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.

  • @[email protected]English
    72•10 hours ago

    DeepSeek is open source, meaning you can modify code(new window) on your own app to create an independent — and more secure — version. This has led some to hope that a more privacy-friendly version of DeepSeek could be developed. However, using DeepSeek in its current form — as it exists today, hosted in China — comes with serious risks for anyone concerned about their most sensitive, private information.

    Any model trained or operated on DeepSeek’s servers is still subject to Chinese data laws, meaning that the Chinese government can demand access at any time.

    What??? Whoever wrote this sounds like he has 0 understanding of how it works. There is no “more privacy-friendly version” that could be developed, the models are already out and you can run the entire model 100% locally. That’s as privacy-friendly as it gets.

    “Any model trained or operated on DeepSeek’s servers are still subject to Chinese data laws”

    Operated, yes. Trained, no. The model is MIT licensed, China has nothing on you when you run it yourself. I expect better from a company whose whole business is on privacy.

    • @[email protected]
      19•10 hours ago

      To be fair, most people can’t actually self-host Deepseek, but there already are other providers offering API access to it.

      • @halcyoncmdrEnglish
        22•10 hours ago

        There are plenty of step-by-step guides to run Deepseek locally. Hell, someone even had it running on a Raspberry Pi. It seems to be much more efficient than other current alternatives.

        That’s about as openly available to self host as you can get without a 1-button installer.

        • @tekato
          7•9 hours ago

          You can run an imitation of the DeepSeek R1 model, but not the actual one unless you literally buy a dozen of whatever NVIDIA’s top GPU is at the moment.

          • @[email protected]
            6•8 hours ago

            A server grade CPU with a lot of RAM and memory bandwidth would work reasonable well, and cost “only” ~$10k rather than 100k+…

        • @[email protected]
          3•9 hours ago

          Those are not deepseek R1. They are unrelated models like llama3 from Meta or Qwen from Alibaba “distilled” by deepseek.

          This is a common method to smarten a smaller model from a larger one.

          Ollama should have never labelled them deepseek:8B/32B. Way too many people misunderstood that.