

What exactly makes this more “open source” than DeepSeek? The linked page doesn’t make that particularly clear.
DeepSeek doesn’t release their training data (but they release a hell of a lot of other stuff), and I think that’s about as “open” as these companies can get before they risk running afoul of copyright issues. Since you can’t compile the model from scratch, it’s not really open source. It’s just freeware. But that’s true for both models, as far as I can tell.
If you’re talking about the distillations, AFAIK they take somebody else’s model and run it through their (actually open-source) distiller. I tried a couple of those models because I was curious. The distilled Qwen model is cagey about Tianmen Square, but Qwen was made by Alibaba. The distillation of a US-made model did not have this problem.
(Edit: we’re talking about these distillations, right? If somebody else ran a test and posted it online, I’m not privy to it.)
I don’t have enough RAM to run the full DeepSeek R1, but AFAIK it doesn’t have this problem. Maybe it does.
In case it isn’t clear, BTW, I do despise LLMs and AI in general. The biggest issue with their lies (leaving aside every other issue with them for a moment) isn’t the glaringly obvious stuff. Not Tianmen Square, and certainly not the “it’s woke!” complaints about generating images of black founding fathers. The worst lies are the subtle and insidious little details like agreeableness - trying to get people to spend a little more time with them, which apparently turns once-reasonable people into members of micro-cults. Like cults, perhaps, spme skeptics think they can join in and not fall for the BS… And then they do.