DeepSeek about to get sent in for "maintenance" and docked 10K in social credit.
this post was submitted on 16 Mar 2025
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If your system relies on censoring opposition to it then its probably not very good.
You just described every state, welcome to the right side of history, comrade.
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(53 replies)
Yet unlike American led LLM companies Chinese researchers open sourced their model leading to government investment
So the government invests in a model that you can use, including theoretically removing these guardrails. And these models can be used by anyone and the technology within can be built off of, though they do have to be licensed for commercial use
Whereas America pumps 500 billion into the AI industry for closed proprietary models that will serve only the capitalists creating them. If we are investing taxpayer money into concerns like this we should take a note from China and demand the same standards that they are seeing from deepseek. Deepseek is still profit motivated; it is not inherently bad for such a thing. But if you expect a great deal of taxpayer money then your work needs to open and shared with the people, as deepseeks was.
Americans are getting tragically fleeced on this so a handful of people can get loaded. This happens all the time but this time there’s a literal example of what should be occurring happening right alongside. And yet what people end up concerning themselves with is Sinophobia rather than the fact that their government is robbing them blind
Additionally American models still deliver pro capitalist propaganda, just less transparently: ask them about this issue and they will talk about the complexity of “trade secrets” and “proprietary knowledge” needed to justify investment and discouraging the idea of open source models, even though deepseeks existence proves it can be done collaboratively with financial success.
The difference is that deepseeks censorship is clear: “I will not speak about this” can be frustrating but at least it is obvious where the lines are. The former is far more subversive (though to be fair it is also potentially a byproduct of content consumed and not necessarily direction from openai/google/whoever)
But Deepseek isn't Open Source by any definition of that word that I'm familiar with. Sure, they release more components than ProprietaryAI (which is a low bar,) but what you're left with is still a blob with a lot of the source code not released and no data set published as far as I can tell. Also, if I wanted to train my own model with the tools released, I'd still need millions of GPU hours. As I said, they are more transparent than others, but let's not warp the definitions of words just to give a "win" to another company that is just making another hallucination machine.
Closed AI sucks, but there are definitely open models from American companies like meta, you make great points though. Can't wait for more open models and hopefully, eventually, actually open source models that include training data which neither deepseek nor meta do currently.
Ye unlike American
Who saw this coming lmao
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(1 replies)
HAHAHA! When I tried it, it started answering it, but quit and showed me the OOS message instead...
i mean, just ask DeepSeek on a clean slate to tell about Beijin.
That's silly as hell
Ikr. China is just that insecure like that.
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(12 replies)
Is this real? On account of how LLMs tokenize their input, this can actually be a pretty tricky task for them to accomplish. This is also the reason why it's hard for them to count the amount of 'R's in the word 'Strawberry'.
The LLM doesn't have to innately implement filtering. You can use a more traditional and concrete filtering strategy on top. So you sneak something problematic by in the prompt and it's too clever to be caught by the input filter, but then on the output the filter can catch that the prompt tricked the LLM into generating something undesired. Another comment specified they tried this and it started to work but then suddenly it seemingly shut out the reply in the middle, presumably the minute the LLM spit something at a more traditional filter and that shut it down.
I think I've seen this sort of approach has been applied to largely mask embarassing answers that become memes, or to detect input known not to work, and to shut it down or redirect it to a better facility (e.g. redirecting math to wolfram alpha).
It’s probably deepseek r1, which is a “reasoning” model so basically it has sub-models doing things like running computation while the “supervisor” part of the model “talks to them” and relays back the approach. Trying to imitate the way humans think. That being said, models are getting “agentic” meaning they have the ability to run software tools against what you send them, and while it’s obviously being super hyped up by all the tech bro accellerationists, it is likely where LLMs and the like are headed, for better or for worse.
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(9 replies)
I was told there would be no math