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Ask HN: How do you use LLMs for private discussions?

5•emerongi•2h ago
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?

Comments

blinded•2h ago
I spin up a gpu instance in a cloud, run my model via vllm, connect to it via an ssh tunnel. done.
stuxnet79•1h ago
Can you elaborate on the first step? Which cloud and which service? What's the cost outlay if you are just having a convo and not doing anything 'agentic'?
blinded•52m ago
Hey sure.

It depends, but usually spin up an h100 on lambda.ai or coreweave. They have capacity and their UIs/APIs are nice. I spin it up for an hour or two, believe it was 6~ dollars an hour.

Once the gpu instance is up, you need to run vllm and a model, ie https://docs.lambda.ai/education/large-language-models/deplo....

Then you can connect your pi.dev, openwebui, etc etc to vllm and interact with it like normal.

downbad_•1h ago
Can't you do it logged out?
hbcondo714•41m ago
Maybe try Ollama Cloud, Prompt or response data is never logged or trained on:

https://ollama.com/pricing

Havoc•35m ago
With a local one
7402•15m ago
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