The Easiest Way to Take AI Offline

So you love the idea of AI, but every time you hear the word "cloud," you flinch.

Maybe it’s the creeping thought that someone else’s machine is reading everything you type.

Maybe it’s just the feeling of not being in control.

Whatever it is, there are more people like you.

But in 2025, you can run AI offline. Yes, locally, securely, and for free.

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VIDEO OF THE WEEK: How to Run AI Offline for FREE in 2025

Link: Watch now

Why you should care:

Because it shows you (step by step) how to get a fully private, powerful AI assistant running on your own computer.

Just real capability, sitting quietly on your machine, ready to answer anything.

OpenAI, Google, Meta, all want your data.

They make their tools free or cheap because you’re not the customer, you’re the product. But that doesn’t mean you have to play along.

This week’s video is a breath of fresh air. It shows exactly how to run a large language model (LLM) offline using Docker. If that sentence sounds intimidating, hold tight, it’s easier than you think.

The narrator breaks it down into small, doable steps.

• You download Docker. (It works on Mac and Windows.)

• You turn on a feature called "Model Runner."

• Then you go grab a model, think of it like downloading an app. The model he uses is called "Small LM2," and it punches way above its weight.

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Why does this matter?

Because you don’t need to rely on someone else’s server. Normally, you type a question and it flies off to some massive data center.

But with this method, your machine is the data center. Type a question. Get an answer. All local. All private.

And you can run it with no internet at all. Literally.

The first moment he turns off Wi-Fi, starts a new chat, and the model replies instantly? That’s not just a cool demo. That’s freedom.

Still thinking if your computer can handle it?

The guide also explains how to allocate memory to Docker, so you don’t get caught by surprise. If you’ve got more than 8 GB of RAM, you're golden. Under that? It might get tricky, but there are still smaller models you can try.

Then, it goes a step further.

Not only can you run the model and chat with it locally, but you can also build a simple app around it. Think custom chatbot. Think personal assistant. Think productivity booster that knows you, because it never leaves your machine.

He demos a mini app called Hello GenAI. It takes just one tweak to tell it what model to use. One command to run it. And then you’ve got a personal chat interface, right there in your browser, but served from your own laptop.

If you’ve ever felt like AI tools were powerful but just out of reach (technically or financially), this video flips that script.

This isn’t about being anti-cloud.

It’s about having options. Real, sovereign options.

Maybe you want to work on sensitive data. Maybe you’re just sick of your prompts being used to train the next version of someone else’s model.

Either way, this is your path out.

You don’t need to be a developer. You just need to follow the instructions.

The video is clear.

The steps are minimal.

And the result is powerful.

So if you’re ready to stop handing your data to Big Tech...

If you’re ready to reclaim control, speed, and privacy...

Watch the video. Set it up. And enjoy the magic of AI, without the noise.

Thanks for reading!

Best,

Miroslav from The Zilahut

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