HACKER Q&A
📣 emerongi

How do you use LLMs for private discussions?


I sometimes have things to discuss with LLMs, which are more private than usual. I was thinking how to do it in a way that doesn't reveal my identity.

  1. Use Tor to access the provider?
  2. Create a random account?
  3. Use some form of untraceable payment (which one?)
  4. Scrub all information provided to the LLM from personally identifiable information?
It seems like a lot of effort. So is running a local LLM, for which I don't even have the hardware. How do you do it?


  👤 blinded Accepted Answer ✓
I spin up a gpu instance in a cloud, run my model via vllm, connect to it via an ssh tunnel. done.

👤 downbad_
Can't you do it logged out?

👤 hbcondo714
Maybe try Ollama Cloud, Prompt or response data is never logged or trained on:

https://ollama.com/pricing


👤 Havoc
With a local one

👤 7402
With llama.cpp, Intel i9-13900KS CPU, 96 GB RAM, RTX 4070 running locally.

The models I'm using right now with that are:

  gpt-oss-120b-F16.gguf
  Qwen_Qwen3.5-27B-Q4_K_M.gguf
  Qwen3.6-35B-A3B-UD-Q5_K_XL.gguf
  gemma-4-31B-it-UD-Q6_K_XL.gguf

👤 ahdgs
i've been using OpenAI's os PII-masking model, works decently and lightweight enough to run virtually anywhere https://huggingface.co/openai/privacy-filter

👤 RobotCaleb
I don't