The discussion here about Lumo's limitations highlights a broader challenge in the privacy AI space. We've been working on this problem from a different angle at Kynismos.
Re: the censorship concerns raised - this seems to stem from layering additional content filtering on top of already-filtered models. Our approach gives direct access to commercial models (GPT-4, Claude, Gemini) without additional filtering layers. Same Tiananmen question that Lumo restricts? Gets a full factual response through our system.
Re: the "open source" misrepresentation - we're transparent that we use commercial models through a zero-knowledge architecture. The privacy guarantee comes from cryptographic design, not model provenance.
Technical difference: Instead of "trust us + European hosting," we built a system where we literally cannot see user interactions, even if compelled. Data never leaves the user's device in decryptable form.
Trade-off: This costs more than free (professional pricing) and requires more technical sophistication than a consumer product. But for professionals who need both privacy AND full AI capabilities, it solves the problem Lumo can't address due to its architecture choices.
Happy to discuss the technical approach if there's interest.