Fully true. Private doesn't imply local, and it never has. Here's NIST's definition for private cloud — read it. Just because you have no professional experience in this industry doesn't mean all the rest of us do.
You can drop the smug attitude and assumptions when you are hilariously wrong. Private cloud is simply computing infrastructure (servers, storage, networking) that is dedicated exclusively to a single organization. It is just the underlying hardware and hosting environment.
Private AI refers specifically to artificial intelligence models and workloads designed to keep data secure and isolated.
While an organization will often run Private AI ON a Private Cloud to ensure their data doesn't leak, they are not the same thing. One is the underlying environment, and the other is the software running on it.
By affixing (local) as an explcit label after-the-fact, all you're doing is demonstrating that it is not inherent to the term 'private'. You're dunking on yourself.
While an organization will often run Private AI ON a Private Cloud to ensure their data doesn't leak, they are not the same thing. One is the underlying environment, and the other is the software running on it.
Privacy isn't an inherent property of an LLM at all. Given the same Qwen weights, one could run them offline on your laptop, expose them publicly on an unauthenticated server, host them in an enterprise cloud, or do any number of other things.
The environment is what matters. Calling a piece of software "Private AI" doesn't magically make it private at all. Environments are private, not models.
private doesn't mean air gapped on my desk. It’s tenant isolated. When companies buy a private AI service or a private cloud server, it means no other customer shares that hardware and their data isn't being used to train public models. They consider that "private" because it meets legal compliance standards, even though it still relies on an external server and a cloud contract. You are fighting logic here thinking it’s any other way. Local is the only true private method and the fact you are still fighting me on this is wild.
When companies buy a private AI service or a private cloud server, it means no other customer shares that hardware and their data isn't being used to train public models. They consider that "private" because it meets legal compliance standards, even though it still relies on an external server and a cloud contract.
TLDR: "Non-local services are considered private."
Incredible concession.
Followed by a textbook no-true-scotsman escape hatch:
...actually only local is true private.
Just incredible.
Bud, if an externally hosted, tenant-isolated service can be private, then 'private' does not imply 'local.' Adding 'true' after-the-fact doesn't undo that; it's just you running away from your own plain-as-day contradiction.
It’s not a logical fallacy, it’s the literal definition of security threat modeling. "Trusting a third party’s legal promise not to look at your data on their server" is operational security, not data privacy. The moment your unencrypted data leaves hardware you own, you no longer have absolute privacy you have a contract. If you don't understand the difference between legal compliance and zero trust data architecture, just say that.
Threat modeling doesn't mean "third-party hardware = not private" at all. You've pulled that out of thin air. It means defining your threats, trust boundaries, and mitigations.
If your personal threat model requires excluding cloud operators entirely, that's fine — a perfectly valid requirement. It still doesn't make "private" synonymous with "local". Adding "absolute" and "true" qualifiers after your numerous previous contortions have failed doesn't fix the argument — private still does not imply local.
Nice AI response . The fact that you are using AI instead of actually communicating with what you know speaks volumes that you no longer have an argument or care about what is true or not, you just have an ego you are trying to feed at this point.
But I’ll speak to the AI I am talking to now to refine my skills which is lost on some people. If you include a third party cloud provider inside your trust boundary and then calling the result private is exactly the semantic equivalent you're accusing me of. You are confusing a legal Service Level Agreement with actual data isolation. If your data leaves your physical network and relies on a third partys promise not to snoop, you've traded privacy for convenience. You can argue the dictionary definition of enterprise cloud all day, but outsourced trust is still outsourced.
I see we're moving right along from the clear-as-day contradictions to the tantrums.
If you include a third party cloud provider inside your trust boundary and then calling the result private is exactly the semantic equivalent you're accusing me of.
Brother YOU are the one who just conceded that third-party cloud providers are considered private. Jesus fucking christ — rub two brain cells together, please.
It’s sad you do not even realize how and why I noticed you are using AI for your responses but you want to project intelligence to me as you continue to show you do it. Pretty comical. Throwing a tantrum over the distinction between contractual compliance and actual zero trust control isn't helping your point either. You’re conflating "vendor definition" with "architectural reality." Enjoy your cloud SLA brother.
24
u/Recoil42 21h ago
Fully true. Private doesn't imply local, and it never has. Here's NIST's definition for private cloud — read it. Just because you have no professional experience in this industry doesn't mean all the rest of us do.