A proposed class action lawsuit claims that Perplexity covertly shares chat content with both Google and Meta for ad targeting.
A proposed class action lawsuit claims that Perplexity covertly shares chat content with both Google and Meta for ad targeting.
shame for the software engineers, marketing, the middle managers, the project owner of not over communicating that THERE IS NO PRACTICAL WAYS OF ENCRYPTING MACHINE LEARNING MODELS INPUT
therefore, your chat are plainly read and known by the provider, lest you trust the privacy policy of a company, which WILL ALWAYS change anyway. There are no mathematical trust here, such as encryption in instant messaging like matrix.
Yup, want privacy, host your own models.
PerplexicaVane + ollama (or Lemonade, better for AMD) is pretty damn easy to stand up and works well I find (never used perplexity) and you get references to real web pages to double check for hallucinations.Nice thing about deep research is you can ask a question and just come back later, so latency is less of an issue, even CPU + RAM can do the job.
Given the current state of the internet it’s heading towards a necessity to play
Spy vs SpyAI Slop vs AI Slop. Might as well control it yourself.FWIW I find Qwen 3.5 27B a great model if you can fit it (and I use the perplexity embedding model that they open weighted pplx-embed).
https://confer.to/
we still need to trust their environment… be it open source or otherwise, they have every mean to audit your messages or intercept it when touching their GPU…
You’re right. That’s always the case when using
someone else’s computerthe cloud.Moxie addresses it in this blog post. https://confer.to/blog/2026/01/private-inference/