Kantrowitz' YT channel (full video link in comment)
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来源:Rohan Paul · x.com