Your AI should live on your computer, not in someone else's

Every time you ask a cloud AI to summarize a meeting or clean up your notes, you hand it something. Your voice. A client's numbers. The half-formed idea you haven't told anyone yet. It goes to a data centre, gets processed, and comes back as a tidy answer. Most of us never think about that trip.

I started thinking about it a lot while building Wavren AI. One question kept coming back: does this data actually need to leave my laptop? For most of what I do in a day, the honest answer was no.

Local personal AI runs on your own device. The model sits on your laptop or phone, your data stays there, and your own chip does the work.

A few years ago this was a toy idea. Models were too big and laptops were too slow. That changed fast. Laptop chips now ship with neural engines built for this kind of work. Small open models got surprisingly good, and a few billion parameters is plenty for transcription, summaries and rewriting. Quantization squeezes them into ordinary memory without wrecking quality.

So a normal work laptop can now listen, transcribe, summarize and draft with the Wi-Fi switched off.

Privacy is the obvious one. A privacy policy is a promise, and data that never leaves your machine doesn't need one. If you're a lawyer, a doctor, a founder, or just sitting in a meeting under NDA, that's not a small difference.

Speed is the one people underestimate. There's no upload and no round trip, so dictation shows up while you're still talking instead of two seconds later. It sounds minor until you use it.

It also keeps working on a plane, in a basement meeting room, on terrible hotel Wi-Fi. And your transcripts and notes are just files on your disk. No account to get locked out of, no service quietly shutting down with your history inside it.

This is why Wavren AI is local-first. You talk, and it puts clean text into whatever app you're in. It spots your meetings, transcribes them and turns them into notes with the decisions and follow-ups pulled out. Capture, transcription and summarization all happen on your computer. Your voice, your transcripts and your notes stay local.

Dictation and meeting notes are only the first use. The same idea works for an assistant that searches your own documents, a coding helper that never touches the cloud, or a writing tool that learns your style from your files instead of everyone's.

I'd be lying if I said local AI has no downsides.

Hardware matters. An older laptop will be slower, and the best experience needs a recent chip. Smaller models also know less. They're excellent at focused jobs like transcription and summaries, but they won't beat the biggest cloud models at open-ended research. And every improvement has to ship to every device, instead of being upgraded once on a server.

For most daily work I can live with all of that. Most of what we ask AI to do is personal, repetitive and sensitive, and that's exactly where local wins.

For fifteen years we built the Internet of Things: billions of devices that sense the world and send it all to the cloud to be understood. The devices were dumb. The intelligence lived somewhere far away.

That's flipping. Once your laptop, phone, car, headset and doorbell can each run their own model, the intelligence moves to the edge, right next to you. I call this Immersive Edge AI: AI that surrounds you, understands your context as it happens, and does its thinking on the devices around you rather than in a distant data centre.

It turns IoT inside out, too. Instead of the Internet of Things, we get Things of AI (ToAI). In IoT, things served the network. In ToAI, each thing carries its own intelligence and serves the person in front of it. Your glasses translate a conversation without uploading it. Your car learns how you drive without reporting it. Your meeting room writes the minutes and forgets the audio.

Link those devices up and you get something like an Internet of Minds: lots of small, private intelligences that share only what you allow and help each other when it helps you. Everything else stays home.

Here's the part that excites me most. One small model on one device is modest. Hundreds of them in the same room, each good at one job and able to ask the others for help, start to add up to something much bigger. I call that Superintelligence Anywhere. Instead of one giant brain in a data centre that you rent by the token, intelligence shows up wherever you are: in your car, a hospital ward, a factory floor, or a village with patchy internet. It's built from the devices already around you.

We're not there yet, and I'd be wary of anyone who says we are. But the pieces are arriving: faster chips, much better small models, and devices that can work together without a server in the middle.

The cloud isn't going away. It'll keep training the big models and doing the heavy lifting. But the AI that hears your voice and reads your notes every day should sit on your own devices. That's what I'm building Wavren AI to do.