What “Open” AI Really Means

Let’s talk about something that’s been bothering a lot of people working in AI: the word "open."

We keep hearing that models like MedGemma are “open-source.” And yes, the weights are downloadable. Technically, you can tinker with it. But once you look past the surface, it’s clear: the infrastructure underneath still relies on centralized cloud servers.

So what does that really mean for you, especially if you’re working in healthcare or handling sensitive data?

• You download the model weights (cool).

• You send data to the cloud to run the model (not great).

• That data gets used to train future versions (without any benefit to you).

• And because everything routes through centralized systems, it’s definitely not HIPAA compliant.

You can experiment, sure. But control, privacy, and ownership are still locked away.

PAI3 Does It Differently, On Purpose

PAI3 is not only trying to “open up” AI, it’s rebuilding it to be local-first, private by default, and actually decentralized.

Let’s walk through what that looks like in practice:

Inference Happens on your own node With something called the DIM (Decentralized Inference Machine), you don’t have to send your data anywhere. The AI runs locally, on your own hardware. You’re in control.

Your Data Stays Yours Using encrypted storage called Cabinets, PAI3 keeps your raw data secure—no middlemen, no leaks.

It’s RAG-NativeThat means real-time Retrieval-Augmented Generation from your own sources. Your AI pulls answers from your local data, not the public internet.

Zero-Knowledge Proofs = Trust Without ExposureWant to verify that an AI decision was made correctly, without exposing the private info behind it? That’s where ZK proofs come in. Powerful, especially for industries like healthcare.

And Yes, You Can EarnWhen you run a PAI3 node, you’re not just a user—you’re a participant. Nodes earn token rewards for providing compute, keeping data secure, and supporting the network.

Let’s Compare the Two Worlds

MedGemma (Cloud-Centric Model): → You send data to the cloud
→ The AI runs somewhere else
→ Someone else gets the value

PAI3 (Local-First Stack): → Your data stays put
→ The AI runs right on your machine
→ You get the privacy, control, and rewards

It’s the same model power, just a completely different architecture and outcome.

Why This is Important Especially in Medicine

AI is already being used in diagnostics, treatment planning, even drug development. But if the infrastructure is centralized, we’re just repeating the same old patterns. Data flows up, control gets concentrated, and those actually doing the work (or generating the data) are left out of the equation.

PAI3 is offering a new foundation. One that:

• Respects patient data

• Keeps critical info local

• Still delivers real-time, trustworthy AI outputs

• And includes you in the value creation

The Bottom Line.. Don’t Just Use AI. Run It.

It’s time we stop pretending downloadable weights equal freedom. Freedom means running models on your terms. On your machines. With your data staying private, and with you earning a share of the value you help create.

That’s what PAI3 is building. And it’s already working.

Own the node. Run the model. Keep the value. 👉 Check it out at pai3.ai