Hi Mullvad community,
As large language models (LLMs) continue to advance, especially open-source ones like DeepSeek V3 (which rivals some of the best closed-source options), there’s a growing need for hosting solutions that prioritize user privacy. Many existing platforms fail to guarantee that requests aren’t logged, monitored, or intercepted.
Given Mullvad’s unwavering commitment to privacy and security, I wondered:
- Could Mullvad ever consider hosting open-source LLMs on a platform with true end-to-end encryption?
- Would this align with the interests of the privacy-conscious Mullvad community?
An offering like this could be transformative—providing powerful AI tools in a way that ensures complete confidentiality of user queries and responses. Imagine pairing cutting-edge AI with Mullvad’s philosophy: no tracking, no logging, and maximum security.
Does this sound like something that resonates with you? Would you find it valuable? I’d love to hear the community’s thoughts!