this post was submitted on 27 Jul 2025
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Imo, having Proton just copy Google but actually be private is exactly what I want. Of course, if they stray away from privacy then there will be issues. I also feel like they are making good stuff. As a subscriber myself I don't have many issues with their offering other than the stuff they don't provide but Google does.
They'll never do it. They've proven they have no integrity and your data is too valuable.
Never do what exactly? Continue to be private?
100% spot on
I don't believe they will be able to compete with Google/OpenAI in a direct battle by having a 1:1 LLM product copy but with privacy. The costs are likely too high for an organisation like Proton and their LLM is likely to have significantly subpar output.
Don't get me wrong, I am all for a private, cloud LLM, but I would rather they came up with novel usability features, a better front-end for evaluating sources (and faster identification of errors and hallucinations) and so on.
I am not seeing any of that.
Fair enough, I would also prefer if they pushed out an online excel/power point alternative before this or or allowed for more cloud storage.
That being said, I also don't think this is a bad thing to do. It seems to work alright so if they can at least be at that level then that's fantastic. I do wish they pooled their resources with other open source AI models cause that would be more efficient but maybe they have a good reason. I've just not looked into it cause I don't use AI that often
I use LLMs as a complement to search and Luma is far worse than even Le Chat from Mistral for moderately complex prompts.
Luma is also notable slower (to an unacceptable level).
I would they rather they focused on existing services. I use their email services and it's pretty good. Based on reviews, it seems that their cloud storage offering isn't on that level.
I don't know about that. From my experience, community AI models (both image generation and LLMs) are often far, far superior to whatever large corporations can dish out within the same size bracket