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.
this is obviously talking about their web app, which most people will be using. In this special instance, it was clearly not the LLM itself censoring the Tiananmen Square, but a layer on top.
i have not bothered downloading and asking deepseek about Tiananmen Square. so i cannot know what the model would have generated. however, it is possible that certain biasses are trained into any model.
i am pretty sure, this blog is aimed at the average user. while i wouldn’t trust any LLM company with my data, i certainly wouldn’t want the chinese government to have them. anyone that knows how to use (ollama)[https://github.com/ollama/ollama] should know these telemetry data don’t apply to running locally. but for sure, pointing it out in the blog would help.
@ToxicWaste @JOMusic the censorship is trained into the ollama models too. But of course the self-hosted model cannot send anything to China, so at least the whole tracking issue is avoided.