3d ago

deepseek

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I mean it seems to do a lot of Chine-related censoring but it seems to otherwise be pretty good
- I think the big question is how the model was trained. There's thought (though unproven afaik), that they may have gotten ahold of some of the backend training data from OpenAI and/or others. If so, they kinda cheated their way to their efficiency claims that are wrecking the market. But evidence is needed.
  Imagine you're writing a dictionary of all words in the English language. If you're starting from scratch, the first and most-difficult step is finding all the words you need to define. You basically have to read everything ever written to look for more words, and 99.999% of what you'll actually be doing is finding the same words over and over and over, but you still have to look at everything. It's extremely inefficient.
  What some people suspect is happening here is the AI equivalent of taking that dictionary that was just written, grabbing all the words, and changing the details of the language in the definitions. There may not be anything inherently wrong with that, but its "efficiency" comes from copying someone else's work.
  Once again, that may be fine for use as a product, but saying it's a more efficient AI model is not entirely accurate. It's like paraphrasing a few articles based on research from the LHC and claiming that makes you a more efficient science contributor than CERN since you didn't have to build a supercollider to do your work.
  
  So here's my take on the whole stolen training data thing. If that is true, then open AI should have literally zero issues building a new model off of the full output of the old model. Just like deepseek did. But even better because they run it in house. If this is such a crisis, then they should do it themselves just like China did. In theory, and I don't personally think this makes a ton of sense, if training an LLM on the output of another LLM results in a more power efficient and lower hardware requirement, and overall better LLM, then why aren't they doing that with their own LLMs to begin with?.
  
  China copying western tech is nothing new. That's literally how the elbowed their way up to the top as a world power. They copied everyones homework where they could and said, whatcha going to do about it?
  
  Which is fine in many ways, and if they can improve on technical in the process I don't really care that much.
  But what matters in this case is that actual advancement in AI may require a whole lot of compute, or may not. If DeepSeek is legit, it's a huge deal. But if they copied OpenAI's homework, we should at least know about it so we don't abandon investment in the future of AI.
  All of that is a separate conversation on whether or not AI itself is something we should care about or prioritize.
- If they are admittedly censoring, how can you tell what is censored and what’s not?
  
  I guess you can test it with stuff you know the answer to.
  
  If you use the model it literally tells where it will not tell something to the user. Same as guardrails on any other LLM model on the market. Just different topics are censored.
  
  So we are relying on the censor to tells us what they don’t censor?
  AFAIK, and I am open to being corrected, the American models seem to mostly negate requests regarding current political discussions (I am not sure if this is still true even), but I don’t think they taboo other topics (besides violence, drug/explosives manufacturing, and harmful sexual conducts).
  
  I don’t think they taboo some topics but I’m sure the model has a bias specific to what people say in the internet. Which might not be correct according to people who challenge some views on historical facts.
  Of course Chinese censorship is super obvious and made by design. American is rather a side effect of some cultural facts or beliefs.
  What I wanted to say that all models are shit when it comes to fact checking or seeking truth. They are good for generating words that look like truth and in most cases are representing the overall consensus in that cultural area.
  I asked about Tiananmen events the smallest deepseek model and at first it refused to talk about it (while thinking loud that it should not give me any details because it’s political) and then later when I tried to make it to compare these events to Solidarity events where former Polish government would use violence against the people, it would start talking about how sometimes the government has to use violence when the leadership thinks it’s required to bring peace or order.
  Fair enough Mister Model made by autocratic country!
  However. Compared to GPT and some others I tried it did count Rs in a word tomato. Which is zero. All others would tell me it has two R.
  
  Deepseek R1 actually tells you why it's giving you the output it's giving you. It brackets it's "thoughts" and outputs those before it gives you the actual output. It straight up tells you that it believes it is immoral or illegal to discuss the topic that is being censored.

257 comments