I'm increasingly curious about user privacy when it comes to hosted LLM usage. Many popular LLM apps and APIs require sending your prompts, messages, and potentially sensitive information to remote servers for processing—sometimes routed through multiple third-party providers.<p>- How much do you trust major LLM providers (OpenAI, Anthropic, Google, etc.) with your data?<p>- For those working on or deploying LLM applications, what approaches do you take to maximize user privacy?<p>- Do you think end users are generally aware of where their data is going and how it's being used, or is this still an overlooked issue?<p>I'd love to hear your perspectives, experiences, or any best practices you recommend on privacy when deploying LLM-powered use cases.
I think combining LLM's with big-data was the most genius way to extract highly secret and sensitive information from individuals, intellectual property from companies, secrets from governments and military operations, pillow talk from executives and politicians. I could not have come up with a better way to burn it all down given all of these secrets will <i>"leak"</i> at some point. I fully expect it to become a master of manipulation especially for those that think their LLM is their significant other. Social media manipulation algorithms will be supplanted by AI.
> How much do you trust major LLM providers (OpenAI, Anthropic, Google, etc.) with your data?<p>I have zero trust in these companies on this count, and that's the main reason why I avoid using products that incorporate "AI".
I think it’s terrible, I asked one to find a picture I thought was copied to me from somewhere was a quote not knowing it was made by that person.<p>The LLM uploaded to internet and “found” the exact picture stating it didn’t exist anywhere else, that source is still viewable on the internet despite me immediately submitting a request to remove. It’s not private but I felt like I’d been had.