Konshus

Comparison

Local AI vs ChatGPT and Claude: an honest privacy comparison

Updated 2026-10-13

ChatGPT, Claude and Gemini are remarkable tools. They also run on their makers' servers, which means every word you type is sent there. Local AI runs on your own computer instead.

Neither is simply better. This is a fair look at where each wins, so you can decide which questions go where.

We're not going to pretend the cloud tools are weak. On the hardest questions and anything time-sensitive, they're usually ahead. What local AI offers is different, not superior: your words stay put, your connection stops mattering, and your memory belongs to you.

Where your words go

This is the only difference that never goes away, and everything else follows from it.

  • Cloud AI: your question travels to the company's servers, is processed there, and may be stored under that company's policies, which can change.
  • Local AI: your question is processed on your computer. There is no server receiving it.

Notice that this is a structural difference, not a service-level one. A cloud provider can improve its policy and still be a cloud provider. The only way to make the question "what did they receive?" disappear entirely is for there to be no "they."

That doesn't mean cloud AI is unsafe. For most ordinary questions, the risk is small and the convenience is large. It means the two options answer different questions, and you should choose deliberately rather than by default.

Capability

The largest cloud models still lead on the hardest reasoning, long research and coding tasks, and they can search the web for current information. Local brains have improved fast; Sovereign's larger options handle substantial explanations and writing, and even the smallest is useful for everyday questions. Local AI doesn't know current events.

The gap is real but narrower than the marketing on either side suggests, and it depends on the task. If you're asking for a first draft, an explanation, a rewrite, or help thinking through a choice, a good local brain keeps up. If you're asking it to reason across a huge document set or solve something genuinely novel, the biggest cloud model is usually the better tool.

There's also a floor worth naming: a local brain is only as good as the hardware running it. The same model that feels sharp on a 32 GB machine can feel sluggish on an 8 GB one.

Current information

Cloud assistants can look things up. A local brain can't, because looking things up is the internet. It knows what it learned during training plus whatever is in your Vault.

This is the cleanest tiebreaker: if the answer changes depending on today's date, use a cloud tool or a real source. If the answer is about your life, your writing, or a concept, a local brain is fine and often better.

Memory and personality

Cloud assistants increasingly remember you, but that memory lives in their account and stays there. It can't come with you to a different provider, and it can be trimmed or reset by a change you didn't make.

Konshus keeps your memories in a Vault you own; Sovereign carries a copy down to your computer, so your Konshus greets you by name and knows your context even offline. The same Vault can feed a cloud Konshus too, so the memory isn't locked to one product.

The practical difference is direction. With a cloud assistant, your history accumulates inside someone else's account. With Konshus, the memory is the thing you carry, and the AI is the thing you plug it into.

Offline and reliability

Cloud AI stops when your connection does, and changes when the company updates its model. A local brain works without a connection and never changes on its own.

The second half of that sentence matters more than people expect. If a brain answered a question one way in March, it answers it the same way in September. Cloud services can shift tone, memory behavior and capability under the same account, sometimes with a notice and sometimes quietly.

For a household, that's the difference between a tool you maintain and a service you subscribe to.

What each asks of you

  • Cloud AI: an account, a connection, and comfort with your words being read on someone else's hardware. It works on any device you pick up, including a phone.
  • Sovereign: a supported computer — a Mac with Apple silicon (M1 or newer) or a Windows machine with at least 8 GB of memory — plus one large download and a Recovery Key you keep safe. Windows is supported and currently marked early.
  • Sovereign doesn't meter your questions or count chat against your Online Vault space, because it runs on your machine. What it costs is disk space and one download, from about 2.5 GB to about 63 GB.

The honest summary of the trade: cloud AI asks for your privacy and your connection. Local AI asks for your hardware and a little setup. Neither is free in the sense that matters.

Side by side

  • Privacy of your words — Local: stays on your computer. Cloud: sent to servers.
  • Works offline — Local: yes. Cloud: no.
  • Current information — Local: no. Cloud: yes.
  • Hardest tasks — Cloud usually leads.
  • Setup — Cloud: none. Sovereign: a normal install plus a one-time brain download.
  • Computer requirements — Local: at least 8 GB of memory. Cloud: anything with a browser.
  • Works on a phone — Local: no. Cloud: yes.
  • Your history's home — Local: your computer and your Vault. Cloud: the provider's account.
  • Behavior changes — Local: only when you switch brains. Cloud: whenever the provider updates the model.

A sensible way to use both

Use local AI for anything personal, confidential, or when there's no signal. Use cloud AI when you need current information or the very largest model. With Konshus, both draw on the same Vault, so your AI knows you either way.

People who try this usually sort their questions within a week. The health worry, the draft about a coworker, the family money conversation — those go local. The "what's the latest on…" questions go cloud. It stops being a philosophy and becomes a habit.

The middle ground: a Vault that goes either way

Most comparisons frame this as a choice between two products. It's more useful to treat it as a choice about where your memory lives, because that's the part that's hard to undo.

If your history lives inside one cloud assistant's account, moving means starting over — you can export transcripts, but you can't take the memory that assistant built about you. If your history lives in a Vault you own, the AI on top of it becomes swappable: cloud today, local tomorrow, a different provider next year.

Konshus is built on that second idea. The same Vault feeds a cloud Konshus and a Sovereign on your computer, so the privacy decision and the capability decision stop being the same decision. You aren't choosing a side; you're choosing which tool reads your memory for this question.

The question nobody asks

Most comparisons ask what each tool can do. The more useful question is what each one makes normal.

A cloud assistant makes it normal that your questions are readable by someone else, that your history lives in an account you don't control, and that your assistant's manner can shift when the provider updates a model. None of that is a scandal — it's the price of convenience, and for most people it's a good price.

A local assistant makes the opposite normal: your words stay put, your memory is a file you can copy, and nothing changes unless you change it. The price is that you're the one holding the key.

What people get wrong on both sides

The cloud side of the argument usually overstates what local AI can do. A compressed model on a laptop is not the frontier model with the internet switched off — it's a different, smaller model that doesn't know what happened today and can be confidently wrong.

The local side usually overstates the privacy it protects and understates the cost. Your words not leaving your machine is real and worth something. It doesn't make your computer safe, it doesn't make the AI correct, and it does mean you carry hardware, disk space, and a Recovery Key nobody can reset for you.

The honest version of both sentences is short: cloud AI is more capable and more convenient, and reads your words on someone else's hardware. Local AI is less capable and needs a real setup, and doesn't. Everything else is negotiable.

A month of using both

People who run a cloud assistant and a local one rarely keep a rulebook. Within a few weeks the split settles by itself, and it usually looks less like a policy than a habit.

The private desk goes local: the health question before the appointment, the draft about the difficult colleague, the family money conversation, the note you're not ready to show anyone. The live world goes cloud: what's open, what changed, what the latest version does, the research that needs sources.

The interesting part is what people stop doing. They stop sanitizing their questions — rewriting a real worry into a safe hypothetical before typing it. They stop wondering whether an old conversation is still where they left it. And they stop being surprised when a service they relied on quietly changes its behavior.

Nothing about that arrangement is ideological. It's just the same instinct that makes someone keep a spare key with a neighbor and a first-aid kit in the house: two tools, different failure modes, and knowing which one you're reaching for.

How to decide in two minutes

Answer these honestly and the choice usually makes itself:

  • Would you be uncomfortable if a stranger at a data center read this question? Local.
  • Does the answer depend on something that happened today? Cloud.
  • Do you need it on your phone, in a shop, on someone else's laptop? Cloud.
  • Is this a topic you'll return to for years and would like to own the history of? Local.
  • Is your computer old and nearly full? Cloud, for now.

Common questions