Hobbyist developer seeks verifiable privacy for incognito LLM chat app
Can open-sourcing the code really prove no data logging?
Deep Dive
A hobbyist building an incognito LLM chat app asks how to prove they don’t log prompts without relying on trust. They consider open‑sourcing the repo and model, then hashing releases to show nothing changed, and wonder why users trust Proton. They rule out TEE due to hardware requirements.
Key Points
- Hobbyist seeks verifiable no-logging proof for their LLM chat app
- Considers open-sourcing, hashing releases, and TEE as potential solutions
- Community debate: open-source needed but not sufficient without reproducible builds
Why It Matters
Transparency is key for AI app adoption; verifiable privacy can build user trust without hardware expense.