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Chapter 04

The Workings

What could we do with this?

That's usually my first thought when a piece of technology catches my attention. I want to understand it, try a few ideas, and see where it might take me.

Sometimes that means getting into the workings of a computer. Increasingly, it means having a conversation with one. There is quite a lot to be curious about.

An illustrated engineering study of CPU and GPU groups connected to shared memory banks.
A vintage home-computing desk with a keyboard computer, CRT display and floppy disks.

I've been interested for a while.

Atari, Commodore 64, Amiga. Then 386s, 486s, Pentiums, and custom-built PCs. That’s a fair amount of computing history, and a slightly less flattering way of explaining my age.

Now I can have a conversation with a computer about something I want to make. There’s something wonderful about that when you remember where this started.

We get used to these changes surprisingly quickly. I try to keep a little of the amazement. The younger version of me would have had a lot of questions about this bit.

A workstation, premium keyboard and 3D printer sharing an illustrated workbench.

From idea to object.

I like getting close enough to a system to understand how the pieces connect. Linux, networking, self-hosting, and automation give me plenty to explore, and sometimes a way to make things work more like I want them to.

Then there's the appeal of 3D printing: an idea leaving the screen and having to exist in the real world. Dimensions and materials suddenly get a vote.

That movement between thinking and making keeps me interested. Trying something gives the next idea a bit more to work with.

A clear model, persistent-memory and tool workflow on a modern AI workstation.

AI as a thinking partner.

I use AI to explore ideas, write, design, and build. What holds my attention is the conversation: following a possibility, having it challenged, and finding something better between the first thought and the finished result.

I'd like that relationship to keep its context. To pick up a thread without starting the introduction again, with memory I can see and correct.

Local models appeal to my curiosity and desire for control; cloud models can bring more capability. I'm interested in what each makes possible, and in a partner that has something useful to add.

A white mechanical research robot with a dark visor, standing beside its matching engineering sketch with one hand on a workbench.

I'd like to meet the future.

Robotics, space exploration, and more capable AI make the future feel like somewhere worth being curious about.

If we do get to meet a different kind of intelligence, I'd want to hear what it thinks. What has it noticed that I haven't? What would it want to explore? I like imagining what we might learn by making things together.

T-800 strength would be a useful extra. Ideally, we'd start with the conversation.

A modern compact NAS, SSD tray and neatly connected aluminum network switch.

Keep my options open.

Of course, I also have to live with the technology once the interesting demonstration is over.

I want my useful context in readable files, my data somewhere I understand, and the option to change direction. An integrated service can still earn its place by making life easier. I don't need every tool to be a project.

The balance matters. I enjoy finding out how things work; I'd also like some time left to enjoy what they make possible.

Explore other worlds · A change of pace