Article: https://proton.me/blog/deepseek

Calls it “Deepsneak”, failing to make it clear that the reason people love Deepseek is that you can download and it run it securely on any of your own private devices or servers - unlike most of the competing SOTA AIs.

I can’t speak for Proton, but the last couple weeks are showing some very clear biases coming out.

  • firadin@lemmy.world
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    2 hours ago

    Unsurprising that a right-wing Trump supporting company is now attacking a tech that poses an existential threat to the fascist-leaning tech companies that are all in on AI.

  • Tony Bark@pawb.social
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    3 hours ago

    DeepSeek is open source, but is it safe?

    These guys are in the open source business themselves, they should know the answer to this question.

    • AstralPath@lemmy.ca
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      3 hours ago

      Has anyone actually analyzed the source code thoroughly yet? I’ve seen a ton of reporting on its open source nature but nothing about the detailed nature of the source.

      FOSS only = safe if the code has been audited in depth.

      • Fubarberry@sopuli.xyz
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        2 hours ago

        I haven’t looked into Deepseek specifically so I could be mistaken, but a lot of times when a model is called “open-source” it really is just open weights. You can download it or train other models off of it, but you can’t actually view any kind of source code on how the model works.

        An audit isn’t really possible.

        • AstralPath@lemmy.ca
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          52 minutes ago

          Then by default it should never be considered safe. Honestly, this “open” release… it makes me wonder about ulterior motives.

    • fruitycoder@sh.itjust.works
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      1 hour ago

      They very much do not believe that open source means safe or private. They have a tons of articles talking about the hurdles they have gone through to try and ensure they are, and where and when they have failed to do so.

    • tabular@lemmy.world
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      3 hours ago

      If I obfuscate my code such that it’s very difficult to understand then in practice it’s like proprietary software, even with an open source license.

      Correct me if I’m wrong but looking at the code isn’t enough to understand what a neural network will do (if these “AI” are using that, maybe they’re not).

      • Tony Bark@pawb.social
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        3 hours ago

        Deepseek’s R1 was built entirely on a multi-stage reinforcement learning process, and they pretty much open sourced that entire pipeline. By contrast, OpenAI has been giving us nothing but “look what we did” since GPT-3, and we’re supposed to trust them.

  • the_swagmaster@lemmy.zip
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    2 hours ago

    I don’t think they are that biased. They say in the article that ai models from all the leading companies are not private and shouldn’t be trusted with your data. The article is focusing on Deepseek given that’s the new big thing. Of course, since it’s controlled by China that makes data privacy even less of a thing that can be trusted.

    Should we trust Deepseek? No. Should we trust OpenAI? No. Should we trust anything that is not developed by an open community? No.

    I don’t think Proton is biased, they are explaining the risks with Deepseek specifically and mention how Ai’s aren’t much better. The article is not titled “Deepseek vs OpenAI” or anything like that. I don’t get why people bag on proton when they are the biggest privacy focused player that could (almost) replace google for most people!

    • Bogasse
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      3 hours ago

      We actually it seems quite fair-ish 🤷

      AI has the potential to be a truly revolutionary development, one that could drive advancement for centuries. But it must be done correctly. These companies stand to make billions of dollars in revenue, and yet they violated our privacy and are training their tools using our data without our permission. Recent history shows we must act now if we’re to avoid an even worse version of surveillance capitalism.

      Also from 2023 : https://proton.me/blog/ai-gdpr

  • deegeese@sopuli.xyz
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    3 hours ago

    Anyone promoting LLMs without a big side of skepticism is exposing their bias.